The findings highlighted a promising application of deep evolutionary machine learning techniques for screening a range of novel AMPs for selective antimicrobial agents.
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 study provides an experimental assessment of model-guided AMP discovery and a reproducible route from computational prediction to validated antimicrobial candidates, while revealing biases and generalizability limits of AI-based AMP inference.
S. Ojeda, P. Ávila, S. Castellanos et al.· bioRxiv· 0 citations
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
An evolution-inspired approach to reconstruct and predict AMPs from partial BGCs is presented and a promising therapeutic candidate is introduced, NP001, which effectively counteracts polymyxin-resistant pathogens.
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.
Xiaoya Guo, Nannan Mo, Tengteng Fu et al.· Sheng wu gong cheng xue bao...· 0 citations
A series of ciprofloxacin-sulfonamide hybrid molecules was designed, in which each pharmacophore retains its established mechanism of action and CIS4, CIS5, and CIS12 emerged as the most promising dual-target inhibitor of bacterial DHPS and DNA gyrase.
Chita Ranjan Sahoo, Madhusmita Rout, S. Paidesetty et al.· Frontiers in Bioinformatics· 0 citations
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