Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

A fast high-throughput logP estimation method for peptide molecules based on liquid chromatography-mass spectrometry method.

Created on 14 Jul 2026

Authors

Jing Deng, Hengmao Zhang, Yixuan Zhai, Wenbo Sun, Jin Li, Guansai Liu, Wei Tang

Published in

Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents. Volume 35. Issue 4. Pages 765-769. Epub Feb 03, 2026.

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.

PMID:
42446722
Bibliographic data and abstract were imported from PubMed on 14 Jul 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 2
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement