黄智兴, 仲伟婷, 苏诗宇, 邓欣祺, 陈恒, 饶沁玲, 胡子怡, 刘浩, 郭海涛, 李沐萱, 徐禄妮, 马涛, 王春国. 虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究J. 药学学报, 2025, 60(9): 2863-2875. DOI: 10.16438/j.0513-4870.2025-0481
引用本文: 黄智兴, 仲伟婷, 苏诗宇, 邓欣祺, 陈恒, 饶沁玲, 胡子怡, 刘浩, 郭海涛, 李沐萱, 徐禄妮, 马涛, 王春国. 虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究J. 药学学报, 2025, 60(9): 2863-2875. DOI: 10.16438/j.0513-4870.2025-0481
HUANG Zhi-xing, ZHONG Wei-ting, SU Shi-yu, DENG Xin-qi, CHEN Heng, RAO Qin-ling, HU Zi-yi, LIU Hao, GUO Hai-tao, LI Mu-xuan, XU Lu-ni, MA Tao, WANG Chun-guo. Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activitiesJ. Acta Pharmaceutica Sinica, 2025, 60(9): 2863-2875. DOI: 10.16438/j.0513-4870.2025-0481
Citation: HUANG Zhi-xing, ZHONG Wei-ting, SU Shi-yu, DENG Xin-qi, CHEN Heng, RAO Qin-ling, HU Zi-yi, LIU Hao, GUO Hai-tao, LI Mu-xuan, XU Lu-ni, MA Tao, WANG Chun-guo. Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activitiesJ. Acta Pharmaceutica Sinica, 2025, 60(9): 2863-2875. DOI: 10.16438/j.0513-4870.2025-0481

虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究

Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activities

  • 摘要: 本研究旨在从虻虫中筛选并鉴定具有潜在生物活性的肽类分子, 解析其结构特征与功能属性, 为新型天然肽类药物的研发提供理论基础。首先使用磷酸缓冲盐溶液(phosphate buffered saline, PBS) 提取虻虫中生物活性肽, 采用冷乙醇沉淀蛋白质并进行固相萃取纯化(solid-phase extraction, SPE)。经LC-MS/MS获得原始质谱数据后, 利用PEAKS Studio软件进行肽段识别和序列分析。随后使用Peptide Ranker预测肽段活性潜力, 进一步结合多种生物信息学工具, 对肽段功能特性进行分析, 包括活性位点、水溶性、稳定性、毒性及肠道吸收能力等指标。最终, 结合肽段结构信息开展分子对接分析。本研究共鉴定出10 378条虻虫肽段, 长度集中于6~26个氨基酸, 大部分肽段相对分子质量在1 500 Da以下, 低于2 500 Da的肽段占97.49%。通过Peptide Ranker筛选出95条评分≥ 0.80的候选活性肽段, 进一步借助BIOPEP-UWM确定了59条具有神经调节作用关键残基的肽段。生物信息学预测显示, 这59条肽段中29条水溶性良好、22条稳定性较高、43条具备较好的肠道吸收潜力, 且均无毒, 为后续功能验证及活性肽开发提供了理论依据。在此基础上, Peptide Ranker评分最高的多肽FPPRDF与二肽基肽酶Ⅲ (dipeptidyl peptidase Ⅲ, DPP Ⅲ) 进行分子对接时稳定结合, 提示其可能具有神经调节与抗肿瘤作用。本研究构建了一套系统、高效的活性肽筛选与功能预测流程, 能够从天然资源中快速识别具有药用潜力的生物活性肽。该策略为后续的功能验证、作用机制解析及新型肽类药物开发提供了技术支撑。

     

    Abstract: This study aimed to screen and identify bioactive peptides from Tabanus, characterize their structural and functional features, and provide a theoretical basis for the development of novel natural peptide-based therapeutics. Initially, bioactive peptides were extracted using phosphate buffered saline (PBS), followed by protein precipitation with cold ethanol and purification via solid-phase extraction (SPE). Peptide identification and sequence analysis were performed based on LC-MS/MS data using PEAKS Studio software. Peptide activity potential was then predicted using Peptide Ranker, and a comprehensive bioinformatics analysis was conducted to evaluate key functional characteristics, including active sites, solubility, stability, toxicity, and intestinal absorption capacity. A total of 10 378 peptide sequences were identified, with lengths predominantly ranging from 6 to 26 amino acids. Most peptides had a molecular weight below 1 500 Da, and 97.49% were below 2 500 Da. Based on Peptide Ranker score (≥ 0.80), 95 candidate bioactive peptides were selected. Among them, 59 peptides were identified as having neuroregulatory potential via the BIOPEP-UWM database, due to the presence of key functional residues. Bioinformatics prediction further revealed that among these 59 peptides, 29 exhibited good water solubility, 22 were predicted to be stable, 43 had favorable intestinal absorption potential, and none were toxic, highlighting their suitability for further functional studies and therapeutic development. Molecular docking analysis demonstrated that FPPRDF, the highest-ranking peptide according to Peptide Ranker, formed stable interactions with dipeptidyl peptidase Ⅲ (DPP Ⅲ), suggesting its potential neuroregulatory and antitumor activities. Overall, this study established a systematic and efficient workflow for the screening and functional prediction of bioactive peptides from natural sources. The proposed strategy provides robust technical support for subsequent experimental validation, mechanistic studies, and the development of novel peptide-based drugs.

     

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