AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.

🏭 AI agent platform with skills for protein engineering, the noob-friendly AI tutorial tool for life science professionals.

Conversational & memory-enabled AI research partner for multi-omics analysis. From biological idea to full research paper.

ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, bet…

AetherCell is a hierarchical generative framework designed to predict context-specific transcriptomic responses to drugs and genetic perturbations. By bridging high-resolution RNA-seq contexts with…

Scalable framework for integrating single-cell omics with genetic data using AnnData.

scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)

Structure-Based Virtual Screening Pipeline for AI Agents

X-Cell: a diffusion language model for genome-scale perturbation prediction

A minimal PyTorch re-implementation of AlphaFold2's model & training

AlphaGenome PyTorch port

An Open-Source Multi-Agent Framework for Evidence-Based Biomedical Knowledge Graphs Enrichment

Code for doing minor analyses related to the IBDverse sc-eQTL propject

A fine-tuned version of ProteinMPNN for generating stable cyclic peptide sequences

Implementation of AlphaGenome, Deepmind's updated genomic attention model

design pipeline for protein, nucleic acid, and small molecule

de novo design of high affinity biological binders

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

VariantFormer: A hierarchical transformer integrating DNA sequences with genetic variations

Antigen-receptor Design Against Peptide-MHC Targets

Medea: An omics AI agent for therapeutic discovery

HalluDesign, a hallucination-driven all-atom framework for the iterative co-optimization and co-design of protein sequences and structures by leveraging the forward pass of a structure prediction m…

Fitness landscapes for antibodies

single-cell latent diffusion model