Comparison of feline and human immunodeficiency virus reverse transcriptase enzymes through chemical screening and computational analysis

Author:

Thammajong Phanicha1,Aiebchun Thitinan2,Boonyarattanakalin Kanokthip3,Gleeson Duangkamol4,Pobsuk Nattakarn5,Hannongbua Supa5,Choowongkomon Kiattawee2ORCID,Gleeson M. Paul1ORCID

Affiliation:

1. Department of Biomedical Engineering, School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

2. Department of Biochemistry, Faculty of Science Kasetsart University Bangkok Thailand

3. College of Materials Innovation and Technology King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

4. Department of Chemistry & Applied Computational Chemistry Research Unit, School of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

5. Department of Chemistry, Faculty of Science Kasetsart University Bangkok Thailand

Abstract

AbstractFeline immunodeficiency virus (FIV) is a common infection found in domesticated and wild cats worldwide. Despite the wealth of therapeutic understanding of the disease in humans, considerably less information exists regarding the treatment of the disease in felines. Current treatment relies on drugs developed for the related human immunodeficiency virus (HIV) and includes compounds of the popular non‐nucleotide reverse transcriptase (NNRTI) class. This is despite FIV‐RT being only 67% similar to HIV‐1 RT at the enzyme level, increasing to 88% for the allosteric pocket targeted by NNRTIs. The goal of this project was to try to quantify how well the more extensive pharmacological knowledge available for human disease translates to felines. To this end we screened known NNRTIs and 10 diverse pyrimidine analogs identified virtually. We use this chemo‐centric probe approach to (a) assess the similarity between the two related RT targets based on the observed experimental inhibition values, (b) try to identify more potent inhibitors at FIV, and (c) gain a better appreciation of the structure–activity relationships (SAR). We found the correlation between IC50s at the two targets to be strong (r2 = 0.87) and identified compound 1 as the most potent inhibitor of FIV with IC50 of 0.030 μM ± 0.009. This compared to FIV IC50 values of 0.22 ± 0.17 μM, 0.040 ± 0.010 μM and >160 μM for known anti HIV‐1 RT drugs Efavirenz, Rilpivirine, and Nevirapine, respectively. This knowledge, along with an understanding of the structural origin that give rise to any differences could improve the way HIV drugs are repurposed for FIV.

Funder

National Research Council of Thailand

Publisher

Wiley

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