Mutational Effect Transfer Learning (METL) framework for pretraining and finetuning biophysics-informed protein language models

Pretrained METL models with minimal dependencies

High-throughput framework for running molecular simulations for METL

Low N machine learning-assisted directed evolution perspective written with Manubot

Gene regulatory network reconstruction from pseudotemporal single-cell gene expression data

Supplementary datasets and scripts for the METL manuscript

A study of yeast osmotic stress response signaling

Scripts for analyzing HIV-1 producer cell proteomic and phosphoproteomic data

End-to-end active learning pipeline for virtual screening and drug discovery

Pathway reconstruction with a minimum cost flow algorithm