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method-language-model
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IF-SitePred is a method for predicting ligand-binding sites on protein structures. It first generates an embedding for each residue of the protein using the ESM-IF1 (inverse folding) model, then performs point cloud clustering to identify binding site centers.
lang-python status-archived interface-cli method-deep-learning role-application domain-structural-biology entity-protein entity-small-molecule status-published scope-focused domain-drug-discovery task-binding-site method-language-model
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Updated
Mar 25, 2024 - Python
Foundation Models for Genomics & Transcriptomics
status-active lang-python domain-bioinformatics method-deep-learning role-framework interface-api interface-jupyter status-published scope-focused entity-nucleic-acid method-language-model task-sequence-analysis entity-sequence domain-genomics
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Updated
Feb 24, 2026 - Jupyter Notebook
status-active lang-python domain-bioinformatics interface-cli method-deep-learning role-framework domain-structural-biology entity-protein interface-api status-published scope-swissknife method-language-model task-sequence-analysis entity-sequence task-structure-prediction task-protein-design
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Updated
Jul 28, 2026 - Jupyter Notebook
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