Protein acetylation refers to a process of adding acetyl groups(CH3CO-)to lysine residues on protein chains.As one of the most commonly used protein post-translational modifications,lysine acetylation plays an importa...Protein acetylation refers to a process of adding acetyl groups(CH3CO-)to lysine residues on protein chains.As one of the most commonly used protein post-translational modifications,lysine acetylation plays an important role in different organisms.In our study,we developed a humanspecific method which uses a cascade classifier of complexvalued polynomial model(CVPM),combined with sequence and structural feature descriptors to solve the problem of imbalance between positive and negative samples.Complexvalued gene expression programming and differential evolution are utilized to search the optimal CVPM model.We also made a systematic and comprehensive analysis of the acetylation data and the prediction results.The performances of our proposed method are 79.15%in Sp,78.17%in Sn,78.66%in ACC 78.76%in F1,and 0.5733 in MCC,which performs better than other state-of-the-art methods.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.61902337)Xuzhou Science and Technology Plan Project(KC21047)+4 种基金Jiangsu Provincial Natural Science Foundation(No.SBK2019040953)Natural Science Fund for Colleges and Universities in Jiangsu Province(No.19KJB520016)Young Talents of Science and Technology in Jiangsu,the Key Research Program of the Science Foundation of Shandong Province(ZR2020KE001)the talent project of“Qingtan Scholar”of Zaozhuang University,the PhD research startup foundation of Zaozhuang University(No.2014BS13)Zaozhuang University Foundation(No.2015YY02).
文摘Protein acetylation refers to a process of adding acetyl groups(CH3CO-)to lysine residues on protein chains.As one of the most commonly used protein post-translational modifications,lysine acetylation plays an important role in different organisms.In our study,we developed a humanspecific method which uses a cascade classifier of complexvalued polynomial model(CVPM),combined with sequence and structural feature descriptors to solve the problem of imbalance between positive and negative samples.Complexvalued gene expression programming and differential evolution are utilized to search the optimal CVPM model.We also made a systematic and comprehensive analysis of the acetylation data and the prediction results.The performances of our proposed method are 79.15%in Sp,78.17%in Sn,78.66%in ACC 78.76%in F1,and 0.5733 in MCC,which performs better than other state-of-the-art methods.
