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分析 肽与抗癌靶点的相互作用通过分子对接评估 肽衍生自 的抗癌潜力。

analysis of the interaction of peptides derived from with anticancer targetsEvaluation of the anticancer potential of peptides derived from through molecular docking.

机构信息

Facultad de Ingeniería Química, Universidad Autónoma de Yucatán, Mérida, Mexico.

CONAHCYT, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, Mexico.

出版信息

J Biomol Struct Dyn. 2024 Aug;42(12):6119-6135. doi: 10.1080/07391102.2023.2232045. Epub 2023 Jul 15.

Abstract

Cancer is one of the leading causes of death worldwide. Conventional cancer therapies are not selective to cancer cells resulting in serious side effects on patients. Thus, the need for complementary treatments that improve the patient's response to cancer therapy is highly important. To predict and evaluate the physicochemical characteristics and potential anticancer activity of the peptides identified from protein fraction <1 kDa through the use of tools. Peptides derived from 's protein fraction <1 kDa were identified and analyzed for the prediction of their physicochemical properties. The characterized peptide sequences were then submitted to a multi-criteria decision analysis to identify the peptides that possess the characteristics to potentially exert anticancer activity. Through molecular docking analysis, the potential anticancer activity of the Potentially Anticancer Peptide (PAP)-1, PAP-2, PAP-3, PAP-4, and PAP-5 was estimated by their binding interactions with cancer and apoptosis-related molecules. All five evaluated PAPs exhibited strong binding interactions (< -100 kcal/mol). However, PAP-3 showed the lowest binding free energies with several of the targets. Thus, PAP-3 shows potential to be used as a nutraceutical or ingredient for functional foods that adjuvate in cancer treatment. Through the molecular docking studies, the binding of the PAPs to target molecules of interest for cancer treatment was successfully simulated, from which PAP-3 exhibited the lowest binding free energies. Further and studies are required to validate the predictions obtained by the analysis.Communicated by Ramaswamy H. Sarma.

摘要

癌症是全球主要死因之一。传统的癌症疗法对癌细胞没有选择性,会导致患者产生严重的副作用。因此,非常需要互补的治疗方法来提高患者对癌症治疗的反应。通过使用工具,预测和评估从蛋白质<1 kDa 部分鉴定出的肽的理化特性和潜在的抗癌活性。鉴定出蛋白质<1 kDa 部分的肽,并分析其理化性质的预测。然后将表征的肽序列提交给多标准决策分析,以确定具有潜在抗癌活性的肽。通过分子对接分析,通过与癌症和细胞凋亡相关分子的结合相互作用,估计了潜在抗癌肽(PAP)-1、PAP-2、PAP-3、PAP-4 和 PAP-5 的潜在抗癌活性。评估的所有 5 种 PAP 都表现出与靶分子的强结合相互作用(< -100 kcal/mol)。然而,PAP-3 与几个靶标表现出最低的结合自由能。因此,PAP-3 具有作为辅助癌症治疗的营养保健品或功能性食品成分的潜力。通过分子对接研究,成功模拟了 PAP 与癌症治疗相关靶分子的结合,其中 PAP-3 表现出最低的结合自由能。需要进一步的和实验研究来验证通过分析获得的预测。由 Ramaswamy H. Sarma 传达。

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