M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures.

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Mahsa Sheikholeslami, Mohammad Hasan Nazari, Afshin Fassihi
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引用次数: 0

Abstract

Background: The field of computational drug design is undergoing rapid advancements, highlighting the need for innovative methods to enhance the efficiency and accuracy of calculating ligand-receptor interactions. In this context, we introduce the M01 tool, a comprehensive computational package designed to facilitate the generation and docking of small molecule-peptide hybrids. M01 integrates several established tools, such as RDKit and EasyDock, into a user-friendly platform that automates the workflow from hybrid generation to docking simulations. This tool is particularly beneficial for researchers with limited chemistry expertise, helping them leverage advanced computational techniques.

Results: The M01 tool features an intuitive interface for visualizing molecules and selecting connection points in generating new ligands. It also offers automated receptor preparation using UniProt or PDB IDs and generates default docking configuration files. Furthermore, it includes ligand preparation and docking capabilities through EasyDock and calculates molecular descriptors relevant to drug-likeness properties. Validation studies with peptide-alkoxyamine hybrids demonstrated the tool's effectiveness, generating over 14,000 unique hybrid molecules and showcasing its versatility in drug design applications.

Conclusions: The M01 tool represents a significant advancement in computational drug design, streamlining the process of creating hybrid molecules and conducting docking studies. Its ability to automate complex workflows and provide essential molecular insights can empower researchers and enhance the development of novel therapeutics, ultimately contributing to more efficient drug discovery efforts.

M01工具:一种自动化的综合计算工具,用于生成小分子肽杂交体并将其对接到精心设计的蛋白质结构中。
背景:计算药物设计领域正在经历快速发展,强调需要创新方法来提高计算配体-受体相互作用的效率和准确性。在此背景下,我们介绍了M01工具,这是一个综合性的计算包,旨在促进小分子-肽杂交种的生成和对接。M01集成了几个已建立的工具,如RDKit和EasyDock,到一个用户友好的平台,自动化工作流从混合生成对接模拟。这个工具对化学专业知识有限的研究人员特别有益,帮助他们利用先进的计算技术。结果:M01工具具有直观的界面,用于分子可视化和生成新配体时选择连接点。它还提供使用UniProt或PDB id的自动受体准备,并生成默认对接配置文件。此外,它还包括通过EasyDock制备配体和对接能力,并计算与药物相似特性相关的分子描述符。多肽-烷氧胺杂交体的验证研究证明了该工具的有效性,产生了超过14,000种独特的杂交分子,并展示了其在药物设计应用中的多功能性。结论:M01工具代表了计算药物设计的重大进步,简化了创建混合分子和进行对接研究的过程。它能够自动化复杂的工作流程,并提供基本的分子洞察力,可以增强研究人员的能力,并加强新疗法的开发,最终有助于更有效的药物发现工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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