Decentralized Protein Folding Bittensor Subnet
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Updated
Sep 11, 2024 - Jupyter Notebook
Decentralized Protein Folding Bittensor Subnet
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
Protein 3D structure prediction pipeline
The largest open-source dataset for Protein Single Sequence Secondary Structure prediction.
Optimizing AlphaFold Training and Inference on GPU Clusters
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.
Your open-source alternative to AlphaFold3🚀
Python code for simulating protein folding using Monte Carlo and analyzing the structure with MDTraj and Bio.PDB
Deep learning for protein science
Protein folding is the physical process by which a protein chain attains its functional three-dimensional structure from a simple sequence of amino acids.
Python library for implementing geometrical representations of curves.
A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.
CA-2-HCOMB is a tool for simplifying single-chain protein structures from PDB files into manageable models like various honeycombs, retaining essential information for in-depth computations. It's efficient for large datasets and machine learning, and user-friendly for research and education.
This is a repo for the "Monte Carlo Simulations of Protein Folding" project. This project is my final project in the computational physics course at Brown University, taken in spring 2018.
Exploring Uniform Random Sampling in HP Model Protein Folding
a package of Python modules and example scripts for experimenting with the two-dimensional HP lattice model of Dill and Chan.
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
Implementation of the HP protein folding model with commands line interface
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