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QSPRpred

imported

therapeutics/qsprpred

A tool for creating Quantitative Structure Property/Activity Relationship (QSPR/QSAR) models.

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

QSPRpred project image
GitHub preview card for CDDLeiden/QSPRpred. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
CDDLeiden
Country
unknown
Documentation
unknown
Tags
cheminformatics · drug-discovery · machine-learning · qsar · qspr
Regulatory
unknown
built by · 6

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.

  • molbokehcheminformatics · qsar · qspr

    A new python package to visualize molecules in dots hover

  • pyCheckmolcheminformatics · qsar · qspr

    Application for detecting functional groups of a molecules.

  • SpectraFPcheminformatics · qsar · qspr

    A package to perform fingerprints from spectroscopy datas.

  • logD_predictorcheminformatics · drug-discovery · qspr

    Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.

  • ALKYLcheminformatics · drug-discovery · qsar

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • clampcheminformatics · drug-discovery · qsar

    Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

sources
  1. api.github.com/repos/CDDLeiden/QSPRpred
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-26, 92 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/36.json→ .entries["qsprpred"]

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