Drug Design Strategies to Avoid Resistance in Direct-Acting Antivirals and Beyond
Author(s) -
Ashley N. Matthew,
Florian Leidner,
G.J. Lockbaum,
M. Henes,
Jacqueto Zephyr,
Shurong Hou,
Desaboini Nageswara Rao,
Jennifer Timm,
L.N. Rusere,
Debra A. Ragland,
Janet L. Paulsen,
Kristina Prachanronarong,
Djadé I. Soumana,
E.A. Nalivaika,
Neşe Kurt Yılmaz,
Akbar Ali,
Celia A. Schiffer
Publication year - 2021
Publication title -
chemical reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 20.528
H-Index - 700
eISSN - 1520-6890
pISSN - 0009-2665
DOI - 10.1021/acs.chemrev.0c00648
Subject(s) - drug resistance , drug , rational design , resistance (ecology) , human immunodeficiency virus (hiv) , antiviral drug , drug development , drug discovery , drug design , intensive care medicine , risk analysis (engineering) , computational biology , virology , medicine , pharmacology , biology , bioinformatics , ecology , genetics , microbiology and biotechnology
Drug resistance is prevalent across many diseases, rendering therapies ineffective with severe financial and health consequences. Rather than accepting resistance after the fact, proactive strategies need to be incorporated into the drug design and development process to minimize the impact of drug resistance. These strategies can be derived from our experience with viral disease targets where multiple generations of drugs had to be developed to combat resistance and avoid antiviral failure. Significant efforts including experimental and computational structural biology, medicinal chemistry, and machine learning have focused on understanding the mechanisms and structural basis of resistance against direct-acting antiviral (DAA) drugs. Integrated methods show promise for being predictive of resistance and potency. In this review, we give an overview of this research for human immunodeficiency virus type 1, hepatitis C virus, and influenza virus and the lessons learned from resistance mechanisms of DAAs. These lessons translate into rational strategies to avoid resistance in drug design, which can be generalized and applied beyond viral targets. While resistance may not be completely avoidable, rational drug design can and should incorporate strategies at the outset of drug development to decrease the prevalence of drug resistance.
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