Jul 2026· Sheng wu gong cheng xue bao = Chinese journal of biotechnology· Vol 42 7, pp.
2881-2901
· 0 citations
Medicine
TL;DR
The aim of this review is to provide a systematic synthesis of the methodological framework for AI-based mining of microbiome-derived AMPs, thereby offering theoretical references and technical guidance for the efficient identification of novel AMPs.
A snapshot of AI-driven technologies for AMP design is provided and two modes of AI-driven technologies for AMP design are surveyed, one concentrated on identifying whether current data possess antimicrobial activity and the other on generating AMP candidates with potential therapeutic properties (generation-oriented).
Yong-Qiang Liu, Jie Hu, Ning Zhang et al.· Synthetic and Systems Biotec...· 0 citations
This work proposes a structured framework for microbiota-inclusive assessment and strategies for the design and delivery of microbiota-friendly variants in antimicrobial peptides, providing valuable insights for future research in microbiology and pharmacology.
The structural diversity, mechanisms of action, and structure-activity relationships (SAR) of AMPs that underpin their biological activity and guide the rational design of next-generation peptide therapeutics are summarized.
This review examines how the diverse molecular mechanisms through which AMPs exert antimicrobial effects-including membrane disruption, intracellular targeting, and immunomodulation-are intrinsically linked to their structural diversity and ecological breadth and critically evaluates engineering strategies that improve...
A stability-centric computational discovery pipeline to identify and characterize novel antimicrobial peptides with potent and selective bactericidal activity against ESKAPE pathogens and to validate the lead candidates through experimental in vitro assays provided a generally applicable strategy for accelerating the d...
H. S. Mahrosh, M. Christodoulides, A. Jamil· Probiotics and Antimicrobial...· 0 citations
The work suggests the Indian marine microbiome as a promising reservoir for novel AMP candidates and suggests that an integrated computational pipeline – combining machine learning, structural biology, and biophysical simulation – may help prioritize candidate peptides for future experimental validation against critica...
S. V., Nasri Thaha, B. Dehury· PLoS ONE· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.