{"title":"抗菌肽识别的理化特征","authors":"Daniel Veltri, Amarda Shehu","doi":"10.1109/BIBMW.2012.6470274","DOIUrl":null,"url":null,"abstract":"Concerns over antibacterial resistance have antimicrobial peptides (AMPs) garnering attention as potential targets for new antibacterial drugs [1]. Wet-lab development of AMP-based drugs hinge on understanding the relationship between AMP sequence and activity [1]. In support of such efforts, we devise a method to highlight position-based physico-chemical features related to activity. We do so in a focused analysis of the mature peptide fragments of cathelicidins; a populous sequence-diverse family of well-studied a-helical AMPs [1]. We employ features based on the AAIndex [2], an extensive collection of documented physico-chemical amino acid properties, and Support Vector Machine (SVM) to recognize cathelicidins from a set of carefully designed decoy sequences. Our results demonstrate that these features are very useful in elucidating specific residue positions and properties related to AMP activity.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Physico-chemical features for recognition of antimicrobial peptides\",\"authors\":\"Daniel Veltri, Amarda Shehu\",\"doi\":\"10.1109/BIBMW.2012.6470274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concerns over antibacterial resistance have antimicrobial peptides (AMPs) garnering attention as potential targets for new antibacterial drugs [1]. Wet-lab development of AMP-based drugs hinge on understanding the relationship between AMP sequence and activity [1]. In support of such efforts, we devise a method to highlight position-based physico-chemical features related to activity. We do so in a focused analysis of the mature peptide fragments of cathelicidins; a populous sequence-diverse family of well-studied a-helical AMPs [1]. We employ features based on the AAIndex [2], an extensive collection of documented physico-chemical amino acid properties, and Support Vector Machine (SVM) to recognize cathelicidins from a set of carefully designed decoy sequences. Our results demonstrate that these features are very useful in elucidating specific residue positions and properties related to AMP activity.\",\"PeriodicalId\":6392,\"journal\":{\"name\":\"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBMW.2012.6470274\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBMW.2012.6470274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Physico-chemical features for recognition of antimicrobial peptides
Concerns over antibacterial resistance have antimicrobial peptides (AMPs) garnering attention as potential targets for new antibacterial drugs [1]. Wet-lab development of AMP-based drugs hinge on understanding the relationship between AMP sequence and activity [1]. In support of such efforts, we devise a method to highlight position-based physico-chemical features related to activity. We do so in a focused analysis of the mature peptide fragments of cathelicidins; a populous sequence-diverse family of well-studied a-helical AMPs [1]. We employ features based on the AAIndex [2], an extensive collection of documented physico-chemical amino acid properties, and Support Vector Machine (SVM) to recognize cathelicidins from a set of carefully designed decoy sequences. Our results demonstrate that these features are very useful in elucidating specific residue positions and properties related to AMP activity.