{"title":"A fast high-throughput logP estimation method for peptide molecules based on liquid chromatography-mass spectrometry method","authors":"Jing Deng, Hengmao Zhang, Yixuan Zhai, Wenbo Sun, Jin Li, Guansai Liu, Wei Tang","doi":"10.1007/s00044-026-03530-9","DOIUrl":null,"url":null,"abstract":"<div><p>We have developed a complete end-to-end high-throughput protocol for rapid estimation of logP values of peptide molecules. This scheme combines two core technologies: firstly, the “pool and split” high-throughput synthesis technology is used to efficiently prepare peptide samples; secondly, a logP detection method based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was developed, which relies on high-resolution mass spectrometry to accurately identify hundreds of components in mixed samples. In addition, we innovatively established a linear correlation model between chromatographic capacity factor logK’ and logP, which has an excellent correlation (R² = 0.92) and can accelerate fully automated data analysis. Finally, we successfully synthesized and detected mixed samples containing 16, 81, and 256 peptide molecules, with a logP detection rate exceeding 85%. The sample processing capacity of this detection system can exceed 20000 per day, which can significantly accelerate the early screening process of lead molecules in drug development.</p><div><figure><div><div><picture><source><img></source></picture><span>The alternative text for this image may have been generated using AI.</span></div></div></figure></div></div>","PeriodicalId":699,"journal":{"name":"Medicinal Chemistry Research","volume":"35 4","pages":"765 - 769"},"PeriodicalIF":3.1000,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicinal Chemistry Research","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s00044-026-03530-9","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
We have developed a complete end-to-end high-throughput protocol for rapid estimation of logP values of peptide molecules. This scheme combines two core technologies: firstly, the “pool and split” high-throughput synthesis technology is used to efficiently prepare peptide samples; secondly, a logP detection method based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was developed, which relies on high-resolution mass spectrometry to accurately identify hundreds of components in mixed samples. In addition, we innovatively established a linear correlation model between chromatographic capacity factor logK’ and logP, which has an excellent correlation (R² = 0.92) and can accelerate fully automated data analysis. Finally, we successfully synthesized and detected mixed samples containing 16, 81, and 256 peptide molecules, with a logP detection rate exceeding 85%. The sample processing capacity of this detection system can exceed 20000 per day, which can significantly accelerate the early screening process of lead molecules in drug development.
The alternative text for this image may have been generated using AI.
期刊介绍:
Medicinal Chemistry Research (MCRE) publishes papers on a wide range of topics, favoring research with significant, new, and up-to-date information. Although the journal has a demanding peer review process, MCRE still boasts rapid publication, due in part, to the length of the submissions. The journal publishes significant research on various topics, many of which emphasize the structure-activity relationships of molecular biology.