MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention Article Swipe
Wenchuan Zhao
,
Yufeng Yu
,
Guosheng Liu
,
Yanchun Liang
,
Dong Xu
,
Xiaoyue Feng
,
Renchu Guan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/bib/bbae238
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/bib/bbae238
Identifying drug-target interactions (DTIs) holds significant importance in drug discovery and development, playing a crucial role in various areas such as virtual screening, drug repurposing and identification of potential drug side effects. However, existing methods commonly exploit only a single type of feature from drugs and targets, suffering from miscellaneous challenges such as high sparsity and cold-start problems. We propose a novel framework called MSI-DTI (Multi-Source Information-based Drug-Target Interaction Prediction) to enhance prediction performance, which obtains feature representations from different views by integrating biometric features and knowledge graph representations from multi-source information. Our approach involves constructing a Drug-Target Knowledge Graph (DTKG), obtaining multiple feature representations from diverse information sources for SMILES sequences and amino acid sequences, incorporating network features from DTKG and performing an effective multi-source information fusion. Subsequently, we employ a multi-head self-attention mechanism coupled with residual connections to capture higher-order interaction information between sparse features while preserving lower-order information. Experimental results on DTKG and two benchmark datasets demonstrate that our MSI-DTI outperforms several state-of-the-art DTIs prediction methods, yielding more accurate and robust predictions. The source codes and datasets are publicly accessible at https://github.com/KEAML-JLU/MSI-DTI.
Related Topics
Concepts
Computer science
Drug repositioning
Source code
Exploit
Interaction information
Benchmark (surveying)
Feature (linguistics)
Graph
Artificial intelligence
Machine learning
Identification (biology)
Data mining
Drug
Theoretical computer science
Botany
Geodesy
Philosophy
Mathematics
Psychology
Linguistics
Psychiatry
Biology
Operating system
Geography
Statistics
Computer security
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/bib/bbae238
- https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdf
- OA Status
- gold
- Cited By
- 16
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4397050505
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4397050505Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/bib/bbae238Digital Object Identifier
- Title
-
MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attentionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-27Full publication date if available
- Authors
-
Wenchuan Zhao, Yufeng Yu, Guosheng Liu, Yanchun Liang, Dong Xu, Xiaoyue Feng, Renchu GuanList of authors in order
- Landing page
-
https://doi.org/10.1093/bib/bbae238Publisher landing page
- PDF URL
-
https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdfDirect OA link when available
- Concepts
-
Computer science, Drug repositioning, Source code, Exploit, Interaction information, Benchmark (surveying), Feature (linguistics), Graph, Artificial intelligence, Machine learning, Identification (biology), Data mining, Drug, Theoretical computer science, Botany, Geodesy, Philosophy, Mathematics, Psychology, Linguistics, Psychiatry, Biology, Operating system, Geography, Statistics, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4397050505 |
|---|---|
| doi | https://doi.org/10.1093/bib/bbae238 |
| ids.doi | https://doi.org/10.1093/bib/bbae238 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38762789 |
| ids.openalex | https://openalex.org/W4397050505 |
| fwci | 12.64216919 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D055808 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Drug Discovery |
| mesh[1].qualifier_ui | Q000379 |
| mesh[1].descriptor_ui | D019295 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | methods |
| mesh[1].descriptor_name | Computational Biology |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D000465 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Algorithms |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D006801 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Humans |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D055808 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Drug Discovery |
| mesh[5].qualifier_ui | Q000379 |
| mesh[5].descriptor_ui | D019295 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | methods |
| mesh[5].descriptor_name | Computational Biology |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D000465 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Algorithms |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D006801 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Humans |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D055808 |
| mesh[8].is_major_topic | True |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Drug Discovery |
| mesh[9].qualifier_ui | Q000379 |
| mesh[9].descriptor_ui | D019295 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | methods |
| mesh[9].descriptor_name | Computational Biology |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D000465 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Algorithms |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D006801 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Humans |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D055808 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Drug Discovery |
| mesh[13].qualifier_ui | Q000379 |
| mesh[13].descriptor_ui | D019295 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | methods |
| mesh[13].descriptor_name | Computational Biology |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D000465 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Algorithms |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D006801 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Humans |
| type | article |
| title | MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention |
| awards[0].id | https://openalex.org/G3095911524 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 62372494 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| awards[1].id | https://openalex.org/G5022398162 |
| awards[1].funder_id | https://openalex.org/F4320321001 |
| awards[1].display_name | |
| awards[1].funder_award_id | 62372209 |
| awards[1].funder_display_name | National Natural Science Foundation of China |
| awards[2].id | https://openalex.org/G611205877 |
| awards[2].funder_id | https://openalex.org/F4320335777 |
| awards[2].display_name | |
| awards[2].funder_award_id | 2021YFF1201200 |
| awards[2].funder_display_name | National Key Research and Development Program of China |
| awards[3].id | https://openalex.org/G1518729344 |
| awards[3].funder_id | https://openalex.org/F4320321001 |
| awards[3].display_name | |
| awards[3].funder_award_id | 62172187 |
| awards[3].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 3 |
| biblio.volume | 25 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10211 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1703 |
| topics[0].subfield.display_name | Computational Theory and Mathematics |
| topics[0].display_name | Computational Drug Discovery Methods |
| topics[1].id | https://openalex.org/T11948 |
| topics[1].field.id | https://openalex.org/fields/25 |
| topics[1].field.display_name | Materials Science |
| topics[1].score | 0.9783999919891357 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2505 |
| topics[1].subfield.display_name | Materials Chemistry |
| topics[1].display_name | Machine Learning in Materials Science |
| topics[2].id | https://openalex.org/T10044 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9710000157356262 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Protein Structure and Dynamics |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320335777 |
| funders[1].ror | |
| funders[1].display_name | National Key Research and Development Program of China |
| is_xpac | False |
| apc_list.value | 4011 |
| apc_list.currency | USD |
| apc_list.value_usd | 4011 |
| apc_paid.value | 4011 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 4011 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8165609836578369 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C103637391 |
| concepts[1].level | 3 |
| concepts[1].score | 0.6343327760696411 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q5308921 |
| concepts[1].display_name | Drug repositioning |
| concepts[2].id | https://openalex.org/C43126263 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5957856178283691 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q128751 |
| concepts[2].display_name | Source code |
| concepts[3].id | https://openalex.org/C165696696 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5486250519752502 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11287 |
| concepts[3].display_name | Exploit |
| concepts[4].id | https://openalex.org/C38764148 |
| concepts[4].level | 2 |
| concepts[4].score | 0.528053343296051 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q17098245 |
| concepts[4].display_name | Interaction information |
| concepts[5].id | https://openalex.org/C185798385 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5274032950401306 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1161707 |
| concepts[5].display_name | Benchmark (surveying) |
| concepts[6].id | https://openalex.org/C2776401178 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5076349973678589 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q12050496 |
| concepts[6].display_name | Feature (linguistics) |
| concepts[7].id | https://openalex.org/C132525143 |
| concepts[7].level | 2 |
| concepts[7].score | 0.505969226360321 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[7].display_name | Graph |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4511333405971527 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C119857082 |
| concepts[9].level | 1 |
| concepts[9].score | 0.4434674382209778 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[9].display_name | Machine learning |
| concepts[10].id | https://openalex.org/C116834253 |
| concepts[10].level | 2 |
| concepts[10].score | 0.41799354553222656 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[10].display_name | Identification (biology) |
| concepts[11].id | https://openalex.org/C124101348 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3812670409679413 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[11].display_name | Data mining |
| concepts[12].id | https://openalex.org/C2780035454 |
| concepts[12].level | 2 |
| concepts[12].score | 0.2468796968460083 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8386 |
| concepts[12].display_name | Drug |
| concepts[13].id | https://openalex.org/C80444323 |
| concepts[13].level | 1 |
| concepts[13].score | 0.16372063755989075 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[13].display_name | Theoretical computer science |
| concepts[14].id | https://openalex.org/C59822182 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[14].display_name | Botany |
| concepts[15].id | https://openalex.org/C13280743 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q131089 |
| concepts[15].display_name | Geodesy |
| concepts[16].id | https://openalex.org/C138885662 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[16].display_name | Philosophy |
| concepts[17].id | https://openalex.org/C33923547 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[17].display_name | Mathematics |
| concepts[18].id | https://openalex.org/C15744967 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[18].display_name | Psychology |
| concepts[19].id | https://openalex.org/C41895202 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[19].display_name | Linguistics |
| concepts[20].id | https://openalex.org/C118552586 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q7867 |
| concepts[20].display_name | Psychiatry |
| concepts[21].id | https://openalex.org/C86803240 |
| concepts[21].level | 0 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[21].display_name | Biology |
| concepts[22].id | https://openalex.org/C111919701 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[22].display_name | Operating system |
| concepts[23].id | https://openalex.org/C205649164 |
| concepts[23].level | 0 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[23].display_name | Geography |
| concepts[24].id | https://openalex.org/C105795698 |
| concepts[24].level | 1 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[24].display_name | Statistics |
| concepts[25].id | https://openalex.org/C38652104 |
| concepts[25].level | 1 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[25].display_name | Computer security |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8165609836578369 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/drug-repositioning |
| keywords[1].score | 0.6343327760696411 |
| keywords[1].display_name | Drug repositioning |
| keywords[2].id | https://openalex.org/keywords/source-code |
| keywords[2].score | 0.5957856178283691 |
| keywords[2].display_name | Source code |
| keywords[3].id | https://openalex.org/keywords/exploit |
| keywords[3].score | 0.5486250519752502 |
| keywords[3].display_name | Exploit |
| keywords[4].id | https://openalex.org/keywords/interaction-information |
| keywords[4].score | 0.528053343296051 |
| keywords[4].display_name | Interaction information |
| keywords[5].id | https://openalex.org/keywords/benchmark |
| keywords[5].score | 0.5274032950401306 |
| keywords[5].display_name | Benchmark (surveying) |
| keywords[6].id | https://openalex.org/keywords/feature |
| keywords[6].score | 0.5076349973678589 |
| keywords[6].display_name | Feature (linguistics) |
| keywords[7].id | https://openalex.org/keywords/graph |
| keywords[7].score | 0.505969226360321 |
| keywords[7].display_name | Graph |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.4511333405971527 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/machine-learning |
| keywords[9].score | 0.4434674382209778 |
| keywords[9].display_name | Machine learning |
| keywords[10].id | https://openalex.org/keywords/identification |
| keywords[10].score | 0.41799354553222656 |
| keywords[10].display_name | Identification (biology) |
| keywords[11].id | https://openalex.org/keywords/data-mining |
| keywords[11].score | 0.3812670409679413 |
| keywords[11].display_name | Data mining |
| keywords[12].id | https://openalex.org/keywords/drug |
| keywords[12].score | 0.2468796968460083 |
| keywords[12].display_name | Drug |
| keywords[13].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[13].score | 0.16372063755989075 |
| keywords[13].display_name | Theoretical computer science |
| language | en |
| locations[0].id | doi:10.1093/bib/bbae238 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S91767247 |
| locations[0].source.issn | 1467-5463, 1477-4054 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1467-5463 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Briefings in Bioinformatics |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | |
| locations[0].pdf_url | https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Briefings in Bioinformatics |
| locations[0].landing_page_url | https://doi.org/10.1093/bib/bbae238 |
| locations[1].id | pmid:38762789 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Briefings in bioinformatics |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38762789 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:11102638 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Brief Bioinform |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11102638 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5087605861 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2877-6743 |
| authorships[0].author.display_name | Wenchuan Zhao |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[0].institutions[0].id | https://openalex.org/I194450716 |
| authorships[0].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Jilin University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Wenchuan Zhao |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[1].author.id | https://openalex.org/A5101654638 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2824-1880 |
| authorships[1].author.display_name | Yufeng Yu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[1].affiliations[0].raw_affiliation_string | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[1].institutions[0].id | https://openalex.org/I194450716 |
| authorships[1].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Jilin University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yufeng Yu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[2].author.id | https://openalex.org/A5055508803 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-0572-9370 |
| authorships[2].author.display_name | Guosheng Liu |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[2].affiliations[0].raw_affiliation_string | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[2].institutions[0].id | https://openalex.org/I194450716 |
| authorships[2].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Jilin University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Guosheng Liu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[3].author.id | https://openalex.org/A5076665413 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1147-3968 |
| authorships[3].author.display_name | Yanchun Liang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210165204 |
| authorships[3].affiliations[0].raw_affiliation_string | Zhuhai Laboratory of the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , Zhuhai College of Science and Technology, Zhuhai 519041 , China |
| authorships[3].institutions[0].id | https://openalex.org/I4210165204 |
| authorships[3].institutions[0].ror | https://ror.org/05r1mzq61 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210145761, https://openalex.org/I4210165204 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Zhuhai Institute of Advanced Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Yanchun Liang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Zhuhai Laboratory of the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , Zhuhai College of Science and Technology, Zhuhai 519041 , China |
| authorships[4].author.id | https://openalex.org/A5059703957 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-9669-0357 |
| authorships[4].author.display_name | Dong Xu |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I76835614 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Computer Science , Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 , USA |
| authorships[4].institutions[0].id | https://openalex.org/I76835614 |
| authorships[4].institutions[0].ror | https://ror.org/02ymw8z06 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I76835614 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | University of Missouri |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Dong Xu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Computer Science , Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211 , USA |
| authorships[5].author.id | https://openalex.org/A5052831869 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-3954-1333 |
| authorships[5].author.display_name | Xiaoyue Feng |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[5].affiliations[0].raw_affiliation_string | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[5].institutions[0].id | https://openalex.org/I194450716 |
| authorships[5].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Jilin University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Xiaoyue Feng |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[6].author.id | https://openalex.org/A5007914848 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-7162-7826 |
| authorships[6].author.display_name | Renchu Guan |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[6].affiliations[0].raw_affiliation_string | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| authorships[6].institutions[0].id | https://openalex.org/I194450716 |
| authorships[6].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Jilin University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Renchu Guan |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education , College of Computer Science and Technology, Jilin University, Changchun 130012, Jilin , China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10211 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1703 |
| primary_topic.subfield.display_name | Computational Theory and Mathematics |
| primary_topic.display_name | Computational Drug Discovery Methods |
| related_works | https://openalex.org/W17155033, https://openalex.org/W3207760230, https://openalex.org/W1496222301, https://openalex.org/W1590307681, https://openalex.org/W2536018345, https://openalex.org/W4312814274, https://openalex.org/W4285370786, https://openalex.org/W2296488620, https://openalex.org/W2358353312, https://openalex.org/W4386541577 |
| cited_by_count | 16 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 11 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 5 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1093/bib/bbae238 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S91767247 |
| best_oa_location.source.issn | 1467-5463, 1477-4054 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1467-5463 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Briefings in Bioinformatics |
| best_oa_location.source.host_organization | https://openalex.org/P4310311648 |
| best_oa_location.source.host_organization_name | Oxford University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| best_oa_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Briefings in Bioinformatics |
| best_oa_location.landing_page_url | https://doi.org/10.1093/bib/bbae238 |
| primary_location.id | doi:10.1093/bib/bbae238 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S91767247 |
| primary_location.source.issn | 1467-5463, 1477-4054 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1467-5463 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Briefings in Bioinformatics |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | |
| primary_location.pdf_url | https://academic.oup.com/bib/article-pdf/25/3/bbae238/57743156/bbae238.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Briefings in Bioinformatics |
| primary_location.landing_page_url | https://doi.org/10.1093/bib/bbae238 |
| publication_date | 2024-03-27 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2992586577, https://openalex.org/W2935632020, https://openalex.org/W2108103746, https://openalex.org/W2336040088, https://openalex.org/W2162011385, https://openalex.org/W3177828909, https://openalex.org/W2810986024, https://openalex.org/W2790733063, https://openalex.org/W2753953057, https://openalex.org/W4239510810, https://openalex.org/W6677656871, https://openalex.org/W2911964244, https://openalex.org/W2139736926, https://openalex.org/W2079745490, https://openalex.org/W2619948933, https://openalex.org/W1971106435, https://openalex.org/W2184981123, https://openalex.org/W6686420396, https://openalex.org/W3188463051, https://openalex.org/W2132179808, https://openalex.org/W2114358087, https://openalex.org/W2096605027, https://openalex.org/W2592742128, https://openalex.org/W2785947426, https://openalex.org/W3096561213, https://openalex.org/W2767891136, https://openalex.org/W2949311246, https://openalex.org/W2998922495, https://openalex.org/W6754498612, https://openalex.org/W6769589523, https://openalex.org/W2086286404, https://openalex.org/W2035585923, https://openalex.org/W2009313526, https://openalex.org/W6736091738, https://openalex.org/W3206585172, https://openalex.org/W4392913700, https://openalex.org/W3018980093, https://openalex.org/W2256553158, https://openalex.org/W4200547951, https://openalex.org/W6726873649, https://openalex.org/W6745537798, https://openalex.org/W6754929296, https://openalex.org/W3217751816, https://openalex.org/W4310458612, https://openalex.org/W3028589594, https://openalex.org/W4323653718, https://openalex.org/W6741640790, https://openalex.org/W6736052557, https://openalex.org/W2443960221, https://openalex.org/W2007649418, https://openalex.org/W3210890261, https://openalex.org/W2549761003, https://openalex.org/W4286218281, https://openalex.org/W3102943483, https://openalex.org/W2962711740, https://openalex.org/W2964015378, https://openalex.org/W2604662567, https://openalex.org/W2913077324, https://openalex.org/W2952402334, https://openalex.org/W4297733535, https://openalex.org/W2118585731, https://openalex.org/W2995448904, https://openalex.org/W2605952223, https://openalex.org/W2912358215, https://openalex.org/W3154566661, https://openalex.org/W2183717576 |
| referenced_works_count | 66 |
| abstract_inverted_index.a | 14, 39, 61, 97, 132 |
| abstract_inverted_index.We | 59 |
| abstract_inverted_index.an | 124 |
| abstract_inverted_index.as | 21, 53 |
| abstract_inverted_index.at | 184 |
| abstract_inverted_index.by | 82 |
| abstract_inverted_index.in | 8, 17 |
| abstract_inverted_index.of | 28, 42 |
| abstract_inverted_index.on | 154 |
| abstract_inverted_index.to | 71, 140 |
| abstract_inverted_index.we | 130 |
| abstract_inverted_index.Our | 93 |
| abstract_inverted_index.The | 176 |
| abstract_inverted_index.and | 11, 26, 46, 56, 86, 113, 122, 156, 173, 179 |
| abstract_inverted_index.are | 181 |
| abstract_inverted_index.for | 110 |
| abstract_inverted_index.our | 162 |
| abstract_inverted_index.two | 157 |
| abstract_inverted_index.DTIs | 167 |
| abstract_inverted_index.DTKG | 121, 155 |
| abstract_inverted_index.acid | 115 |
| abstract_inverted_index.drug | 9, 24, 30 |
| abstract_inverted_index.from | 44, 49, 79, 90, 106, 120 |
| abstract_inverted_index.high | 54 |
| abstract_inverted_index.more | 171 |
| abstract_inverted_index.only | 38 |
| abstract_inverted_index.role | 16 |
| abstract_inverted_index.side | 31 |
| abstract_inverted_index.such | 20, 52 |
| abstract_inverted_index.that | 161 |
| abstract_inverted_index.type | 41 |
| abstract_inverted_index.with | 137 |
| abstract_inverted_index.Graph | 100 |
| abstract_inverted_index.amino | 114 |
| abstract_inverted_index.areas | 19 |
| abstract_inverted_index.codes | 178 |
| abstract_inverted_index.drugs | 45 |
| abstract_inverted_index.graph | 88 |
| abstract_inverted_index.holds | 5 |
| abstract_inverted_index.novel | 62 |
| abstract_inverted_index.views | 81 |
| abstract_inverted_index.which | 75 |
| abstract_inverted_index.while | 148 |
| abstract_inverted_index.(DTIs) | 4 |
| abstract_inverted_index.SMILES | 111 |
| abstract_inverted_index.called | 64 |
| abstract_inverted_index.employ | 131 |
| abstract_inverted_index.robust | 174 |
| abstract_inverted_index.single | 40 |
| abstract_inverted_index.source | 177 |
| abstract_inverted_index.sparse | 146 |
| abstract_inverted_index.(DTKG), | 101 |
| abstract_inverted_index.MSI-DTI | 65, 163 |
| abstract_inverted_index.between | 145 |
| abstract_inverted_index.capture | 141 |
| abstract_inverted_index.coupled | 136 |
| abstract_inverted_index.crucial | 15 |
| abstract_inverted_index.diverse | 107 |
| abstract_inverted_index.enhance | 72 |
| abstract_inverted_index.exploit | 37 |
| abstract_inverted_index.feature | 43, 77, 104 |
| abstract_inverted_index.fusion. | 128 |
| abstract_inverted_index.methods | 35 |
| abstract_inverted_index.network | 118 |
| abstract_inverted_index.obtains | 76 |
| abstract_inverted_index.playing | 13 |
| abstract_inverted_index.propose | 60 |
| abstract_inverted_index.results | 153 |
| abstract_inverted_index.several | 165 |
| abstract_inverted_index.sources | 109 |
| abstract_inverted_index.various | 18 |
| abstract_inverted_index.virtual | 22 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 33 |
| abstract_inverted_index.accurate | 172 |
| abstract_inverted_index.approach | 94 |
| abstract_inverted_index.commonly | 36 |
| abstract_inverted_index.datasets | 159, 180 |
| abstract_inverted_index.effects. | 32 |
| abstract_inverted_index.existing | 34 |
| abstract_inverted_index.features | 85, 119, 147 |
| abstract_inverted_index.involves | 95 |
| abstract_inverted_index.methods, | 169 |
| abstract_inverted_index.multiple | 103 |
| abstract_inverted_index.publicly | 182 |
| abstract_inverted_index.residual | 138 |
| abstract_inverted_index.sparsity | 55 |
| abstract_inverted_index.targets, | 47 |
| abstract_inverted_index.yielding | 170 |
| abstract_inverted_index.Knowledge | 99 |
| abstract_inverted_index.benchmark | 158 |
| abstract_inverted_index.biometric | 84 |
| abstract_inverted_index.different | 80 |
| abstract_inverted_index.discovery | 10 |
| abstract_inverted_index.effective | 125 |
| abstract_inverted_index.framework | 63 |
| abstract_inverted_index.knowledge | 87 |
| abstract_inverted_index.mechanism | 135 |
| abstract_inverted_index.obtaining | 102 |
| abstract_inverted_index.potential | 29 |
| abstract_inverted_index.problems. | 58 |
| abstract_inverted_index.sequences | 112 |
| abstract_inverted_index.suffering | 48 |
| abstract_inverted_index.accessible | 183 |
| abstract_inverted_index.challenges | 51 |
| abstract_inverted_index.cold-start | 57 |
| abstract_inverted_index.importance | 7 |
| abstract_inverted_index.multi-head | 133 |
| abstract_inverted_index.performing | 123 |
| abstract_inverted_index.prediction | 73, 168 |
| abstract_inverted_index.preserving | 149 |
| abstract_inverted_index.screening, | 23 |
| abstract_inverted_index.sequences, | 116 |
| abstract_inverted_index.Drug-Target | 68, 98 |
| abstract_inverted_index.Identifying | 1 |
| abstract_inverted_index.Interaction | 69 |
| abstract_inverted_index.Prediction) | 70 |
| abstract_inverted_index.connections | 139 |
| abstract_inverted_index.demonstrate | 160 |
| abstract_inverted_index.drug-target | 2 |
| abstract_inverted_index.information | 108, 127, 144 |
| abstract_inverted_index.integrating | 83 |
| abstract_inverted_index.interaction | 143 |
| abstract_inverted_index.lower-order | 150 |
| abstract_inverted_index.outperforms | 164 |
| abstract_inverted_index.repurposing | 25 |
| abstract_inverted_index.significant | 6 |
| abstract_inverted_index.Experimental | 152 |
| abstract_inverted_index.constructing | 96 |
| abstract_inverted_index.development, | 12 |
| abstract_inverted_index.higher-order | 142 |
| abstract_inverted_index.information. | 92, 151 |
| abstract_inverted_index.interactions | 3 |
| abstract_inverted_index.multi-source | 91, 126 |
| abstract_inverted_index.performance, | 74 |
| abstract_inverted_index.predictions. | 175 |
| abstract_inverted_index.(Multi-Source | 66 |
| abstract_inverted_index.Subsequently, | 129 |
| abstract_inverted_index.incorporating | 117 |
| abstract_inverted_index.miscellaneous | 50 |
| abstract_inverted_index.identification | 27 |
| abstract_inverted_index.self-attention | 134 |
| abstract_inverted_index.representations | 78, 89, 105 |
| abstract_inverted_index.state-of-the-art | 166 |
| abstract_inverted_index.Information-based | 67 |
| abstract_inverted_index.https://github.com/KEAML-JLU/MSI-DTI. | 185 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.97845366 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |