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M01工具:一种自动化的综合计算工具,用于生成小分子-肽杂交物并将其对接至经过整理的蛋白质结构中。

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

作者信息

Sheikholeslami Mahsa, Nazari Mohammad Hasan, Fassihi Afshin

机构信息

Department of Medicinal Chemistry, School of Pharmacy and Pharmaceutical Science, Isfahan University of Medical Science, Hezar Jerib, Isfahan, 817416 - 73461, Iran.

出版信息

BMC Bioinformatics. 2025 Apr 14;26(1):102. doi: 10.1186/s12859-025-06120-5.

DOI:10.1186/s12859-025-06120-5
PMID:40229743
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11995494/
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.

摘要

背景

计算药物设计领域正在迅速发展,这凸显了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,我们推出了M01工具,这是一个综合计算软件包,旨在促进小分子-肽杂合物的生成和对接。M01将几个已成熟的工具,如RDKit和EasyDock,集成到一个用户友好的平台中,该平台可自动执行从杂合物生成到对接模拟的工作流程。该工具对化学专业知识有限的研究人员特别有益,可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,用于可视化分子并在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,并生成默认的对接配置文件。此外,它通过EasyDock具备配体制备和对接能力,并计算与类药性质相关的分子描述符。对肽-烷氧基胺杂合物的验证研究证明了该工具的有效性,生成了超过14000个独特的杂合分子,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展,简化了创建杂合分子和进行对接研究的过程。它自动执行复杂工作流程并提供重要分子见解的能力可以增强研究人员的能力,并促进新型疗法的开发,最终有助于更高效的药物发现工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/b9a11f83b72a/12859_2025_6120_Sch5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/1566c7de0b2a/12859_2025_6120_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/1bc386fedc73/12859_2025_6120_Sch2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/c78f1d8d760b/12859_2025_6120_Sch3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/acf8c200cfd5/12859_2025_6120_Sch4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/b9a11f83b72a/12859_2025_6120_Sch5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/1566c7de0b2a/12859_2025_6120_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/1bc386fedc73/12859_2025_6120_Sch2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/c78f1d8d760b/12859_2025_6120_Sch3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/acf8c200cfd5/12859_2025_6120_Sch4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20a0/11995494/b9a11f83b72a/12859_2025_6120_Sch5_HTML.jpg

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本文引用的文献

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Hybrid Peptide-Alkoxyamine Drugs: A Strategy for the Development of a New Family of Antiplasmodial Drugs.杂合肽-烷氧基胺药物:一类新型抗疟药物的研发策略。
Molecules. 2024 Mar 21;29(6):1397. doi: 10.3390/molecules29061397.
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Peptide-Drug Conjugates: Design, Chemistry, and Drug Delivery System as a Novel Cancer Theranostic.肽-药物偶联物:作为一种新型癌症诊疗手段的设计、化学及药物递送系统
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肽药物偶联物:下一代肽治疗药物的新兴方向。
J Med Chem. 2024 Feb 8;67(3):1641-1661. doi: 10.1021/acs.jmedchem.3c01835. Epub 2024 Jan 26.
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EasyDock: customizable and scalable docking tool.EasyDock:可定制且可扩展的对接工具。
J Cheminform. 2023 Nov 1;15(1):102. doi: 10.1186/s13321-023-00772-2.
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Angiotensin-Related Peptides and Their Role in Pain Regulation.血管紧张素相关肽及其在疼痛调节中的作用。
Biology (Basel). 2023 May 22;12(5):755. doi: 10.3390/biology12050755.
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Improving solubility of poorly water-soluble drugs by protein-based strategy: A review.基于蛋白质策略提高难溶性药物溶解度的研究进展综述
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Peptidomimetics and Their Applications for Opioid Peptide Drug Discovery.肽模拟物及其在阿片肽药物发现中的应用。
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Why 90% of clinical drug development fails and how to improve it?为什么90%的临床药物研发会失败以及如何改进?
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