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
Mar 20, 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
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Versatile computational pipeline for processing protein structure data for deep learning applications.
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
The first large protein language model trained follows structure instructions.
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
Official repository for discrete Walk-Jump Sampling (dWJS)
Protein Sequence Design with Deep Learning and Tooling like Monte Carlo Sampling and Analysis
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
RosettaDesign using PyRosetta
Official repository for discrete Walk-Jump Sampling (dWJS)
PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.
Design platform for creating single-chain polyhedral cages made from coiled-coil building modules
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