Phenothiazine-based virtual screening, molecular docking, and molecular dynamics of new trypanothione reductase inhibitors of Trypanosoma cruzi.

IF 2.8 4区 医学 Q3 CHEMISTRY, MEDICINAL Molecular Informatics Pub Date : 2023-10-01 Epub Date: 2023-08-21 DOI:10.1002/minf.202300069
Gildardo Rivera, Alonzo González-González, Citlali Vázquez, Rusely Encalada, Emma Saavedra, Lenci K Vázquez-Jiménez, Eyra Ortiz-Pérez, Maria Bolognesi
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Abstract

Phenothiazine derivatives can unselectively inhibit the trypanothione-dependent antioxidant system enzyme trypanothione reductase (TR). A virtual screening of 2163 phenothiazine derivatives from the ZINC15 and PubChem databases docked on the active site of T. cruzi TR showed that 285 compounds have higher affinity than the natural ligand trypanothione disulfide. 244 compounds showed higher affinity toward the parasite's enzyme than to its human homolog glutathione reductase. Protein-ligand interaction profiling predicted that the main interactions for the top scored compounds were with residues important for trypanothione disulfide binding: Phe396, Pro398, Leu399, His461, Glu466, and Glu467, particularly His461, which participates in catalysis. Two compounds with the desired profiles, ZINC1033681 (Zn_C687) and ZINC10213096 (Zn_C216), decreased parasite growth by 20 % and 50 %, respectively. They behaved as mixed-type inhibitors of recombinant TR, with Ki values of 59 and 47 μM, respectively. This study provides a further understanding of the potential of phenothiazine derivatives as TR inhibitors.

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新锥虫锥硫酮还原酶抑制剂基于吩噻嗪的虚拟筛选、分子对接和分子动力学。
吩噻嗪衍生物可以选择性地抑制锥硫酮依赖性抗氧化系统酶锥硫酮还原酶(TR)。从ZINC15和PubChem数据库中对接在T.cruzi TR活性位点上的2163个吩噻嗪衍生物的虚拟筛选表明,285个化合物比天然配体锥虫硫酮二硫化物具有更高的亲和力。244种化合物对寄生虫的酶表现出比对其人类同源物谷胱甘肽还原酶更高的亲和力。蛋白质-配体相互作用谱预测,得分最高的化合物的主要相互作用是与对锥虫硫酮二硫键结合重要的残基:Phe396、Pro398、Leu399、His461、Glu466和Glu467,特别是参与催化的His461。两种具有所需特征的化合物,锌1033681(Zn_C687)和锌10213096(Zn_C216),使寄生虫生长减少了20 % 和50 %, 分别地它们表现为重组TR的混合型抑制剂,Ki值分别为59和47 μM。本研究进一步了解了吩噻嗪衍生物作为TR抑制剂的潜力。
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来源期刊
Molecular Informatics
Molecular Informatics CHEMISTRY, MEDICINAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.30
自引率
2.80%
发文量
70
审稿时长
3 months
期刊介绍: Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010. Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation. The journal''s scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.
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