Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Updated
Jun 13, 2024 - Python
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
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 and accurate protein structure prediction
PyMissense creates the pathogenicity plot and modified pdb as shown in the AlphaMissense paper for custom proteins.
Distance-based protein model quality estimation using deep ResNets
CB513 datasets for Protein Secondary Structure Prediction
Calculating a range of protein descriptors using their physicochemical, biological and structural properties 🔬.
This project aims to solve a simplified version of the Protein Structure Prediction problem, represented as a combinatorial optimization task, using Reinforcement Learning.
Source code and dataset for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction"
Alpha-Protein: Protein Contact-map Prediction Boosted by Attention
A machine learning model that builds amino acids into a protein model.
OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer
Protein Structure prediction using Hybrid Differential Evolution (HybridDE)
An unofficial re-implementation of RoseTTAFold, a three-track deep learning model for protein structure prediction.
A transformer network trained to predict end-to-end single sequence protein structure as a set of angles given amino acid sequences.
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