7.571 - Quantitative Analysis of Biological Data Material
Repositórios
Repositórios de sokrypton
Material for lecture
TF2-compatible Accumulated Gradients for Adam
WIP
Source code for CIRPIN: Learning Circular Permutation-Invariant Representations to Uncover Putative Protein Homologs
random colab notebooks for biology
Making Protein Design accessible to all via Google Colab!
params moved to seperate repo
Making Protein folding accessible to all!
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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.
GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
OmegaFold Release Code