@article{IsaacsMikasiObasaetal.2020, author = {Isaacs, Darren and Mikasi, Sello Given and Obasa, Adetayo Emmanuel and Ikomey, George Mondinde and Shityakov, Sergey and Cloete, Ruben and Jacobs, Graeme Brendon}, title = {Structural comparison of diverse HIV-1 subtypes using molecular modelling and docking analyses of integrase inhibitors}, series = {Viruses}, volume = {12}, journal = {Viruses}, number = {9}, issn = {1999-4915}, doi = {10.3390/v12090936}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211170}, year = {2020}, abstract = {The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-na{\"i}ve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.}, language = {en} }