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aims

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therapeutics/aims

AIMS: Artificial Intelligence for Molecular Sciences

Machine-generated from the listed sources and not yet reviewed by a human.

aims project image
GitHub preview card for Institute-for-Future-Intelligence/aims. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
Institute-for-Future-Intelligence
Country
unknown
Documentation
unknown
Tags
ai · artificial-intelligence · bioinformatics · cheminformatics · computer-aided-design · drug-discovery · insilico · materials-science · molecular-modeling · molecular-simulation
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Posebioinformatics · drug-discovery · molecular-simulation

    A bare-metal Python library for building and manipulating the molecular structures of proteins, nucleic acids, and small organic molecules

  • ALKYLbioinformatics · cheminformatics · drug-discovery · molecular-modeling

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • MCHammercheminformatics · molecular-simulation

    Implementation of cheap Monte Carlo optimisation of bonds in molecules

  • molecular-tscheminformatics · molecular-simulation

    Virtual chemistry simultaion. Particle automata. Visualization of the behavior of particles in 2D and 3D space. Artifical life research.

  • molecular-vaecheminformatics · drug-discovery · materials-science

    Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"

  • gninacheminformatics · drug-discovery · molecular-modeling

    A deep learning framework for molecular docking

sources
  1. api.github.com/repos/Institute-for-Future-Intelligence/aims
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-09, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/31.json→ .entries["aims"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.