Evidence map›Paper›PMID 42116559›Full record

ArticleProtein and peptide letters2026

Design and TAG-Assisted Synthesis of the C-Terminal Amidated Antimicrobial Peptide NCBP-1 Derived from a Plant-Derived Noncanonical NCBP and Its Biological Activity.

Ziying Geng, Linyan Zhang, Haidi Li, Taigang Liang

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Article in Protein and peptide letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ziying GengMedicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
Linyan ZhangMedicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
Haidi LiMedicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.
Taigang LiangMedicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, 030001, China.

Funding

Central Funds for Guiding Local Technological Development YDZJSX2025C028Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University CKD/SXMU-2025-07, CKD-2027-07Shanxi Province's Basic Research Program 202303021222152
6 · The paper itself

Abstract

introductionThe rise in global bacterial resistance necessitates the discovery of novel antibiotics. Plant-derived Antimicrobial Peptides (AMPs) offer structural diversity and biocompatibility. This study aims to investigate the green synthesis and biological activities of derivatives of NCBP, a linear non-classical AMP identified from plants.

methodsFive NCBP derivatives (NCBP-1 to NCBP-5) were generated using a green tag-assisted peptide synthesis (TAPS) strategy, combined with site-directed mutagenesis and terminal modification. The peptides were characterized by MS and HPLC and subsequently evaluated for antibacterial activity against ten bacterial strains, salt tolerance, and cytotoxicity in RAW 264.7 murine macrophages. Molecular docking was performed to assess binding interactions.

resultsNCBP-1 was identified as the lead derivative, demonstrating potent antibacterial activity (MIC 8 μg·mL-¹) and low cytotoxicity. It also exhibited moderate anti-inflammatory activity in LPSstimulated RAW 264.7 macrophages. Its antibacterial mechanism was further supported by favorable molecular docking interactions with E. coli outer membrane LPS (PDB ID: 4RHB). DISCUSSION: The combined approach successfully identified NCBP-1 as a potent antibacterial candidate. Its activity against Gram-negative bacteria is likely related to LPS binding, as suggested by the docking results. Further studies would be needed to fully elucidate its mechanism of action.

conclusionNCBP-1 represents a promising lead for the development of novel antibacterial agents, particularly for treating Gram-negative bacterial infections.

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesPlant ProteinsAnimalsAnti-Inflammatory AgentsDrug DesignMacrophagesMiceMicrobial Sensitivity TestsMolecular Docking SimulationRAW 264.7 CellsAnti-Bacterial AgentsAnti-Inflammatory AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesPlant Proteinsantibacterial activityanti-inflammatory activityantimicrobial peptides (AMPs)molecular dockingNCBPTag-assisted peptide synthesis (TAPS)

Identifiers

PMID42116559
PMCPMC13161480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.