Literature DB >> 16787349

Identification and evaluation of molecular properties related to preclinical optimization and clinical fate.

James F Blake1.   

Abstract

The economic case for fundamental changes that are required to ensure long term viability of the pharmaceutical industry demands a close look at which compounds are advanced into clinical development. This perspective will cover recent efforts that have had the greatest influence on defining the optimal range of physical properties of compounds that are intended to act as human therapeutic agents. Our focus will be on models and properties that are most amenable to change via synthetic design, are potentially fixable in the lead optimization process, and have the greatest impact on overall attrition in clinical development. In particular, we will examine the optimal physicochemical properties for oral absorption based on solubility, permeability, and a few easily computed parameters. Additionally, the fate of compounds that have entered clinical trials provides a compelling case for adhering to the defined properties ranges. Finally, emerging data suggests that there has been a shift in the leading causes of compound attrition, and attention should now be focused on building toxicological models to guide drug discovery efforts.

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Year:  2005        PMID: 16787349     DOI: 10.2174/157340605774598081

Source DB:  PubMed          Journal:  Med Chem        ISSN: 1573-4064            Impact factor:   2.745


  8 in total

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Review 2.  Evaluating and evolving a screening library in academia: the St Jude approach.

Authors:  Gisele Nishiguchi; Sourav Das; Jason Ochoada; Heather Long; Richard E Lee; Zoran Rankovic; Anang A Shelat
Journal:  Drug Discov Today       Date:  2021-01-14       Impact factor: 7.851

3.  The ChEMBL database in 2017.

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Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

4.  Constrained Bayesian optimization for automatic chemical design using variational autoencoders.

Authors:  Ryan-Rhys Griffiths; José Miguel Hernández-Lobato
Journal:  Chem Sci       Date:  2019-11-18       Impact factor: 9.825

Review 5.  Towards reproducible computational drug discovery.

Authors:  Nalini Schaduangrat; Samuel Lampa; Saw Simeon; Matthew Paul Gleeson; Ola Spjuth; Chanin Nantasenamat
Journal:  J Cheminform       Date:  2020-01-28       Impact factor: 5.514

6.  Designing of inhibitors against drug tolerant Mycobacterium tuberculosis (H37Rv).

Authors:  Deepak Singla; Rupinder Tewari; Ashwani Kumar; Gajendra Ps Raghava
Journal:  Chem Cent J       Date:  2013-03-08       Impact factor: 4.215

7.  Multivariate PLS Modeling of Apicomplexan FabD-Ligand Interaction Space for Mapping Target-Specific Chemical Space and Pharmacophore Fingerprints.

Authors:  Ashalatha Sreshty Mamidi; Prerna Arora; Avadhesha Surolia
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

8.  SMARTS.plus - A Toolbox for Chemical Pattern Design.

Authors:  Christiane Ehrt; Bennet Krause; Robert Schmidt; Emanuel S R Ehmki; Matthias Rarey
Journal:  Mol Inform       Date:  2020-10-08       Impact factor: 3.353

  8 in total

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