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antiref

AntiRef: reference clusters of human antibody sequences

Language:Jupyter NotebookLicense:MITStargazers:10Issues:0Issues:0

AVIDa-hIL6

Code for NeurIPS 2023 paper "AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions"

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AbAgIntPre

AbAgIntPre webserver source code

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PICH

Priority Index Approach to Clonal Hematopoiesis

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Frame2seq

Structure-conditioned masked language modeling for protein sequence design

Language:PythonLicense:MITStargazers:50Issues:0Issues:0

sparse

Sparse multi-dimensional arrays for the PyData ecosystem

Language:PythonLicense:BSD-3-ClauseStargazers:566Issues:0Issues:0

Snippets-for-ColabFold

A collections of snippets for working with ColabFold

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pyrosetta-help

Some scripts that I keep using over and over.

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AlphaRED

AlphaFold-initiated replica exchange protein docking

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supervenn

supervenn: precise and easy-to-read multiple sets visualization in Python

Language:PythonLicense:MITStargazers:300Issues:0Issues:0

SPACE2

Tool for rapid clustering of antibody models by the structure of their CDRs.

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DockQ

DockQ is a single continuous quality measure for protein docked models based on the CAPRI evaluation protocol

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KarmaLoop

Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop

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ColabFold

Making Protein folding accessible to all!

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localcolabfold

ColabFold on your local PC

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dyMEAN

This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"

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AttnPacker

Code and Pre-Trained Models for "AttnPacker: An end-to-end deep learning method for protein side-chain packing"

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UMI-tools

Tools for handling Unique Molecular Identifiers in NGS data sets

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Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

License:GPL-3.0Stargazers:1437Issues:0Issues:0

papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

License:GPL-3.0Stargazers:1171Issues:0Issues:0

nanobody-polyreactivity

Polyreactivity Website

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diffab

✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)

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OmegaFold

OmegaFold Release Code

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IgFold

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

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ImmuneBuilder

Predict the structure of immune receptor proteins

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kasearch

KA-Search: Rapid and exhaustive sequence identity search of known antibodies

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esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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