Treffer: Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy.

Title:
Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy.
Authors:
Li C; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhou QQ; Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing 210002, China.; Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, China., Yu T; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhang X; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Kang Z; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zhou M; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Wang Y; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Zou X; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Wang Z; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Guo J; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Li Q; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Lu G; Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing 210002, China., Xie H; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China., Guo J; School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China.
Source:
Journal of chemical information and modeling [J Chem Inf Model] 2025 Aug 25; Vol. 65 (16), pp. 8603-8613. Date of Electronic Publication: 2025 Aug 05.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Imprint Name(s):
Original Publication: Washington, D.C. : American Chemical Society, c2005-
Substance Nomenclature:
0 (Antimicrobial Cationic Peptides)
0 (Antimicrobial Peptides)
0 (Phospholipids)
Entry Date(s):
Date Created: 20250805 Date Completed: 20250825 Latest Revision: 20250827
Update Code:
20250827
DOI:
10.1021/acs.jcim.5c01392
PMID:
40762576
Database:
MEDLINE

Weitere Informationen

Antimicrobial peptides (AMPs) can rapidly kill bacteria via disrupting the integrity of the cytoplasmic membrane. Although the understanding of the interaction between AMPs and phospholipid membrane is essential for related drug designs, the in situ observation of this process is still challenging, especially at the molecular level. Herein, we develop a new analytical methodology named gradient boosting algorithm-assisted Raman spectroscopy (GB-Raman) for revealing the membrane disruption mechanism of AMPs. The analytical process consists of three steps: first, collecting the Raman spectra of phospholipid membrane in the physiological environment without or with AMPs as two data sets; then, using the well-trained gradient boosting algorithm to automatically extract Raman spectral differences between the two data sets; finally, speculating the membrane disruption mechanisms of AMPs based on the molecular structure information offered by the above spectral differences. When using a well-studied AMP named magainin 2 as a proof of concept, the GB-Raman revealed that the intensity ratio of two v<subscript>C-C</subscript> peaks of lipid acyl chains ( I<subscript>1084</subscript> / I<subscript>1072</subscript> ) in the phospholipid membrane was increased and their locations were red-shifted after interacting with magainin 2. These spectral changes indicated the disturbance of lipid hydrophobic chain ordering caused by magainin 2, which was matched by previous studies. Another AMP named cathelicidin-BF (BF-30) with an unknown membrane disruption mechanism was also explored. The extracted Raman spectral differences originated from the decrease in the intensity of v<subscript>C-O-C</subscript> peak, δ <subscript>C-H</subscript> peak, and v<subscript>C-C</subscript> peaks of lipid acyl chains after interacting with BF-30, implying that BF-30 may disrupt phospholipid membrane like detergents. The above speculation was further verified by other technologies such as isothermal titration calorimetry (ITC). This study opens a new avenue to research on AMPs and provides deep insight into their membrane disruption behaviors, leading to great potential in drug development against bacterial resistance.