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fvhallucinator

gnina

A deep learning framework for molecular docking

google-research

Google Research

gvp-msa

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hemonet

humantransprot

This repository contains the data preprocessing analysis scripts of the manuscript "Quantification and discovery of sequence determinants of protein per mRNA amount in 29 human tissues" by Eraslan et al., Molecular Systems Biology, 2019

icodon

iCodon customizes gene expression based on the codon composition

igfold

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

immunesim

integrative-analysis-with-r

lbeep

Linear Exact B-Cell Epitope Predictor

low-n-protein-engineering

Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

mixcr

MiXCR is a universal software for fast and accurate extraction of T- and B- cell receptor repertoires from any type of sequencing data. Free for academic use only.

musitedeep_web

This repository contains the stand-alone tool for MusiteDeep server

names

Analysis of most poisoned names in US

non-small-cell-lung-cancer

nu-ngs01

NGS-1 Data analysis course

papers_for_protein_design_using_dl

List of papers about Proteins Design using Deep Learning

practice_assignment

Practice assignment for the R programming class on Coursera

premnas

A Framework to Estimate Intraclonal Heterogeneity and Subpopulation Changes from Perturbational Bulk Gene Expression Profiles

prodigy

Repository containing various scripts to predict the binding affinity of protein-protein complexes from structure

protease_experimental_analysis

pyrosetta.notebooks

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

qsar-model-for-bace1

rita

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.

rosettafold_docker

Docker image for the RoseTTAFold system from the UW Baker Lab.

sapiens

Sapiens is a human antibody language model based on BERT.

scaffold_design