Micaely Linhares, Dyuly Kelry Costa Guimarães, Kethelin Vitória Zaire dos Santos, Henrique Lopes de Barros, Marcio Rodrigues Miranda, Kaio Alexandre da Silva
{"title":"Ramachandran Chart","authors":"Micaely Linhares, Dyuly Kelry Costa Guimarães, Kethelin Vitória Zaire dos Santos, Henrique Lopes de Barros, Marcio Rodrigues Miranda, Kaio Alexandre da Silva","doi":"10.31686/ijier.vol10.iss12.3971","DOIUrl":null,"url":null,"abstract":"\n \n \nA few years ago, validating proteins to see if they were good or bad was a process that took years. With the creation of the Ramachandran Graph that evaluates protein structures through the angles φ (phi) and ψ (psi), this task became less onerous. With the evolution of computing and bioinformatics, platforms have been created to generate Ramachandran graphs in an online manner, however, the platforms have a high degree of usability complexity. The system proposed by this project puts the user as the center of the development, developing a system that can generate the Ramachandran graphs from the files sent, make the outlier analysis and return to the user through e-mail communication when the activities are finished. \n \n \n","PeriodicalId":13726,"journal":{"name":"International journal for innovation education and research","volume":"72 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal for innovation education and research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31686/ijier.vol10.iss12.3971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A few years ago, validating proteins to see if they were good or bad was a process that took years. With the creation of the Ramachandran Graph that evaluates protein structures through the angles φ (phi) and ψ (psi), this task became less onerous. With the evolution of computing and bioinformatics, platforms have been created to generate Ramachandran graphs in an online manner, however, the platforms have a high degree of usability complexity. The system proposed by this project puts the user as the center of the development, developing a system that can generate the Ramachandran graphs from the files sent, make the outlier analysis and return to the user through e-mail communication when the activities are finished.
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