There are 17 repositories under protein-structure-prediction topic.
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
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
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.
An interactive visual simulator for distance-based protein folding
A Rust implementation of the LightDock macromolecular docking software
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.
PyMissense creates the pathogenicity plot and modified pdb as shown in the AlphaMissense paper for custom proteins.
NetSurfP 3.0: Protein secondary structure and relative solvent accessibility prediction
Differentiable Pairing using Alignment-based Language Models
A curated list of awesome protein design research, software and resources.
Protein structure prediction using optimization methods from the field of machine learning
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"
A balance-evolution artificial bee colony algorithm for protein structure optimization based on a three-dimensional AB off-lattice model
Quantum algorithms for protein structure prediction. Language: Python (Qiskit). Platform: IBM Quantum's backends and simulators.
CASP15 performance benchmarking of the state-of-the-art protein structure prediction methods
List of useful resources for the Bioinformatics and Computational Biology field
Alpha-Protein: Protein Contact-map Prediction Boosted by Attention
Protein Structure prediction using Hybrid Differential Evolution (HybridDE)
Evolutionary Computation methods applied to protein structure prediction and protein folding modeling with the Rosetta Software Suite
An unofficial re-implementation of RoseTTAFold, a three-track deep learning model for protein structure prediction.
A machine learning model that builds amino acids into a protein model.
Superposition-based Protein Embedded CA SC score
personal RE-implementation of GANcon paper