Improved Screening Strategies Help Advance Pharmaceutical Discovery
This is an example of a drug development paradigm incorporating multi-step screening and showing relationships between data that can be integrated to combine complimentary data sets that provide a more complete picture of drug-related effects. Credit: Van Vleet et al. (AbbVie, Chicago, IL USA)
A new review in SLAS Discovery explores how improved safety screening strategies and methods are improving the pharmaceutical discovery and development process. Terry R. Van Vleet et al. of AbbVie (Chicago, IL USA) outline several fundamental methods of the current drug screening processes and emerging techniques and technologies that promise to improve molecule selection. In addition, the authors discuss integrated screening strategies and provide examples of advanced screening paradigms.
Pharmaceutical discovery and development is a long and expensive process that, unfortunately, still results in a low success rate, with drug safety continuing to be a major impedance. Improved safety screening strategies and methods are needed to more effectively fill this critical gap. Recent advances in informatics are now making it possible to manage bigger data sets and integrate multiple sources of screening data in a manner that can potentially improve the selection of higher-quality drug candidates. Integrated screening paradigms have become the norm in pharma, both in discovery screening and in the identification of off-target toxicity mechanisms during later-stage development. Furthermore, advances in computational methods are making in silico screens more relevant and suggest that they may represent a feasible option for augmenting the current screening paradigm.
This article has been republished from materials provided by SLAS. Note: material may have been edited for length and content. For further information, please contact the cited source.
Terry R. Van Vleet, Michael J. Liguori, James J. Lynch, III, Mohan Rao, Scott Warder. Screening Strategies and Methods for Better Off-Target Liability Prediction and Identification of Small-Molecule Pharmaceuticals. (2018) doi.org/10.1177/2472555218799713
Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study published in Nature Machine Intelligence has found. Researchers found that contrary to conventional wisdom, there can be no exact method for deciding whether a given problem may be successfully solved by machine learning tools.READ MORE
The ideal drug is one that only affects the exact cells and neurons it is designed to treat, without unwanted side effects. This concept is especially important when treating the delicate and complex human brain. Now, scientists have revealed a mechanism that could lead to this kind of long-sought specificity for treatments of strokes and seizures.READ MORE