Docking-based 3D-QSAR and pharmacophore studies on diarylpyrimidines as non-nucleoside inhibitors of HIV-1 reverse transcriptase. 2019

Genyan Liu, and Youlan Wan, and Wenjie Wang, and Sai Fang, and Shuangxi Gu, and Xiulian Ju
Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, People's Republic of China. liugenyan@yahoo.com.

Diarylpyrimidines (DAPYs), a type of effective HIV-1 non-nucleoside reverse transcriptase inhibitors (NNRTIs), have been considered as one of the most successful agents for treating AIDS. A number of structurally diverse DAPYs have been designed and synthesized in the past decade, and most of them exhibited potent anti-HIV-1 activities; however, the structure-activity relationships of recently reported DAPYs and their pharmacophore features that interacted with HIV-1 reverse transcriptase (RT) remain to be studied. In the present study, molecular docking studies were first performed on three novel classes of DAPYs to study their binding pattern in the HIV-1 RT. Based on the docking conformations of these DAPYs, 3D-QSAR models were constructed using CoMSIA and Topomer CoMFA methods, and pharmacophore models were also built using distance comparison technique. All selected DAPYs presented preferred U- or L-shaped conformations while being docked into the non-nucleoside inhibitor-binding pocket of the HIV-1 RT. The best CoMSIA model exhibited powerful predictivity, with satisfactory statistical parameters such as a q2 of 0.572, an r2 of 0.952, and an [Formula: see text] of 0.728. Contour maps of the best CoMSIA model were in accordance with those of the Topomer CoMFA model, giving the insight into the feature requirements of DAPYs for the anti-HIV-1 activity. Three potential pharmacophore models were constructed, and each of them was consisted of five hypothesis features. All results suggested that the aromatic ring on the left wing of DAPYs and the central pyrimidine ring contained key pharmacophore features for the anti-HIV-1 activity, and also indicated that the right wing of DAPYs had potential for further structural modification to improve activity. Eight novel DAPY molecules with potential anti-HIV-1 activities were designed on the basis of the obtained results. The findings in this study might provide important information for further design and development of novel HIV-1 NNRTIs.

UI MeSH Term Description Entries
D008958 Models, Molecular Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures. Molecular Models,Model, Molecular,Molecular Model
D011743 Pyrimidines A family of 6-membered heterocyclic compounds occurring in nature in a wide variety of forms. They include several nucleic acid constituents (CYTOSINE; THYMINE; and URACIL) and form the basic structure of the barbiturates.
D018894 Reverse Transcriptase Inhibitors Inhibitors of reverse transcriptase (RNA-DIRECTED DNA POLYMERASE), an enzyme that synthesizes DNA on an RNA template. Reverse Transcriptase Inhibitor,Inhibitors, Reverse Transcriptase,Inhibitor, Reverse Transcriptase,Transcriptase Inhibitor, Reverse
D019380 Anti-HIV Agents Agents used to treat AIDS and/or stop the spread of the HIV infection. These do not include drugs used to treat symptoms or opportunistic infections associated with AIDS. AIDS Drug,AIDS Drugs,Anti-AIDS Agents,Anti-AIDS Drug,Anti-HIV Agent,Anti-HIV Drug,Anti-AIDS Drugs,Anti-HIV Drugs,Agent, Anti-HIV,Agents, Anti-AIDS,Agents, Anti-HIV,Anti AIDS Agents,Anti AIDS Drug,Anti AIDS Drugs,Anti HIV Agent,Anti HIV Agents,Anti HIV Drug,Anti HIV Drugs,Drug, AIDS,Drug, Anti-AIDS,Drug, Anti-HIV,Drugs, AIDS,Drugs, Anti-AIDS,Drugs, Anti-HIV
D021281 Quantitative Structure-Activity Relationship A quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule. It is based upon structure and activity information gathered from a series of similar compounds. Structure Activity Relationship, Quantitative,3D-QSAR,QSAR,QSPR Modeling,Quantitative Structure Property Relationship,3D QSAR,3D-QSARs,Modeling, QSPR,Quantitative Structure Activity Relationship,Quantitative Structure-Activity Relationships,Relationship, Quantitative Structure-Activity,Relationships, Quantitative Structure-Activity,Structure-Activity Relationship, Quantitative,Structure-Activity Relationships, Quantitative

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