An Evolutionary Model-Based Approach To Quantify the Genetic Barrier to Drug Resistance in Fast-Evolving Viruses and Its Application to HIV-1 Subtypes and Integrase Inhibitors

Author:

Theys Kristof1,Libin Pieter J. K.12,Van Laethem Kristel1,Abecasis Ana B.3

Affiliation:

1. Department of Microbiology and Immunology, Laboratory Clinical and Evolutionary Virology, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium

2. Artificial Intelligence Lab, Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium

3. Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal

Abstract

Viral pathogens causing global disease burdens are often characterized by high rates of evolutionary changes. The extensive viral diversity at baseline can shorten the time to escape from therapeutic or immune selective pressure and alter mutational pathways. The impact of genotypic background on the barrier to resistance can be difficult to capture, particularly for agents in experimental stages or that are recently approved or expanded into new patient populations.

Funder

Research Foundation Flanders

HIVERA

GHTM-UID

MigrantHIV

INTEGRIV

KU Leuven

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

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