bioassayR

bioassayR analyzes large-scale bioassay datasets to evaluate compound–target interactions and generate high-throughput screening fingerprints for cross-target bioactivity analysis.


Key Features:

  • Large-Scale Bioassay Analysis: Enables simultaneous analysis of thousands of bioassay experiments involving multiple compounds and biological targets.
  • Cross-Target Bioactivity Evaluation: Supports comparative analysis across public and custom bioassays to assess compound selectivity and target druggability.
  • High-Throughput Screening Fingerprints (HTSFPs): Generates HTSFP representations to summarize high-throughput screening data for efficient comparison across assays.
  • Integrated Bioactivity Data Resources: Provides optional access to a preloaded database containing publicly available bioactivity screening data.

Scientific Applications:

  • Drug Discovery Screening Analysis: Identifies compounds with favorable selectivity profiles across multiple biological targets.
  • Target Druggability Assessment: Evaluates biological targets using aggregated bioactivity screening datasets.
  • Bioactivity Data Mining: Supports comparative and meta-analysis of high-throughput screening experiments.

Methodology:

bioassayR processes large-scale bioassay datasets to compute cross-target bioactivity analyses and generate high-throughput screening fingerprints representing compound responses across multiple assays.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/13/2019

Operations

Publications

Backman TWH, Girke T. bioassayR: Cross-Target Analysis of Small Molecule Bioactivity. Journal of Chemical Information and Modeling. 2016;56(7):1237-1242. doi:10.1021/acs.jcim.6b00109. PMID:27367556. PMCID:PMC5330305.

PMID: 27367556
PMCID: PMC5330305
Funding: - Division of Biological Infrastructure: ABI-0957099 - National Institute on Aging: U24AG051129

Documentation

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