Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou's 5 Step Rule
DC Field | Value | Language |
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dc.contributor.author | Khanum, S. | - |
dc.contributor.author | Ashraf, M.A. | - |
dc.contributor.author | Karim, A. | - |
dc.contributor.author | Shoaib, B. | - |
dc.contributor.author | Khan, M.A. | - |
dc.contributor.author | Naqvi, R.A. | - |
dc.contributor.author | Siddique, K. | - |
dc.contributor.author | Alswaitti, M. | - |
dc.date.accessioned | 2022-06-19T02:40:15Z | - |
dc.date.available | 2022-06-19T02:40:15Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 1546-2218 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84656 | - |
dc.description.abstract | Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a peptide. It is a clinically important attribute to numerous age-related, metabolic, and chronic diseases such as diabetes, Alzheimer's, renal failure, etc. Identification of a non-enzymatic reaction are quite challenging in research. Manual identification in labs is a very costly and timeconsuming process. In this research, we developed an accurate, valid, and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated sites. Comprehensive techniques using position relative features are used for feature extraction. An algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational model. Various types of testing techniques such as self-consistency testing, jackknife testing, and cross-validation testing are used to evaluate the model. The overall model's accuracy was accomplished through self-consistency, jackknife, and cross-validation testing 100%, 99.92%, and 99.88% with MCC 1.00, 0.99, and 0.997 respectively. In this regard, a user-friendly webserver is also urbanized to accumulate the whole procedure. These features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation. © 2021 Tech Science Press. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TECH SCIENCE PRESS | - |
dc.relation.isPartOf | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.title | Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou's 5 Step Rule | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000811518100001 | - |
dc.identifier.doi | 10.32604/cmc.2020.013646 | - |
dc.identifier.bibliographicCitation | CMC-COMPUTERS MATERIALS & CONTINUA, v.66, no.2, pp.2165 - 2181 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85097199313 | - |
dc.citation.endPage | 2181 | - |
dc.citation.startPage | 2165 | - |
dc.citation.title | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.citation.volume | 66 | - |
dc.citation.number | 2 | - |
dc.contributor.affiliatedAuthor | Khan, M.A. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Chou&apos | - |
dc.subject.keywordAuthor | s 5 step rule | - |
dc.subject.keywordAuthor | Gly-LysPred | - |
dc.subject.keywordAuthor | Lysine glycation | - |
dc.subject.keywordAuthor | Position relative features | - |
dc.subject.keywordAuthor | Post-translational modification | - |
dc.subject.keywordAuthor | PseAAC | - |
dc.subject.keywordPlus | Amino acids | - |
dc.subject.keywordPlus | Decision trees | - |
dc.subject.keywordPlus | Testing | - |
dc.subject.keywordPlus | Computational model | - |
dc.subject.keywordPlus | Feature engineerings | - |
dc.subject.keywordPlus | Manual identification | - |
dc.subject.keywordPlus | Post-translational modifications | - |
dc.subject.keywordPlus | Preprocessing techniques | - |
dc.subject.keywordPlus | Self-consistency | - |
dc.subject.keywordPlus | Statistical moments | - |
dc.subject.keywordPlus | Testing technique | - |
dc.subject.keywordPlus | Glycosylation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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