BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization Article Swipe
Mingmin Liang
,
Xianzhi Liu
,
Juncai Li
,
Qijia Chen
,
Bin Zeng
,
Zhong Wang
,
Jing Li
,
Lei Wang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2024.1497886
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmicb.2024.1497886
Introduction Predicting potential associations between microbes and drugs is crucial for advancing pharmaceutical research and development. In this manuscript, we introduced an innovative computational model named BANNMDA by integrating Bilinear Attention Networks(BAN) with the Nuclear Norm Minimization (NNM) to uncover hidden connections between microbes and drugs. Methods In BANNMDA, we initially constructed a heterogeneous microbe-drug network by combining multiple drug and microbe similarity metrics with known microbe-drug relationships. Subsequently, we applied both BAN and NNM to compute predicted scores of potential microbe-drug associations. Finally, we implemented 5-fold cross-validation frameworks to evaluate the prediction performance of BANNMDA. Results and discussion The experimental results indicated that BANNMDA outperformed state-of-the-art competitive methods. We conducted case studies on well-known drugs such as the Amoxicillin and Ceftazidime, as well as on pathogens such as Bacillus cereus and Influenza A virus, to further evaluate the efficacy of BANNMDA, and experimental outcomes showed that there were 9 out of the top 10 predicted drugs, along with 8 and 9 out of the top 10 predicted microbes having been corroborated by relevant literatures. These findings underscored the capability of BANNMDA to achieve commendable predictive accuracy.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmicb.2024.1497886
- https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406716619
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406716619Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fmicb.2024.1497886Digital Object Identifier
- Title
-
BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-22Full publication date if available
- Authors
-
Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei WangList of authors in order
- Landing page
-
https://doi.org/10.3389/fmicb.2024.1497886Publisher landing page
- PDF URL
-
https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/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://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdfDirect OA link when available
- Concepts
-
Drug, Bilinear interpolation, Computer science, Norm (philosophy), Machine learning, Computational biology, Artificial intelligence, Biochemical engineering, Biology, Pharmacology, Engineering, Political science, Law, Computer visionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406716619 |
|---|---|
| doi | https://doi.org/10.3389/fmicb.2024.1497886 |
| ids.doi | https://doi.org/10.3389/fmicb.2024.1497886 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39911712 |
| ids.openalex | https://openalex.org/W4406716619 |
| fwci | 5.01839543 |
| type | article |
| title | BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization |
| awards[0].id | https://openalex.org/G8699969100 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 62272064 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| awards[1].id | https://openalex.org/G4187444880 |
| awards[1].funder_id | https://openalex.org/F4320322843 |
| awards[1].display_name | |
| awards[1].funder_award_id | 2023JJ60185 |
| awards[1].funder_display_name | Natural Science Foundation of Hunan Province |
| biblio.issue | |
| biblio.volume | 15 |
| biblio.last_page | 1497886 |
| biblio.first_page | 1497886 |
| 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 | 0.9983000159263611 |
| 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/T12254 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9918000102043152 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Machine Learning in Bioinformatics |
| topics[2].id | https://openalex.org/T10066 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9869999885559082 |
| 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 | Gut microbiota and health |
| 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/F4320322843 |
| funders[1].ror | |
| funders[1].display_name | Natural Science Foundation of Hunan Province |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C2780035454 |
| concepts[0].level | 2 |
| concepts[0].score | 0.579037070274353 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q8386 |
| concepts[0].display_name | Drug |
| concepts[1].id | https://openalex.org/C205203396 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5011286735534668 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q612143 |
| concepts[1].display_name | Bilinear interpolation |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.42906349897384644 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C191795146 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4214562475681305 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3878446 |
| concepts[3].display_name | Norm (philosophy) |
| concepts[4].id | https://openalex.org/C119857082 |
| concepts[4].level | 1 |
| concepts[4].score | 0.39363038539886475 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[4].display_name | Machine learning |
| concepts[5].id | https://openalex.org/C70721500 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3863835334777832 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[5].display_name | Computational biology |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3779008984565735 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C183696295 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3250653147697449 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2487696 |
| concepts[7].display_name | Biochemical engineering |
| concepts[8].id | https://openalex.org/C86803240 |
| concepts[8].level | 0 |
| concepts[8].score | 0.2790166437625885 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[8].display_name | Biology |
| concepts[9].id | https://openalex.org/C98274493 |
| concepts[9].level | 1 |
| concepts[9].score | 0.19608399271965027 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q128406 |
| concepts[9].display_name | Pharmacology |
| concepts[10].id | https://openalex.org/C127413603 |
| concepts[10].level | 0 |
| concepts[10].score | 0.1071244478225708 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[10].display_name | Engineering |
| concepts[11].id | https://openalex.org/C17744445 |
| concepts[11].level | 0 |
| concepts[11].score | 0.07617023587226868 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[11].display_name | Political science |
| concepts[12].id | https://openalex.org/C199539241 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[12].display_name | Law |
| concepts[13].id | https://openalex.org/C31972630 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[13].display_name | Computer vision |
| keywords[0].id | https://openalex.org/keywords/drug |
| keywords[0].score | 0.579037070274353 |
| keywords[0].display_name | Drug |
| keywords[1].id | https://openalex.org/keywords/bilinear-interpolation |
| keywords[1].score | 0.5011286735534668 |
| keywords[1].display_name | Bilinear interpolation |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.42906349897384644 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/norm |
| keywords[3].score | 0.4214562475681305 |
| keywords[3].display_name | Norm (philosophy) |
| keywords[4].id | https://openalex.org/keywords/machine-learning |
| keywords[4].score | 0.39363038539886475 |
| keywords[4].display_name | Machine learning |
| keywords[5].id | https://openalex.org/keywords/computational-biology |
| keywords[5].score | 0.3863835334777832 |
| keywords[5].display_name | Computational biology |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.3779008984565735 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/biochemical-engineering |
| keywords[7].score | 0.3250653147697449 |
| keywords[7].display_name | Biochemical engineering |
| keywords[8].id | https://openalex.org/keywords/biology |
| keywords[8].score | 0.2790166437625885 |
| keywords[8].display_name | Biology |
| keywords[9].id | https://openalex.org/keywords/pharmacology |
| keywords[9].score | 0.19608399271965027 |
| keywords[9].display_name | Pharmacology |
| keywords[10].id | https://openalex.org/keywords/engineering |
| keywords[10].score | 0.1071244478225708 |
| keywords[10].display_name | Engineering |
| keywords[11].id | https://openalex.org/keywords/political-science |
| keywords[11].score | 0.07617023587226868 |
| keywords[11].display_name | Political science |
| language | en |
| locations[0].id | doi:10.3389/fmicb.2024.1497886 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2484704948 |
| locations[0].source.issn | 1664-302X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1664-302X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Microbiology |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Microbiology |
| locations[0].landing_page_url | https://doi.org/10.3389/fmicb.2024.1497886 |
| locations[1].id | pmid:39911712 |
| 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 | Frontiers in microbiology |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39911712 |
| locations[2].id | pmh:oai:doaj.org/article:ec0c19916f02485ea523b4cccd79476b |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Frontiers in Microbiology, Vol 15 (2025) |
| locations[2].landing_page_url | https://doaj.org/article/ec0c19916f02485ea523b4cccd79476b |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11794793 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Front Microbiol |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11794793 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5106715694 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Mingmin Liang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210146182 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Intelligent Equipment, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210146182 |
| authorships[0].institutions[0].ror | https://ror.org/05cmpp263 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210146182 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Hunan Vocational College of Safety Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mingmin Liang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Intelligent Equipment, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[1].author.id | https://openalex.org/A5101751488 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6646-273X |
| authorships[1].author.display_name | Xianzhi Liu |
| authorships[1].affiliations[0].raw_affiliation_string | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xianzhi Liu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[2].author.id | https://openalex.org/A5048055932 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3169-8646 |
| authorships[2].author.display_name | Juncai Li |
| authorships[2].affiliations[0].raw_affiliation_string | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Juncai Li |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[3].author.id | https://openalex.org/A5019142239 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Qijia Chen |
| authorships[3].affiliations[0].raw_affiliation_string | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Qijia Chen |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[4].author.id | https://openalex.org/A5026037336 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1905-8929 |
| authorships[4].author.display_name | Bin Zeng |
| authorships[4].affiliations[0].raw_affiliation_string | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Bin Zeng |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[5].author.id | https://openalex.org/A5100435276 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-6206-526X |
| authorships[5].author.display_name | Zhong Wang |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210146182 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Humanities and Education, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[5].institutions[0].id | https://openalex.org/I4210146182 |
| authorships[5].institutions[0].ror | https://ror.org/05cmpp263 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210146182 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Hunan Vocational College of Safety Technology |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Zhong Wang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Humanities and Education, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[6].author.id | https://openalex.org/A5108077749 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Jing Li |
| authorships[6].affiliations[0].raw_affiliation_string | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Jing Li |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | School of Information Engineering, Hunan Vocational College of Electronic and Technology, Changsha, China |
| authorships[7].author.id | https://openalex.org/A5100710637 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-5065-8447 |
| authorships[7].author.display_name | Lei Wang |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I198357462 |
| authorships[7].affiliations[0].raw_affiliation_string | Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, China |
| authorships[7].institutions[0].id | https://openalex.org/I198357462 |
| authorships[7].institutions[0].ror | https://ror.org/011d8sm39 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I198357462 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Changsha University |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Lei Wang |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization |
| has_fulltext | True |
| 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 | 0.9983000159263611 |
| 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/W2165589608, https://openalex.org/W3093557575, https://openalex.org/W2354231916, https://openalex.org/W3182767856, https://openalex.org/W2162140574, https://openalex.org/W2354073393, https://openalex.org/W2361009070, https://openalex.org/W2121457398, https://openalex.org/W1915958221, https://openalex.org/W2378988399 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3389/fmicb.2024.1497886 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2484704948 |
| best_oa_location.source.issn | 1664-302X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1664-302X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Microbiology |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Microbiology |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fmicb.2024.1497886 |
| primary_location.id | doi:10.3389/fmicb.2024.1497886 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2484704948 |
| primary_location.source.issn | 1664-302X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1664-302X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Microbiology |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497886/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Microbiology |
| primary_location.landing_page_url | https://doi.org/10.3389/fmicb.2024.1497886 |
| publication_date | 2025-01-22 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2896964185, https://openalex.org/W2145205934, https://openalex.org/W2114034330, https://openalex.org/W3213167957, https://openalex.org/W2153710045, https://openalex.org/W4318981550, https://openalex.org/W2008997396, https://openalex.org/W4255502791, https://openalex.org/W3194560733, https://openalex.org/W4283362531, https://openalex.org/W2896473060, https://openalex.org/W4372352530, https://openalex.org/W3125283370, https://openalex.org/W1807462308, https://openalex.org/W2145336165, https://openalex.org/W4295519365, https://openalex.org/W2087007556, https://openalex.org/W2128769815, https://openalex.org/W2991735893, https://openalex.org/W2583889943, https://openalex.org/W6752083267, https://openalex.org/W4391970351, https://openalex.org/W4313391829, https://openalex.org/W4387807380, https://openalex.org/W2073332363, https://openalex.org/W4308770421, https://openalex.org/W4313480822, https://openalex.org/W4318982906, https://openalex.org/W4321600416, https://openalex.org/W3178147479, https://openalex.org/W3128733555, https://openalex.org/W2738654971, https://openalex.org/W4296311163, https://openalex.org/W2769934873, https://openalex.org/W2118550318, https://openalex.org/W3201291311, https://openalex.org/W2016853666, https://openalex.org/W4398479379, https://openalex.org/W2012606594, https://openalex.org/W2903096015, https://openalex.org/W2900569176, https://openalex.org/W4309467503, https://openalex.org/W4318539234, https://openalex.org/W2008054523, https://openalex.org/W4212796599, https://openalex.org/W4377011817, https://openalex.org/W3106165797, https://openalex.org/W4200313900, https://openalex.org/W4327614135, https://openalex.org/W3005110075, https://openalex.org/W4223609654, https://openalex.org/W2963521239 |
| referenced_works_count | 52 |
| abstract_inverted_index.8 | 159 |
| abstract_inverted_index.9 | 149, 161 |
| abstract_inverted_index.A | 133 |
| abstract_inverted_index.a | 52 |
| abstract_inverted_index.10 | 154, 166 |
| abstract_inverted_index.In | 16, 47 |
| abstract_inverted_index.We | 109 |
| abstract_inverted_index.an | 21 |
| abstract_inverted_index.as | 117, 122, 124, 128 |
| abstract_inverted_index.by | 27, 56, 172 |
| abstract_inverted_index.is | 8 |
| abstract_inverted_index.of | 79, 94, 140, 151, 163, 180 |
| abstract_inverted_index.on | 113, 125 |
| abstract_inverted_index.to | 38, 75, 89, 135, 182 |
| abstract_inverted_index.we | 19, 49, 69, 84 |
| abstract_inverted_index.BAN | 72 |
| abstract_inverted_index.NNM | 74 |
| abstract_inverted_index.The | 99 |
| abstract_inverted_index.and | 6, 14, 44, 60, 73, 97, 120, 131, 142, 160 |
| abstract_inverted_index.for | 10 |
| abstract_inverted_index.out | 150, 162 |
| abstract_inverted_index.the | 33, 91, 118, 138, 152, 164, 178 |
| abstract_inverted_index.top | 153, 165 |
| abstract_inverted_index.Norm | 35 |
| abstract_inverted_index.been | 170 |
| abstract_inverted_index.both | 71 |
| abstract_inverted_index.case | 111 |
| abstract_inverted_index.drug | 59 |
| abstract_inverted_index.such | 116, 127 |
| abstract_inverted_index.that | 103, 146 |
| abstract_inverted_index.this | 17 |
| abstract_inverted_index.well | 123 |
| abstract_inverted_index.were | 148 |
| abstract_inverted_index.with | 32, 64, 158 |
| abstract_inverted_index.(NNM) | 37 |
| abstract_inverted_index.These | 175 |
| abstract_inverted_index.along | 157 |
| abstract_inverted_index.drugs | 7, 115 |
| abstract_inverted_index.known | 65 |
| abstract_inverted_index.model | 24 |
| abstract_inverted_index.named | 25 |
| abstract_inverted_index.there | 147 |
| abstract_inverted_index.5-fold | 86 |
| abstract_inverted_index.cereus | 130 |
| abstract_inverted_index.drugs, | 156 |
| abstract_inverted_index.drugs. | 45 |
| abstract_inverted_index.having | 169 |
| abstract_inverted_index.hidden | 40 |
| abstract_inverted_index.scores | 78 |
| abstract_inverted_index.showed | 145 |
| abstract_inverted_index.virus, | 134 |
| abstract_inverted_index.BANNMDA | 26, 104, 181 |
| abstract_inverted_index.Methods | 46 |
| abstract_inverted_index.Nuclear | 34 |
| abstract_inverted_index.Results | 96 |
| abstract_inverted_index.achieve | 183 |
| abstract_inverted_index.applied | 70 |
| abstract_inverted_index.between | 4, 42 |
| abstract_inverted_index.compute | 76 |
| abstract_inverted_index.crucial | 9 |
| abstract_inverted_index.further | 136 |
| abstract_inverted_index.metrics | 63 |
| abstract_inverted_index.microbe | 61 |
| abstract_inverted_index.network | 55 |
| abstract_inverted_index.results | 101 |
| abstract_inverted_index.studies | 112 |
| abstract_inverted_index.uncover | 39 |
| abstract_inverted_index.BANNMDA, | 48, 141 |
| abstract_inverted_index.BANNMDA. | 95 |
| abstract_inverted_index.Bacillus | 129 |
| abstract_inverted_index.Bilinear | 29 |
| abstract_inverted_index.Finally, | 83 |
| abstract_inverted_index.efficacy | 139 |
| abstract_inverted_index.evaluate | 90, 137 |
| abstract_inverted_index.findings | 176 |
| abstract_inverted_index.methods. | 108 |
| abstract_inverted_index.microbes | 5, 43, 168 |
| abstract_inverted_index.multiple | 58 |
| abstract_inverted_index.outcomes | 144 |
| abstract_inverted_index.relevant | 173 |
| abstract_inverted_index.research | 13 |
| abstract_inverted_index.Attention | 30 |
| abstract_inverted_index.Influenza | 132 |
| abstract_inverted_index.accuracy. | 186 |
| abstract_inverted_index.advancing | 11 |
| abstract_inverted_index.combining | 57 |
| abstract_inverted_index.conducted | 110 |
| abstract_inverted_index.indicated | 102 |
| abstract_inverted_index.initially | 50 |
| abstract_inverted_index.pathogens | 126 |
| abstract_inverted_index.potential | 2, 80 |
| abstract_inverted_index.predicted | 77, 155, 167 |
| abstract_inverted_index.Predicting | 1 |
| abstract_inverted_index.capability | 179 |
| abstract_inverted_index.discussion | 98 |
| abstract_inverted_index.frameworks | 88 |
| abstract_inverted_index.innovative | 22 |
| abstract_inverted_index.introduced | 20 |
| abstract_inverted_index.prediction | 92 |
| abstract_inverted_index.predictive | 185 |
| abstract_inverted_index.similarity | 62 |
| abstract_inverted_index.well-known | 114 |
| abstract_inverted_index.Amoxicillin | 119 |
| abstract_inverted_index.commendable | 184 |
| abstract_inverted_index.competitive | 107 |
| abstract_inverted_index.connections | 41 |
| abstract_inverted_index.constructed | 51 |
| abstract_inverted_index.implemented | 85 |
| abstract_inverted_index.integrating | 28 |
| abstract_inverted_index.manuscript, | 18 |
| abstract_inverted_index.performance | 93 |
| abstract_inverted_index.underscored | 177 |
| abstract_inverted_index.Ceftazidime, | 121 |
| abstract_inverted_index.Introduction | 0 |
| abstract_inverted_index.Minimization | 36 |
| abstract_inverted_index.associations | 3 |
| abstract_inverted_index.corroborated | 171 |
| abstract_inverted_index.development. | 15 |
| abstract_inverted_index.experimental | 100, 143 |
| abstract_inverted_index.literatures. | 174 |
| abstract_inverted_index.microbe-drug | 54, 66, 81 |
| abstract_inverted_index.outperformed | 105 |
| abstract_inverted_index.Networks(BAN) | 31 |
| abstract_inverted_index.Subsequently, | 68 |
| abstract_inverted_index.associations. | 82 |
| abstract_inverted_index.computational | 23 |
| abstract_inverted_index.heterogeneous | 53 |
| abstract_inverted_index.pharmaceutical | 12 |
| abstract_inverted_index.relationships. | 67 |
| abstract_inverted_index.cross-validation | 87 |
| abstract_inverted_index.state-of-the-art | 106 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5019142239, https://openalex.org/A5048055932 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/17 |
| sustainable_development_goals[0].score | 0.4300000071525574 |
| sustainable_development_goals[0].display_name | Partnerships for the goals |
| citation_normalized_percentile.value | 0.84807686 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |