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

A curated list of awesome Agent Skills, tools, and resources for building modular AI agents.

Antibody structure prediction model for sampling conformational ensembles

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…

Structure-Based Virtual Screening Pipeline for AI Agents

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🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.

AlphaGenome PyTorch port

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

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

Biomni-Web: A General-Purpose Biomedical AI Agent with Custom UI

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

VariantFormer: A hierarchical transformer integrating DNA sequences with genetic variations

Protein design with infilling language models and reinforcement learning — for antibodies and beyond.

Antigen-receptor Design Against Peptide-MHC Targets

Medea: An omics AI agent for therapeutic discovery

Making Protein Design accessible to all via Google Colab!

Making Protein folding accessible to all!

Tools for annotation, processing and ML for antibody sequences

My implementations on the 5 assignments of cs336

Obtain trait-relevant cell subpopulations by incorporating pathway activity transformed scRNA-seq data with GWAS data