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High-Throughput Screening Assay Profiling for Large Chemical Databases.

Daniel P Russo1,2, Hao Zhu3,4

  • 1Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.

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|March 16, 2022
PubMed
Summary
This summary is machine-generated.

High-throughput screening (HTS) data from PubChem is valuable for toxicology. This study presents two methods to efficiently download large HTS datasets for informatics analysis.

Keywords:
Biological dataCIIProIn vitro profilingPubChem

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Area of Science:

  • Toxicology
  • cheminformatics
  • computational toxicology

Background:

  • High-throughput screening (HTS) generates vast amounts of chemical assay data.
  • PubChem is a public repository for HTS data, crucial for understanding chemical interactions and toxicity mechanisms.
  • Accessing large HTS datasets from PubChem for analysis is challenging via the web portal.

Purpose of the Study:

  • To introduce practical methods for obtaining large-scale HTS assay results from PubChem.
  • To facilitate toxicological research and informatics analysis using PubChem data.

Main Methods:

  • Programmatic access using PubChem's PUG-REST web service with Python.
  • Utilizing the Chemical In vitro-In vivo Profiling (CIIPro) portal for non-programmers.

Main Results:

  • Demonstration of two distinct approaches for bulk data retrieval from PubChem.
  • Enabling efficient data acquisition for large chemical sets.

Conclusions:

  • Both programmatic and user-friendly portal methods facilitate access to large PubChem HTS datasets.
  • These methods support advanced toxicological modeling and analysis.