Skip to content
Open access

Computational evolutionary approach to generate antimicrobial peptides

Jul 2026 · bioRxiv · 0 citations
Biology

TL;DR

The findings highlighted a promising application of deep evolutionary machine learning techniques for screening a range of novel AMPs for selective antimicrobial agents.

Read PDF

Similar papers

Review Open access Jul 2026

Artificial intelligence catalyzes antimicrobial peptide design

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. · 0 citations
Open access Aug 2026

Assessing the translation of AI-prioritized genome-derived peptide fragments into validated antimicrobial candidates

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. · 0 citations
Open access Aug 2026

The Activity of Antimicrobial Peptides (AMPs) Identified Via an Integrated in Silico and Pilot in Vitro Screening Approach Towards ESKAPE Pathogens.

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 · 0 citations
Open access Aug 2026

Discovery of antimicrobial peptides from incomplete biosynthetic gene clusters to combat multidrug-resistant bacteria

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.

Ya‐Li Tang, Xin Cheng, Jing Zhou et al. · 0 citations
Review Jul 2026

[Artificial intelligence-based mining of antimicrobial peptides in the microbiome].

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. · 0 citations
Open access Sep 2026

All-atoms MD simulations study of newly designed ciprofloxacin derivatives as potential bacterial DHPS and DNA gyrase inhibitors

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.