A class of BVPS for first order impulsive functional integro-differential equations with a parameter

This paper is concerned with a class of boundary value problems for the nonlinear impulsive functional integro-differential equations with a parameter by establishing new comparison principles and using the method of upper and lower solutions together with monotone iterative technique. Sufficient conditions are established for the existence of extremal system of solutions for the given problem. Finally, we give an example that illustrates our results

EBAMP: An efficient de novo broad-spectrum antimicrobial peptide discovery framework

Summary: De novo design of antimicrobial peptides (AMPs) is challenging due to the vast combinatorial space and unknown mechanisms. We propose EBAMP, a generative-discriminative framework for de novo broad-spectrum AMP design targeting bacteria and fungi. EBAMP combines a Transformer-based generative model with advanced feature-based screening to explore peptide space and select multiobjective candidates. Experimental testing of 256 designed sequences shows that 96 (37.5%) display bactericidal ability. The top 10 sequences exhibit low cytotoxicity, low hemolysis, and strong antibacterial effect (2 μg/mL) against multidrug-resistant bacteria and fungi. In vivo mouse full-thickness wound infection model demonstrates inhibitory effects against Acinetobacter baumannii (bacterium) and Candida auris (fungus), with therapeutic efficiency comparable to antibiotics but lower resistance propensity. Alanine substitution analysis and molecular dynamics reveal functionally critical positions. EBAMP showcases large generative models for broad-spectrum AMP discovery and addresses antibiotic resistance