Implementation of Alphafold 3 in Pytorch

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

A Rust implementation of the LightDock macromolecular docking software

A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.

Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

Differentiable Pairing using Alignment-based Language Models

Prospr is a universal toolbox for protein structure prediction within the HP-model. The Python package is based on a C++ core, which gives Prospr its high performance. The C++ core is made available as a separate zip file to facilitate high-performance computing applications. The package comes with many prediction algorithms and datasets to use.

Calculating a range of protein descriptors using their physicochemical, biological and structural properties 🔬.

CASP15 performance benchmarking of the state-of-the-art protein structure prediction methods

A package-like tool that analyzes protein sequences, categorizes a protein of interest into one of two groups, predicts secondary structure based on dihedral angles/Ramachandran plots and Chou and Fasman's statistical propensity method, and does pattern search by Naive, KMP, and Bayer-Moore

Implementation of the HP protein folding model with commands line interface

Quantum algorithms for protein structure prediction. Language: Python (Qiskit). Platform: IBM Quantum's backends and simulators.

PyMissense creates the pathogenicity plot and modified pdb as shown in the AlphaMissense paper for custom proteins.

A method designed for proteome-scale sequence-based evaluation of protein-protein interfaces as defined by structural models of protein-protein interaction complexes.

personal RE-implementation of GANcon paper

Predict protein folding structures using ColabFold. Gain a deeper understanding of protein folding prediction with AlphaFold2 and MMseqs2. Run the Jupyter notebook on UCloud, learn to interpret results, predict protein structures of interest. Technical requirements provided. Enhance your knowledge of protein folding and AlphaFold2's principles. Fam

Fast and accurate protein structure prediction

An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.