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Liliana Rojo-Arreola

dblp:162/0482 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-4163-0506ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biostatistics
dose-response analysis
0.212015
The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens · Bioinform. 2015
Bioinformatics and computational biology › drug discovery
drug screening
0.212015
The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

quantal dose-response modeling · 0.2image-based readout analysis · 0.2
YearPublicationVenuePosition
2015 The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens
abstract
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. AVAILABILITY AND IMPLEMENTATION: QDREC is publically available at: http://haddock4.sfsu.edu/qdrec2/. Source code and datasets are at: http://tintin.sfsu.edu/projects/phenotypicAssays.html. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Daniel Asarnow, Liliana Rojo-Arreola, Brian M. Suzuki, Conor R. Caffrey
Bioinform.2