This is your work, valued

Sergey Ovchinnikov

Elite
@sokrypton

ColabFold. Making Protein folding accessible to all!

2.8k

ColabDesign. Making Protein Design accessible to all via Google Colab!

922

af2bind. JavaScript

85

GREMLIN_CPP. GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!

60

map_align. Contact map alignment

44

af_backprop. Python

38

seqmodels. Jupyter Notebook

34

ColabBio. random colab notebooks for biology

26

GREMLIN. GREMLIN is a method to learn a statistical model of a protein family that captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predictive of residue-residue contacts in the 3D structure of the protein.

25

RFdiffusion. Code for running RFdiffusion

15

roscon2024. Tutorial files

12

seqsal. Jupyter Notebook

11

tf_proteins. some tools for working with protein (PDB) files in tensorflow

11

TrDesign_partialhall. TrDesign w/ Partial Hallucination support

10

algosb_2021. for algosb workshop

9

laxy. lazy wrapper around jax

9

HelixFold. Python

9

sp_deli. Jupyter Notebook

8

GREMLIN_LH. Jupyter Notebook

8

OmegaFold. OmegaFold Release Code

7

msa-tools. various scripts for working with MSAs

4

RoseTTAFold2. Python

3

seqsal_v2.

3

e2e.

3

ws2023. Jupyter Notebook

2

EMBOIntegModelling23. Jupyter Notebook

2

embo-2025. EMBO Practical Course Integrative modelling of biomolecular interactions

2

trdesign-motif. Codebase for our preprint using trRosetta to design proteins with discontinuous functional sites, found here: https://www.biorxiv.org/content/10.1101/2020.11.29.402743v1.abstract

2

GREMLIN_CNN. Jupyter Notebook

2

openseq. Jupyter Notebook

1

casp15_analysis. Jupyter Notebook

1

ColabDesign_params. params moved to seperate repo

1

AM216. Material for lecture

1

AccAdam_TF2. TF2-compatible Accumulated Gradients for Adam

1