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Protein Design Python Packages

Python packages with the GitHub topic protein-design. Sorted by relevance, with stars and monthly downloads.
Croydon-Brixton
pymol-remote

Send data to and from pymol from a remote server (e.g. a cluster running deep learning workflows)

15K 37 3
a-r-j
graphein

Protein Graph Library

4K 1K 141
y1zhou
arpeggia

A library for analyzing protein-protein interactions in PDB and mmCIF files

3K 4 1
tshauck
gcgc

GCGC is a preprocessing library for biological sequence model development.

1K 9 1
lucidrains
tr-rosetta-pytorch

Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design

894 83 8
samsinai
flexs

FLEXS: an open simulation environment for developing and comparing model-guided biological sequence design algorithms.

347 173 22
drewschaub
protein-design-tools

A toolkit for protein structure analysis and design.

336 2 0
kyegomez
progen-torch

Implementation of the model from "ProGen: Language Modeling for Protein Generation"

325 11 0
OATML-Markslab
proteingym

Official repository for the ProteinGym benchmarks

304 428 57
OATML-Markslab
proteinnpt

ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers

277 130 18
jaumebonet
rstoolbox

Python Toolbox For Rosetta Silent Files Processing

177 10 9
dohlee
protstruc

Utility library for handling protein structures in Python.

176 3 1
LLNL
protlib-designer

Integer Linear Programming for Protein Library Design

136 9 2
RomeroLab
ggrecomb

Design chimeric protein libraries with Golden Gate Assembly.

131 7 5
psalveso
pyrif

Using Rotamer Interaction Fields from RIFGen/Dock in python

125 18 4
RomeroLab
schemarecomb

Design recombinant protein libraries for Golden Gate Assembly.

63 7 5
poseidonchan
protein-watermark

Injecting watermarks to protein sequences for privacy protection in biosecurity

60 10 1
willsheffler
rif

Rotamer Interaction Field Python Libraries for Computational Protein Design

39 14 10
    • Data from PyPI, GitHub, ClickHouse, and BigQuery