Literature DB >> 24001234

Inhibitors of HIV-protease from computational design. A history of theory and synthesis still to be fully appreciated.

Federico Berti, Vladimir Frecer, Stanislav Miertus1.   

Abstract

Despite the fact that HIV-Protease is an over 20 years old target, computational approaches to rational design of its inhibitors still have a great potential to stimulate the synthesis of new compounds and the discovery of new, potent derivatives, ever capable to overcome the problem of drug resistance. This review deals with successful examples of inhibitors identified by computational approaches, rather than by knowledge-based design. Such methodologies include the development of energy and scoring functions, docking protocols, statistical models, virtual combinatorial chemistry. Computations addressing drug resistance, and the development of related models as the substrate envelope hypothesis are also reviewed. In some cases, the identified structures required the development of synthetic approaches in order to obtain the desired target molecules; several examples are reported.

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Year:  2014        PMID: 24001234     DOI: 10.2174/13816128113199990628

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  1 in total

1.  Discovery of MK-8718, an HIV Protease Inhibitor Containing a Novel Morpholine Aspartate Binding Group.

Authors:  Christopher J Bungard; Peter D Williams; Jeanine E Ballard; David J Bennett; Christian Beaulieu; Carolyn Bahnck-Teets; Steve S Carroll; Ronald K Chang; David C Dubost; John F Fay; Tracy L Diamond; Thomas J Greshock; Li Hao; M Katharine Holloway; Peter J Felock; Jennifer J Gesell; Hua-Poo Su; Jesse J Manikowski; Daniel J McKay; Mike Miller; Xu Min; Carmela Molinaro; Oscar M Moradei; Philippe G Nantermet; Christian Nadeau; Rosa I Sanchez; Tummanapalli Satyanarayana; William D Shipe; Sanjay K Singh; Vouy Linh Truong; Sivalenka Vijayasaradhi; Catherine M Wiscount; Joseph P Vacca; Sheldon N Crane; John A McCauley
Journal:  ACS Med Chem Lett       Date:  2016-05-09       Impact factor: 4.345

  1 in total

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