There are 6 repositories under proteins topic.
Toolbox for molecular animations in Blender, powered by Geometry Nodes.
Standardized data set for machine learning of protein structure
Diffusion models of protein structure; trigonometry and attention are all you need!
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
A Python API for the RCSB Protein Data Bank (PDB)
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
MoleculeKit: Your favorite molecule manipulation kit
Official repo of the modular BioExcel version of HADDOCK
A PyTorch framework for prediction of tertiary protein structure
Learning Universal Representations of Intermolecular Interactions with ATOMICA
sensitive and precise assembly of short sequencing reads
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
Python macromolecular parsing (with .pdb/.cif/.mmtf parsing and production)
Dataset and package for working with protein-protein interactions in 3D
Contextual AI models for single-cell protein biology
A Julia package to analyze protein sequences, structures, and evolutionary information
Inference code for PoET: A generative model of protein families as sequences-of-sequences
A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
Official repository for discrete Walk-Jump Sampling (dWJS)
Explore the cancer relevance of your gene list
The Enhanced Database of Interacting Protein Structures for Interface Prediction
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
Protein Design by Machine Learning guided Directed Evolution
Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.