Curating and preparing high-throughput screening data for quantitative structure-activity relationship modeling

Marlene T. Kim, Wenyi Wang, Alexander Sedykh, Hao Zhu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Publicly available bioassay data often contains errors. Curating massive bioassay data, especially highthroughput screening (HTS) data, for Quantitative Structure-Activity Relationship (QSAR) modeling requires the assistance of automated data curation tools. Using automated data curation tools are beneficial to users, especially ones without prior computer skills, because many platforms have been developed and optimized based on standardized requirements. As a result, the users do not need to extensively configure the curation tool prior to the application procedure. In this chapter, a freely available automatic tool to curate and prepare HTS data for QSAR modeling purposes will be described.

Original languageEnglish (US)
Pages (from-to)161-172
Number of pages12
JournalMethods in Molecular Biology
Volume1473
DOIs
StatePublished - Jan 1 2016

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Quantitative Structure-Activity Relationship
Biological Assay
Data Curation

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

Cite this

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Curating and preparing high-throughput screening data for quantitative structure-activity relationship modeling. / Kim, Marlene T.; Wang, Wenyi; Sedykh, Alexander; Zhu, Hao.

In: Methods in Molecular Biology, Vol. 1473, 01.01.2016, p. 161-172.

Research output: Contribution to journalArticle

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