Learning to design protein-protein interactions with enhanced generalization (ICLR24)
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Updated
Oct 24, 2024 - Jupyter Notebook
Learning to design protein-protein interactions with enhanced generalization (ICLR24)
Incorporating Triplet Error for Predicting PPIs using Deep Learning
Tools for processing and analysing PPI datasets
Graph Network for protein-protein interface
E(3) equivariant graph neural network for PPI site prediction
Analyzing biological networks using statistical testing to uncover significant differences in protein distributions based on functional relationships.
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 with RL
A geometric deep learning pipeline for predicting protein interface contacts. (ICLR 2022)
Structural Interactome pipeline
Convert PPIs in HIPPIE to BEL
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