Matches in SemOpenAlex for { <https://semopenalex.org/work/W103553032> ?p ?o ?g. }
- W103553032 abstract "Determination of optimal pharmacokinetics is an important component of modern drug discovery and development. One area of focus has been the prediction of drug absorption, because early bioavailability assessment has become a rate-limiting step in lead optimization and, ultimately, in the decision to promote candidates to clinical trials. High quality and higher throughput models that minimize traditional ‘wet-lab’ experiments are needed in order to cut the costs and increase the efficiency of drug discovery and development. On one end of the spectrum are resource intensive and costly in vivo tools that give information rich data; on the other end are the relatively new in silico tools of absorption, distribution, metabolism, and excretion (ADME) prediction from structure that lack critical components present in the in vivo data. Physiologically-based in silico ADME prediction approaches are more comprehensive and robust than structure correlative approaches. However, they have only recently become available, and their development and validation require a large effort that is typically beyond the reach of most biotech and pharmaceutical companies. The past decade has seen numerous developments in the field of in silico ADME prediction, and the entire process of drug discovery and development can benefit from the new generation in silico research tools. There are several tools commercially available today that meet the various needs of the industry." @default.
- W103553032 created "2016-06-24" @default.
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- W103553032 date "2003-01-01" @default.
- W103553032 modified "2023-09-26" @default.
- W103553032 title "In Silico Tools for Drug Absorption Prediction" @default.
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- W103553032 doi "https://doi.org/10.2165/00137696-200301020-00005" @default.
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