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

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

Implementation of Alphafold 3 in Pytorch

An implementation of the DeepMind's AlphaFold based on PyTorch for research

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

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

De novo protein structure prediction using iteratively predicted structural constraints

Fast and accurate protein structure prediction

Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your cold brew almond milk latte and read this.

Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

NetSurfP 3.0: Protein secondary structure and relative solvent accessibility prediction

An interactive visual simulator for distance-based protein folding

A balance-evolution artificial bee colony algorithm for protein structure optimization based on a three-dimensional AB off-lattice model

Distance-based protein model quality estimation using deep ResNets

A Rust implementation of the LightDock macromolecular docking software

Protein structure prediction using optimization methods from the field of machine learning

This project aims to solve a simplified version of the Protein Structure Prediction problem, represented as a combinatorial optimization task, using Reinforcement Learning.

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

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