A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity
Hongyao Zhu
; Pfizer Worldwide Research and Development, Groton, Connecticut, United States
Jacquelyn Klug-McLeod
; Pfizer Worldwide Research and Development, Groton, Connecticut, United States
Gregory A. Bakken
; Pfizer Worldwide Research and Development, Groton, Connecticut, United States
APA 6th Edition Zhu, H., Klug-McLeod, J. i Bakken, G.A. (2013). A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity. Croatica Chemica Acta, 86 (4), 435-441. https://doi.org/10.5562/cca2301
MLA 8th Edition Zhu, Hongyao, et al. "A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity." Croatica Chemica Acta, vol. 86, br. 4, 2013, str. 435-441. https://doi.org/10.5562/cca2301. Citirano 08.03.2021.
Chicago 17th Edition Zhu, Hongyao, Jacquelyn Klug-McLeod i Gregory A. Bakken. "A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity." Croatica Chemica Acta 86, br. 4 (2013): 435-441. https://doi.org/10.5562/cca2301
Harvard Zhu, H., Klug-McLeod, J., i Bakken, G.A. (2013). 'A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity', Croatica Chemica Acta, 86(4), str. 435-441. https://doi.org/10.5562/cca2301
Vancouver Zhu H, Klug-McLeod J, Bakken GA. A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity. Croatica Chemica Acta [Internet]. 2013 [pristupljeno 08.03.2021.];86(4):435-441. https://doi.org/10.5562/cca2301
IEEE H. Zhu, J. Klug-McLeod i G.A. Bakken, "A Heuristic Algorithm for Plate SelectionThat Maximizes Compound Diversity", Croatica Chemica Acta, vol.86, br. 4, str. 435-441, 2013. [Online]. https://doi.org/10.5562/cca2301
Sažetak A heuristic algorithm was developed to maximize compound diversity within a subset of screening
plates used in high throughput screening (HTS) to initiate the drug discovery process. The approach
overcame the challenge of combinatorial explosion for selecting plate subsets with maximum compound
diversity. The method yielded novel forms of plate-based diversity subsets (PBDS) for HTS screening in
lead discovery. The algorithm, its validation and the application to our screening collection are outlined.
(doi: 10.5562/cca2301)