Journal article
The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens
BIOINFORMATICS, Vol.31(9), pp.1515-1518
05/01/2015
DOI: 10.1093/bioinformatics/btu831
PMCID: PMC4410654
PMID: 25540182
Abstract
A Summary: Neglected tropical diseases (NTDs) caused by helminths constitute some of the most common infections of the world's poorest people. The etiological agents are complex and recalcitrant to standard techniques of molecular biology. Drug screening against helminths has often been phenotypic and typically involves manual description of drug effect and efficacy. A key challenge is to develop automated, quantitative approaches to drug screening against helminth diseases. The quantal dose-response calculator (QDREC) constitutes a significant step in this direction. It can be used to automatically determine quantitative dose-response characteristics and half-maximal effective concentration (EC50) values using image-based readouts from phenotypic screens, thereby allowing rigorous comparisons of the efficacies of drug compounds. QDREC has been developed and validated in the context of drug screening for schistosomiasis, one of the most important NTDs. However, it is equally applicable to general phenotypic screening involving helminths and other complex parasites.
Details
- Title: Subtitle
- The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens
- Creators
- Daniel Asarnow - San Francisco State UniversityLiliana Rojo-Arreola - San Francisco State UniversityBrian M. Suzuki - University of California, San FranciscoConor R. Caffrey - San Francisco State UniversityRahul Singh - San Francisco State University
- Resource Type
- Journal article
- Publication Details
- BIOINFORMATICS, Vol.31(9), pp.1515-1518
- Publisher
- Oxford Univ Press
- DOI
- 10.1093/bioinformatics/btu831
- PMID
- 25540182
- PMCID
- PMC4410654
- ISSN
- 1367-4803
- eISSN
- 1460-2059
- Number of pages
- 4
- Grant note
- R21AI107390 / NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID) 1R01AI089896; R21AI107390 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA IIS-0644418 / National Science Foundation; National Science Foundation (NSF) UC MEXUS-CONACYT Postdoctoral Research Fellowship
- Language
- English
- Date published
- 05/01/2015
- Academic Unit
- Computer Science
- Record Identifier
- 9984446543402771
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