2012
DOI: 10.1016/j.bmc.2012.04.062
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Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series

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Cited by 67 publications
(37 citation statements)
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“…Advances in robotic automation and liquid handling, coupled with the ever-shrinking scale at which these assays are performed have facilitated the ultra high throughput screening (HTS) of very large compound libraries [11]. Furthermore, the continued development of cheminformatics, which encompasses the ability to analyze, filter, and interpret the large datasets generated from these screens, has greatly contributed to the establishment of HTS technology as a staple in the drug discovery process [12]. The pharmaceutical industry has relied on two different methods of HTS.…”
Section: Identifying New Drug Candidatesmentioning
confidence: 99%
“…Advances in robotic automation and liquid handling, coupled with the ever-shrinking scale at which these assays are performed have facilitated the ultra high throughput screening (HTS) of very large compound libraries [11]. Furthermore, the continued development of cheminformatics, which encompasses the ability to analyze, filter, and interpret the large datasets generated from these screens, has greatly contributed to the establishment of HTS technology as a staple in the drug discovery process [12]. The pharmaceutical industry has relied on two different methods of HTS.…”
Section: Identifying New Drug Candidatesmentioning
confidence: 99%
“…Another approach used by pharmaceutical companies early in drug discovery is high throughput screening (HTS) [61,62]. This strategy leverages mechanical automation to quickly assay the biological or biochemical activity of a large number of drug-like compounds simultaneously under controlled experimental conditions.…”
Section: Novel Strategies For Drug Discovery In Pahmentioning
confidence: 99%
“…1 The drug discovery and development pathway from a novel drug target to a Food and Drug Administration (FDA) approved drug and to the marketing of a novel molecular entity is long and expensive, which prompts new pharmaceutical companies and laboratories to benefit from the usage of computational methods. 2,3 Computational methods now play an integral role in understanding intermolecular interactions and although algorithms are based on approximations and assumptions, molecular modeling has become the leading tool in modern drug discovery. 4,5 The ability of specialized virtual screening algorithms to filter molecular libraries into a manageable number of compounds for biological assays is the driving force for finding novel ligands.…”
Section: Introductionmentioning
confidence: 99%