Implementation of Alphafold 3 in Pytorch
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Updated
Jun 24, 2024 - Python
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
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
Calculating a range of protein descriptors using their physicochemical, biological and structural properties 🔬.
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
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
Fast and accurate protein structure prediction
An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.
An unofficial re-implementation of RoseTTAFold, a three-track deep learning model for protein structure prediction.
Multi-S3P: Protein Secondary Structure Prediction with Specialized Multi-Network and Self-Attention-based Deep Learning Model
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.
A transformer network trained to predict end-to-end single sequence protein structure as a set of angles given amino acid sequences.
Unofficial re-implementation of IgFold, a fast antibody structure prediction method, in PyTorch.
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
Repository with scripts and data generated during my internship at Institut Pasteur of Paris
Source code and dataset for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction"
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