Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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33 of 7,755 resources matching “protein”
OpusTaxa is an open-source Snakemake workflow for the end
protein language models (300M/600M/6B) trained on billions of protein sequences
RFdiffusion is an open source method for structure generation, with
protein binder design with test-time optimization, SOTA on binder
197 bioinformatics and life science skills for Claude Code and
AlphaFast is a framework designed to accelerate the Multiple Sequence
PinPath enables flexible visualization of (omics) data onto pathways diagrams
protein design platform via Google Colab integrating AlphaFold2, RoseTTAFold, and ProteinMPNN
protein engineering, and biomolecular design (329+ stars, Apache 2.0 / CC-BY-4.0, 2026)
Local-first, open-source AI workbench for scientists — an open
protein sequence, structure, and biochemical properties to predict class-I immunogenicity
A Python package for protein dynamics analysis
Molecular dynamics analysis
protein sequence, structure, and function, trained on 2.78 billion proteins
An object-oriented, webGL based JavaScript library for online molecular
Eukaryotic Genome Annotation Pipeline-External caller scripts and documentation
MiRA (Multilayer Interactive Rendering Application) is a free, browser-based
proteins and regions from sequence, with GPU/CPU inference, trajectory export
protein, structure, and single-cell tasks with reproducible CLIs and pretrained
proteins, nucleic acids, small molecules, and cyclic peptides with fine
Access to Biological Web Services from Python.
protein-nucleic acid-small molecule-metal ion complexes, enabling accurate
proteins, nucleic acids, ligands, ions, and post-translational modifications within
Hybrid deep learning and alignment-based tool for identifying viruses
A [Jupyter](https://jupyter.org/) widget to interactively view molecular
protein-ligand conformational ensemble prediction and docking, generating diverse solutions
protein function by integrating structural and evolutionary constraints into protein
Another list focuses on Python stuff related to Chemistry.
protein backbone generator utilizing hierarchical fold class labels for conditioning
protein activities, enabling rapid protein engineering with minimal experimental data
SKESA is a de-novo sequence read assembler for microbial
proteins and nucleic acids. It is designed for high-throughput