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利用虚拟筛选和分子动力学模拟从天然来源中鉴定新型 -Kit 抑制剂。

Identification of novel -Kit inhibitors from natural sources using virtual screening and molecular dynamics simulations.

机构信息

Department of Clinical Laboratory Science, College of Applied Sciences-Qurayyat, Jouf University, Sakakah, Saudi Arabia.

Health Sciences Research Unit, Jouf University, Sakakah, Saudi Arabia.

出版信息

J Biomol Struct Dyn. 2024 Jul;42(11):5982-5994. doi: 10.1080/07391102.2023.2231547. Epub 2023 Jul 4.

Abstract

The Mast/Stem cell growth factor receptor Kit (c-Kit), a Proto-oncogene c-Kit, is a tyrosine-protein kinase involved in cell differentiation, proliferation, migration, and survival. Its role in developing certain cancers, particularly gastrointestinal stromal tumors (GISTs) and acute myeloid leukemia (AML), makes it an attractive therapeutic target. Several small molecule inhibitors targeting c-Kit have been developed and approved for clinical use. Recent studies have focused on identifying and optimizing natural compounds as c-Kit inhibitors employing virtual screening. Still, drug resistance, off-target side effects, and variability in patient response remain significant challenges. From this perspective, phytochemicals could be an important resource for discovering novel c-Kit inhibitors with less toxicity, improved efficacy, and high specificity. This study aimed to uncover possible c-Kit inhibitors by utilizing a structure-based virtual screening of active phytoconstituents from Indian medicinal plants. Through the screening stages, two promising candidates, Anilinonaphthalene and Licoflavonol, were chosen based on their drug-like features and ability to bind to c-Kit. These chosen candidates were subjected to all-atom molecular dynamics (MD) simulations to evaluate their stability and interaction with c-Kit. The selected compounds Anilinonaphthalene from and Licoflavonol from showed their potential to act as selective binding partners of c-Kit. Our results suggest that the identified phytoconstituents could serve as a starting point to develop novel c-Kit inhibitors for developing new and effective therapies against multiple cancers, including GISTs and AML. The use of virtual screening and MD simulations provides a rational approach to discovering potential drug candidates from natural sources.Communicated by Ramaswamy H. Sarma.

摘要

Mast/Stem 细胞生长因子受体 Kit(c-Kit),一种原癌基因 c-Kit,是一种参与细胞分化、增殖、迁移和存活的酪氨酸蛋白激酶。它在某些癌症(特别是胃肠道间质瘤[GIST]和急性髓系白血病[AML])的发展中起着重要作用,使其成为一个有吸引力的治疗靶点。已经开发出几种针对 c-Kit 的小分子抑制剂,并已获得临床批准。最近的研究集中在使用虚拟筛选来识别和优化作为 c-Kit 抑制剂的天然化合物。然而,耐药性、脱靶副作用和患者反应的可变性仍然是重大挑战。从这个角度来看,植物化学物质可能是发现具有更低毒性、更高疗效和更高特异性的新型 c-Kit 抑制剂的重要资源。本研究旨在通过对印度药用植物中具有活性的植物化学成分进行基于结构的虚拟筛选,发现可能的 c-Kit 抑制剂。通过筛选阶段,根据其类药性和与 c-Kit 结合的能力,选择了两种有前途的候选物,即 Anilinonaphthalene 和 Licoflavonol。这些选定的候选物进行了全原子分子动力学(MD)模拟,以评估它们与 c-Kit 的稳定性和相互作用。从 中选择的候选化合物 Anilinonaphthalene 和从 中选择的 Licoflavonol 显示出它们作为 c-Kit 选择性结合伴侣的潜力。我们的结果表明,鉴定出的植物成分可以作为开发新型 c-Kit 抑制剂的起点,以开发针对多种癌症(包括 GIST 和 AML)的新的有效治疗方法。虚拟筛选和 MD 模拟的使用为从天然来源发现潜在药物候选物提供了一种合理的方法。由 Ramaswamy H. Sarma 传达。

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