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Gly-LysPred: Identification of Lysine Glycation sites in Protein Using Position Relative Features and statistical Moments via chou’s 5 step rule

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Computers, Materials & Continua 2021年第2期66卷 2165-2181页

作者： shaheena Khanum Muhammad Adeel Ashraf Asim Karim Bilal shoaib Muhammad Adnan Khan Rizwan Ali Naqvi Kamran siddique Mohammed Alswaitti Department of Computer science Lahore University of Management SciencesLahore54792Pakistan Department of Computer science University of Management and TechnologyLahore54770Pakistan school of Computer science Minhaj University LahoreLahore54770Pakistan Department of Computer science Lahore Garrison UniversityLahore54000Pakistan Department of Unmanned Vehicle Engineering Sejong UniversitySeoulKorea Department of Information and Communication Technology School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a *** is a clinically important attribute to numerous age-related,metabolic,and chronic diseases such as diabetes,Alzheimer’s,renal failure,*** of a non-enzymatic reaction are quite challenging in *** identification in labs is a very costly and timeconsuming *** this research,we developed an accurate,valid,and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated *** techniques using position relative features are used for feature *** algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational *** types of testing techniques such as self-consistency testing,jackknife testing,and cross-validation testing are used to evaluate 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 *** this regard,a user-friendly webserver is also urbanized to accumulate the whole *** features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation.

关键词： Gly-LysPred PseAAC post-translational modification lysine glycation chou’s 5 step rule position relative features

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