Stars
alphafold3 architecture step by step walkthrough.
Supporting material for the PROPHET-Ab publication.
Codebase for Germinal, a broadly enabling generative pipeline for efficient generation of epitope-targeted de novo antibodies.
DE-STRESS is a model evaluation pipeline that aims to make protein design more reliable and accessible.
A bunch of shell utilities for dealing the silent files
A god-simulation sandbox game built on Godot 4 as a multi-agent AI social simulation system. In this virtual world, AI characters possess independent thinking and memory, capable of autonomous soci…
Repo of AntiBMPNN project for antibody sequence design.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles
State is a machine learning model that predicts cellular perturbation response across diverse contexts
Boltzina: Efficient and Accurate Virtual Screening via Docking-Guided Binding Prediction with Boltz-2
Sample models for the PhysiCell grammar / rules paper
Learning the language of protein-protein interactions
User friendly and accurate binder design pipeline
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Model Context Protocol Servers
The Tavily Python wrapper allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python program…
Official repository for the Boltz biomolecular interaction models
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model | NeurIPS '25
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Codes for our paper "UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design" (ICML 2025)