Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases
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Abstract
To enable the establishment of a drug discovery operation for neglected diseases, out of 2.3 million commercially available compounds 222 552 compounds were selected for an in silico library, 57 438 for a diverse general screening library, and 1 697 compounds for a focused kinase set. Compiling these libraries required a robust strategy for compound selection. Rules for unwanted groups were defined and selection criteria to enrich for lead-like compounds which facilitate straightforward structure-activity relationship exploration were established. Further, a literature and patent review was undertaken to extract key recognition elements of kinase inhibitors ("core fragments") to assemble a focused library for…
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Topics
Keywords
- Drug discovery
- In silico
- Selection (genetic algorithm)
- Virtual screening
- Computer science
- Computational biology
- Chemical space
- Chemical library
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