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sensaas

imported

therapeutics/sensaas

Shape-based alignment of molecules using 3D point-based representation

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

record
Category
Therapeutics
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
SENSAAS
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · computational-chemistry · drug-design · molecular-modeling · molecular-structures · point-cloud · shape-matching · similarity-search
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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.

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  • iSIMcheminformatics · drug-design · similarity-search

    Module containing scripts to perform multiple comparison simultaneously and getting the exact same value as the average pairwise comparisons of molecules represented by binary fingerprints or real…

  • stk-vischeminformatics · molecular-modeling · molecular-structures

    A cross-platform application for visualization of molecular databases.

  • ANI1_datasetcheminformatics · molecular-modeling · molecular-structures

    A data set of 20 million calculated off-equilibrium conformations for organic molecules

  • gninacheminformatics · computational-chemistry · molecular-modeling

    A deep learning framework for molecular docking

  • FPSim2cheminformatics · similarity-search

    Simple package for fast molecular similarity searches

sources
  1. api.github.com/repos/SENSAAS/sensaas
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-08, 26 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["sensaas"]

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