Literature DB >> 25482223

Advancing drug discovery: a pharmaceutics perspective.

Elizabeth Kwong1.   

Abstract

Current industry perspective of how discovery is conducted seems to be fragmented and does not have a unified overall outlook of how discovery challenges are being addressed. Consequently, well-defined processes and drug-likeness criteria are being viewed as "broken" and will not maintain future R&D productivity. In this commentary, an analysis of existing practices for defining successful development candidates resulted in a 5 "must do" list to help advance Drug Discovery as presented from a Pharmaceutics perspective. The 5 "must do" list includes: what an ideal discovery team model should look like, what criteria should be considered for the desired development candidate profile, what the building blocks of the development candidate should look like, and how to assess the development risks of the candidate.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  Drug Design; ADMET properties; MAD; developability risk assessment; drug-like properties; in-silico modeling; in-vitro models;target therapeutic profile (TPP); operating models in discovery; physicochemical properties; rule of five

Mesh:

Substances:

Year:  2014        PMID: 25482223     DOI: 10.1002/jps.24294

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  The Evolving Druggability and Developability Space: Chemically Modified New Modalities and Emerging Small Molecules.

Authors:  Wenzhan Yang; Prajakta Gadgil; Venkata R Krishnamurthy; Margaret Landis; Pankajini Mallick; Dipal Patel; Phenil J Patel; Darren L Reid; Manuel Sanchez-Felix
Journal:  AAPS J       Date:  2020-01-03       Impact factor: 4.009

2.  Reformulating Tylocrebrine in Epidermal Growth Factor Receptor Targeted Polymeric Nanoparticles Improves Its Therapeutic Index.

Authors:  Ameya R Kirtane; Henry L Wong; Bharath Raja Guru; Lev G Lis; Gunda I Georg; Vadim J Gurvich; Jayanth Panyam
Journal:  Mol Pharm       Date:  2015-07-03       Impact factor: 4.939

3.  Plate-based diversity subset screening generation 2: an improved paradigm for high-throughput screening of large compound files.

Authors:  Andrew S Bell; Joseph Bradley; Jeremy R Everett; Jens Loesel; David McLoughlin; James Mills; Marie-Claire Peakman; Robert E Sharp; Christine Williams; Hongyao Zhu
Journal:  Mol Divers       Date:  2016-09-08       Impact factor: 2.943

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.