首页|Design methods for antimicrobial peptides with improved performance

Design methods for antimicrobial peptides with improved performance

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The recalcitrance of pathogens to traditional antibiotics has made treating and eradicating bacterial infections more difficult.In this regard,developing new antimicrobial agents to combat antibiotic-resistant strains has become a top priority.Antimicrobial peptides(AMPs),a ubiquitous class of naturally occurring compounds with broad-spectrum antipathogenic activity,hold significant promise as an effective solution to the current antimicrobial resistance(AMR)crisis.Several AMPs have been identified and evaluated for their therapeutic application,with many already in the drug development pipeline.Their distinct properties,such as high target specificity,potency,and ability to bypass microbial resistance mechanisms,make AMPs a promising alternative to traditional antibiotics.Nonetheless,several challenges,such as high toxicity,lability to proteolytic degradation,low stability,poor pharmacokinetics,and high production costs,continue to hamper their clinical applicability.Therefore,recent research has focused on optimizing the properties of AMPs to improve their performance.By understanding the physicochemical properties of AMPs that correspond to their activity,such as amphipathicity,hydrophobicity,structural conformation,amino acid distribution,and composition,researchers can design AMPs with desired and improved performance.In this review,we highlight some of the key strategies used to optimize the performance of AMPs,including rational design and de novo synthesis.We also discuss the growing role of predictive computational tools,utilizing artificial intelligence and machine learning,in the design and synthesis of highly efficacious lead drug candidates.

Antimicrobial resistanceAntimicrobial peptidesDesign methodsPeptidomimeticsArtificial intelligence

James Mwangi、Peter Muiruri Kamau、Rebecca Caroline Thuku、Ren Lai

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Key Laboratory of Bioactive Peptides of Yunnan Province,Engineering Laboratory of Peptides of Chinese Academy of Sciences,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases,National Resource Centre for Non-Human Primates,Kunming Primate Research Centre,National Research Facility for Phenotypic & Genetic Analysis of Model Animals(Primate Facility),Sino-African Joint Research Centre,New Cornerstone Science Institute,Kunming Institute of Zoology,Chinese Academy of Sciences,Kunm

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaMinistry of Science and Technology of ChinaChinese Academy of SciencesChinese Academy of SciencesYunnan Province GrantYunnan Province GrantKunming Science and Technology BureauNew Cornerstone Investigator Program

31930015322003972018YFA0801403XDB31000000KFJ-BRP-008-003202003AD150008202002AA1000072023SCP001

2023

动物学研究
中国科学院昆明动物研究所 中国动物学会

动物学研究

CSTPCDCSCD
影响因子:0.582
ISSN:0254-5853
年,卷(期):2023.44(6)
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