Literature DB >> 20456372

Structure-activity relationships (SAR) research of thiourea derivatives as dual inhibitors targeting both HIV-1 capsid and human cyclophilin A.

Kan Chen1, Zhiwu Tan, Meizi He, Jiebo Li, Shixing Tang, Indira Hewlett, Fei Yu, Yinxue Jin, Ming Yang.   

Abstract

HIV-1 capsid (CA) and human cyclophilin A (CypA) play important roles in HIV-1 assembly and disassembly processes, which are critical in HIV-1 replication. Based on the discovery of thiourea derivatives targeting both of the two proteins and indicating effective inhibitory activities in our group, we designed and synthesized a new class of thiourea derivatives. Their abilities to bind to capsid and cyclophilin A were determined by ultraviolet spectroscopic analysis, fluorescence binding affinity, and PPIase inhibition assay. Furthermore, the newly synthesized compounds were tested for their antiviral activities and cytotoxicities using CEM cells. According to the biological evaluation and subsequent molecular docking analyses, we studied the structure-activity relationships of thiourea derivatives. Three optimal compounds (K17, K24, K25) based on the achieved structure-activity relationships would be the basis for future optimization.

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Year:  2010        PMID: 20456372     DOI: 10.1111/j.1747-0285.2010.00981.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  3 in total

1.  Identification of a small molecule HIV-1 inhibitor that targets the capsid hexamer.

Authors:  Jimmy P Xu; Jeffrey D Branson; Rae Lawrence; Simon Cocklin
Journal:  Bioorg Med Chem Lett       Date:  2015-12-25       Impact factor: 2.823

2.  Synthesis of New Thiourea-Metal Complexes with Promising Anticancer Properties.

Authors:  Guillermo Canudo-Barreras; Lourdes Ortego; Anabel Izaga; Isabel Marzo; Raquel P Herrera; M Concepción Gimeno
Journal:  Molecules       Date:  2021-11-16       Impact factor: 4.411

3.  Discovery of novel low-molecular-weight HIV-1 inhibitors interacting with cyclophilin A using in silico screening and biological evaluations.

Authors:  Yu-Shi Tian; Chris Verathamjamras; Norihito Kawashita; Kousuke Okamoto; Teruo Yasunaga; Kazuyoshi Ikuta; Masanori Kameoka; Tatsuya Takagi
Journal:  J Mol Model       Date:  2012-09-05       Impact factor: 1.810

  3 in total

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