Towards development of new antimalarial compounds through in silico and in vitro assays

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-05-11 DOI:10.1016/j.compbiolchem.2024.108093
David Bacelar Costa Junior , Pedro Sousa Lacerda , Fernando de Pilla Varotti , Franco Henrique Andrade Leite
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Abstract

Malaria is one of most widespread infectious disease in world. The antimalarial therapy presents a series of limitations, such as toxicity and the emergence of resistance, which makes the search for new drugs urgent. Thus, it becomes necessary to explore essential and exclusive therapeutic targets of the parasite to achieve selective inhibition. Enoyl-ACP reductase is an enzyme of the type II fatty acid biosynthetic pathway and is responsible for the rate-limiting step in the fatty acid elongation cycle. In this work, we use hierarchical virtual screening and drug repositioning strategies to prioritize compounds for phenotypic assays and molecular dynamics studies. The molecules were tested against chloroquine-resistant W2 strain of Plasmodium falciparum (EC50 between 330.05 and 13.92 µM). Nitrofurantoin was the best antimalarial activity at low micromolar range (EC50 = 13.92 µM). However, a hit compound against malaria must have a biological activity value below 1 µM. A large number of molecules present problems with permeability in biological membranes and reaching an effective concentration in their target's microenvironment. Nitrofurantoin derivatives with inclusions of groups which confer increased lipid solubility (methyl groups, halogens and substituted and unsubstituted aromatic rings) have been proposed. These derivatives were pulled through the lipid bilayer in molecular dynamics simulations. Molecules 14, 18 and 21 presented lower free energy values than nitrofurantoin when crossing the lipid bilayer.

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通过硅学和体外试验开发新的抗疟化合物
疟疾是世界上最普遍的传染病之一。抗疟疾疗法存在一系列局限性,如毒性和抗药性的出现,因此迫切需要寻找新的药物。因此,有必要探索寄生虫的基本和专属治疗靶点,以实现选择性抑制。烯酰-ACP 还原酶是 II 型脂肪酸生物合成途径中的一种酶,负责脂肪酸延伸循环中的限速步骤。在这项工作中,我们采用分层虚拟筛选和药物重新定位策略,优先选择化合物进行表型测定和分子动力学研究。这些分子针对耐氯喹的恶性疟原虫 W2 株进行了测试(EC50 在 330.05 至 13.92 µM 之间)。硝基呋喃妥因在较低的微摩尔范围(EC50 = 13.92 µM)内具有最佳的抗疟活性。然而,抗疟药物的生物活性值必须低于 1 µM。许多分子在生物膜的渗透性和在目标微环境中达到有效浓度方面存在问题。有人提出了硝基呋喃妥因衍生物,其中含有可增加脂溶性的基团(甲基、卤素、取代和未取代的芳香环)。在分子动力学模拟中,这些衍生物穿过了脂质双分子层。分子 14、18 和 21 在穿过脂质双分子层时的自由能值低于硝基呋喃妥因。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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