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ADMET_calculations

imported

therapeutics/admet-calculations

ADMET calculations from different research paper and a goal to make it memory efficent with ML implementations.

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

ADMET_calculations project image
GitHub preview card for santuchal/ADMET_calculations. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
admet · cheminformatics · machine-learning · molecular-des · molecular-structures · predictive-analytics · small-molecule
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.

  • admetMesh-Botadmet · cheminformatics

    :robot: Use GitHub Actions and admetMesh to predict admet automatically per 30 minutes.

  • ALKYLadmet · cheminformatics

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • network-pharmacology-cookbookadmet · cheminformatics

    Reproducible R pipeline for network pharmacology analysis of plant extracts — from GC-MS data to pre-docking candidate prioritization

  • Bayesian-Illuminationcheminformatics · molecular-structures

    Bayesian Illumination is an accelerated generative model for optimization of small molecules.

  • sensaascheminformatics · molecular-structures

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

  • sensaas-bioisosterecheminformatics · molecular-structures

    Shape-based alignments for identifying bioisosteric replacements or scaffold-hopping using SENSAAS

sources
  1. api.github.com/repos/santuchal/ADMET_calculations
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-08-27, 5 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/51.json→ .entries["admet-calculations"]

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