Topics / #computational-biology

Computational-biology projects on GitHub

Computational biology courses and research tooling for biological data analysis.

As of , the most-starred Computational-biology projects on GitHub are cs-video-courses (83.8K stars), scientific-agent-skills (54.7K stars) and alphafold (14.9K stars). GitHub.Locker tracks 5 Computational-biology repositories with 154.2K stars combined. The fastest-growing on October 25 was scientific-agent-skills, with +169 stars in a day.

5Projects
154.2KStars in total
+205Stars in a day

Hot right now

Most stars gained in a day · Oct 25

The all-time top

5 projects · by stars

  1. #1 · Developer-Y/cs-video-courses

    cs-video-courses

    A curated list of university-level Computer Science courses that have publicly available video lectures, covering topics from intro programming to machine learning, security, robotics, and more.

    83.8K
  2. #2 · K-Dense-AI/scientific-agent-skills

    scientific-agent-skills

    Scientific Agent Skills is a library of 163 ready-to-use scientific and research skills that plug into any AI agent supporting the open Agent Skills standard, turning that agent into a research assistant for biology, chemistry, medicine, physics, and more.

    54.7K
  3. #3 · google-deepmind/alphafold

    alphafold

    AlphaFold is Google DeepMind's open source implementation of the AlphaFold v2 inference pipeline, which predicts 3D protein structures from amino acid sequences, plus a work-in-progress AlphaFold-Multimer model for protein complexes.

    14.9K
  1. 4

    RFD4-Proteina

    440RosettaCommons/RFD4-Proteina · Python

    RFD4-Proteina is a flow-matching foundation model for generative protein and biomolecular design from the Baker Lab and NVIDIA GenAIR. It does sequence-structure co-design with motif, binding-site, and reward-guided conditioning for tasks like binders, antibodies, enzymes, and small-molecule pockets.

  2. 5

    bioemu2

    422microsoft/bioemu2 · Python

    BioEmu2 (biomolecular emulator) is a foundation model from Microsoft Research AI for Science that predicts folded protein/nucleic-acid structures, samples equilibrium structural ensembles, and propagates structures forward in time.

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