Official repository for the Boltz-1 biomolecular interaction model

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/

This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-shot active learning.

AlphaFold 3 inference pipeline.

User friendly and accurate binder design pipeline

A DIY guide to gene ontology, pathway, and gene set enrichment analysis

Jupyter widget to interactively view molecular structures and trajectories

A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions

AutoDock Vina

LLM101n: Let's build a Storyteller

🧬 gget enables efficient querying of genomic reference databases

Protein structure diffusion model for unconditional protein generation and motif scaffolding

Predict disorder and disorder binding from AlphaFold structures

Generates images from mmCIF/BCIF files

MLX: An array framework for Apple silicon

Identifying peptide-receptor interactions using AlphaFold-Multimer

Foldseek enables fast and sensitive comparisons of large structure sets.

Multiple sequence and structure alignment with top benchmark scores scalable to thousands of sequences. Generates replicate alignments, enabling assessment of downstream analyses such as trees and …

ColabFold on your local PC

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

In silico directed evolution of peptide binders with AlphaFold

Source code for molecular graphics program UCSF ChimeraX

Making Protein Design accessible to all via Google Colab!