P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.

AI-Driven Scientific and Algorithmic Discovery

AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and supp…

BoUnds of Time Till Expansion, a computational framework to investigate the SCNA arrival time in the somatic evolution toward the most recent common ancestor of tumor sample(s)

byteff source code

KERMT is a pretrained graph neural network model for molecular property prediction.

Toward High-Accuracy Open-Source Biomolecular Structure Prediction.

composite-objective protein design

Official repository of PXDesign

ADMETrix: ADMET-Driven De Novo Molecular Generation

The MULTICOM4 protein structure prediction system developed by the Bioinformatics and Machine Learning Lab at the University of Missouri - Columbia

A machinelearning-based automated cell counting tool requiring only one image for training

AlphaFold 3 inference pipeline.

Transgene integration and rearrangement discovery using NGS

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

Machine learning-based integration model with elegant performance

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Here are some simple scripts to read, write and operate pubtator data

Use gpt to summarize abstracts for a pubmed query

A powerful and flexible machine learning platform for drug discovery

a novel DTA predition method using graph neural network

Target sequencing discovery using long reads

Contribute Packages to Bioconductor