Graph Network for protein-protein interface
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Updated
Mar 22, 2024 - Python
Graph Network for protein-protein interface
A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
E(3) equivariant graph neural network for PPI site prediction
Code repository for the SPOC tool for scoring binary AF-M predicitons.
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM
Community-Maintained Version of mordred (Quantitative Estimate Index for Early-Stage Screening of Compounds Targeting Protein-Protein Interactions)
Structural Interactome pipeline
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 with RL
Convert PPIs in HIPPIE to BEL
Analyzing biological networks using statistical testing to uncover significant differences in protein distributions based on functional relationships.
Incorporating Triplet Error for Predicting PPIs using Deep Learning
Tools for processing and analysing PPI datasets
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