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