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 | Zendy

Kristof Theys | Zendy; Pieter Libin | Zendy; Kristel Van Laethem | Zendy; Ana Abecasis | Zendy

Open Access

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(s) -

Kristof Theys,

Pieter Libin,

Kristel Van Laethem,

Ana Abecasis

Publication year - 2019

Publication title -

antimicrobial agents and chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.07

H-Index - 259

eISSN - 1070-6283

pISSN - 0066-4804

DOI - 10.1128/aac.00539-19

Subject(s) - integrase , viral evolution , drug resistance , biology , computational biology , drug , genotype , virology , human immunodeficiency virus (hiv) , integrase inhibitor , genetics , viral load , antiretroviral therapy , genome , gene , pharmacology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research