Showing 1-16 of 16 projects
Open-source code for AlphaFold 2, a powerful AI system for predicting protein structures.
AlphaFold 3 is a Python-based inference pipeline for protein structure prediction using deep learning.
Biopython is a set of Python modules that provide a wide range of functionality for bioinformatics, including DNA/RNA/protein sequence analysis, phylogenetics, and more.
Evolutionary Scale Modeling (ESM): Pretrained language models for proteins in Python.
Code for running RFdiffusion, a machine learning library for protein structure prediction.
A curated list of papers about using deep learning for protein design.
A repository of machine learning papers focused on proteins, useful for researchers and developers in the field.
A trainable PyTorch reproduction of the AlphaFold 3 protein structure prediction model.
Open-source code for the ProteinMPNN paper, a machine learning model for protein structure prediction.
A state-of-the-art pretrained language model for proteins, enabling advanced AI-powered protein analysis.
A Python-based toolbox for creating molecular animations in Blender, powered by Geometry Nodes.
Foldseek is a fast and sensitive tool for comparing large sets of protein structures, enabling rapid bioinformatics analysis.
Graphein is a Python library for building and analyzing protein interaction graphs for drug discovery and computational biology.
A deep learning toolkit for drug discovery, drug-target interaction, and protein function prediction.
A bio-computing platform for large-scale representation learning and multi-task deep learning on molecular and biological data.
Open-source implementation of the AlphaFold3 deep learning model for protein structure prediction.
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