AIMC Topic: Antimicrobial Cationic Peptides

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Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction.

Briefings in bioinformatics
The evolution of drug-resistant pathogenic microbial species is a major global health concern. Naturally occurring, antimicrobial peptides (AMPs) are considered promising candidates to address antibiotic resistance problems. A variety of computationa...

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery.

Current topics in medicinal chemistry
Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the pe...

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

IEEE/ACM transactions on computational biology and bioinformatics
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring antimicrobial peptides (AMPs) as templates for novel drug design. While experimentalists mainly focus on systematic point mutations to measure the effec...

[Process Optimization of PEGylating Fused Protein of LL-37 and Interferon-α2a].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
PEGylating is an effective way for prolonging the half-time period and decreasing the immunogenicity of protein drugs. With experiments of single factor, it was proved that the optimal processes for PEGylating the fused protein of LL-37 and interfero...

The Diagnostic Role of Vitamin D and Cathelicidin Levels in Pelvic Inflammatory Disease.

Clinical laboratory
BACKGROUND: The aim of this study was to evaluate the effect of 25-hydroxyvitamin D [25(OH)D] and cathelicidin levels on pelvic inflammatory disease [PID] in reproductive aged women.