2005
DOI: 10.1021/ci0502808
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Novel Statistical Approach for Primary High-Throughput Screening Hit Selection

Abstract: The standard activity threshold-based method (the "top X" approach), currently widely used in the high-throughput screening (HTS) data analysis, is ineffective at identifying good-quality hits. We have proposed a novel knowledge-based statistical approach, driven by the hidden structure-activity relationship (SAR) within a screening library, for primary hit selection. Application to an in-house ultrahigh-throughput screening (uHTS) campaign has demonstrated it can directly identify active scaffolds containing … Show more

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Cited by 35 publications
(44 citation statements)
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“…Chemical scaffold analysis based on chemical fingerprint similarities (13) revealed that the library of 5697 compounds comprised of 2715 independent chemical scaffold clusters, some of which were unique to this library and some of which were also hits in independent screens (Fig. S2).…”
Section: A Majority Of Compounds Active Against Blood Stages Is Inactmentioning
confidence: 99%
See 1 more Smart Citation
“…Chemical scaffold analysis based on chemical fingerprint similarities (13) revealed that the library of 5697 compounds comprised of 2715 independent chemical scaffold clusters, some of which were unique to this library and some of which were also hits in independent screens (Fig. S2).…”
Section: A Majority Of Compounds Active Against Blood Stages Is Inactmentioning
confidence: 99%
“…Such filtering still gives more leads than can be reasonably investigated, but the advantage of completing such a large screen of putative antimalarials is that it allows for a system-wide analysis of the data by exploring structure-activity relationships (SAR) within the compound library. SARs are more important than absolute potency because they indicate a chemical space that can be optimized to compounds with the desired potency (13). …”
Section: Scaffold Clusteringmentioning
confidence: 99%
“…To assess the utility of the screen in terms of novel structural motifs, confirmed HTS hits were first clustered based on the chemical similarity (20), resulting in the identification of Ϸ530 different classes (cluster size Ն3) with a similarity metric of 0.85 or higher. The distribution of different scaffolds is shown in Fig.…”
Section: ϫ10mentioning
confidence: 99%
“…If gene set can be defined reliably from prior biological knowledge, GSEA can be powerful in enhancing the signal-to-noise ratio and make it possible to detect modest changes in individual genes that would be hard to detect in single gene analysis. Yan et al (2005) and Zhou et al (2005) have also proposed similar approaches, called ontology-based pattern identification (OPI) score, to improve screening results by incorporating both the activity ranking and the number of structurally/functionally related genes. A deterministic threshold widely used and preferred by many biologists is fold change (FC).…”
Section: Target Discoverymentioning
confidence: 99%