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抗真菌细胞壁治疗性肽的计算机模拟验证:真菌疾病的更佳治疗策略

In-Silico Validation of Therapeutic Peptides Against Fungal Cell Wall: Better Treatment Strategy for Fungal Diseases.

作者信息

Joshi Amit, Solanki Dilip Singh, Gehlot Praveen, Singh Joginder, Kaushik Vikas

机构信息

Department of Bioinformatics, Lovely Professional University, Phagwara, Punjab India 144011.

Department of Biotechnology, Invertis University, Bareilly, U.P India 243123.

出版信息

Int J Pept Res Ther. 2022;28(1):15. doi: 10.1007/s10989-021-10330-9. Epub 2021 Dec 2.

Abstract

commonly known as Druce are valuable herb that holds antibacterial role, antifungal properties. We identified different peptides from this plant by deploying CADD (Computer-aided-drug-designing) approaches, these peptide sequences are as follows seq1 (RHDEEEEKAKV),seq3(KSNSTVEISQNVQSVDSSKM),seq4(KQVAEMNKPAVGSKTSDANHDLKS),seq5(KTKSAGNDSIQSTKPVPSALTVDKA),seq6(RELEDSNIHHVAASVVLESKSSRT), and seq8(LYSKVELHPFGLHNLGNSCYANAVFSV), these peptides holds therapeutic properties as shows interaction with chitin, a major constituent of fungal cell wall. Molecular docking was conducted by using AutoDock-Vina tool and the results were found to be promising where all binding energies were found in the range of - 9.1 to - 7.5 kcal/mol, it indicates strong binding of peptide sequences with chitin molecule. Even the toxicity analysis supports the considered peptide sequences to hold therapeutic role against fungus with non-toxic effect on humans. These peptides were successfully predicted as important therapeutic agents of seed that can initiate chitin breakdown, due to their possible strong interaction with fungal cell wall and it also suggests this medicinal plant holds the key for multiple fungal disease treatments. This study will open new research dimensions and integration of computational biology with microbial pathology that will assist scientific and medical community to develop rapid disease prevention strategies against fungal pathogenesis.

摘要

通常被称为德鲁斯的植物是一种珍贵的草药,具有抗菌作用和抗真菌特性。我们通过采用计算机辅助药物设计(CADD)方法从这种植物中鉴定出不同的肽,这些肽序列如下:seq1(RHDEEEEKAKV)、seq3(KSNSTVEISQNVQSVDSSKM)、seq4(KQVAEMNKPAVGSKTSDANHDLKS)、seq5(KTKSAGNDSIQSTKPVPSALTVDKA)、seq6(RELEDSNIHHVAASVVLESKSSRT)和seq8(LYSKVELHPFGLHNLGNSCYANAVFSV),这些肽具有治疗特性,因为它们与真菌细胞壁的主要成分几丁质有相互作用。使用AutoDock-Vina工具进行了分子对接,结果很有前景,所有结合能都在-9.1至-7.5千卡/摩尔范围内,这表明肽序列与几丁质分子有很强的结合。甚至毒性分析也支持所考虑的肽序列对真菌具有治疗作用且对人类无毒。这些肽被成功预测为种子的重要治疗剂,可引发几丁质分解,因为它们可能与真菌细胞壁有强烈相互作用,这也表明这种药用植物是多种真菌疾病治疗的关键。这项研究将开辟新的研究维度,并将计算生物学与微生物病理学相结合,这将有助于科学界和医学界制定针对真菌发病机制的快速疾病预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35f8/8636789/faf6ab257264/10989_2021_10330_Fig1_HTML.jpg

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