Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction Article Swipe
Xiaoqing Lian
,
Tianxu Lv
,
Jie Zhu
,
Shiyun Nie
,
Hang Fan
,
Guosheng Wu
,
Yunjun Ge
,
Hong Xu
,
Xiaoting Wang
,
Lihua Li
,
Xiangxiang Zeng
,
Xiang Pan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202506404
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202506404
Significant differences in protein structures hinder the generalization of existing drug‐target interaction (DTI) models, which often rely heavily on pre‐learned binding principles or detailed annotations. In contrast, BioBridge designs an Inductive‐Associative pipeline inspired by the workflow of scientists who base their accumulated expertise on drawing insights into novel drug‐target pairs from weakly related references. BioBridge predicts novel drug–target interactions using limited sequence data, incorporating multi‐level encoders with adversarial training to accumulate transferable binding principles. On these principles basis, BioBridge employs a dynamic prototype meta‐learning framework to associate insights from weakly related annotations, enabling robust predictions for previously unseen drug‐target pairs. Extensive experiments demonstrate that BioBridge surpasses existing models, especially for unseen proteins. Notably, when only homologous protein binding data is available, BioBridge demonstrates robust efficacy for virtual screening of the epidermal growth factor receptor and adenosine receptor, underscoring its potential in drug discovery.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202506404
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202506404
- OA Status
- gold
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411919198
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411919198Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/advs.202506404Digital Object Identifier
- Title
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Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction PredictionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-01Full publication date if available
- Authors
-
Xiaoqing Lian, Tianxu Lv, Jie Zhu, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Hong Xu, Xiaoting Wang, Lihua Li, Xiangxiang Zeng, Xiang PanList of authors in order
- Landing page
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https://doi.org/10.1002/advs.202506404Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202506404Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202506404Direct OA link when available
- Concepts
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Computer science, Pipeline (software), Generalization, Artificial intelligence, Associative learning, Machine learning, Associative property, Drug target, Biology, Neuroscience, Programming language, Pharmacology, Pure mathematics, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| citation_normalized_percentile.value | 0.26379242 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |