首页|Protein acetylation sites with complex-valued polynomial model

Protein acetylation sites with complex-valued polynomial model

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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 human-specific method which uses a cascade classifier of complex-valued polynomial model(CVPM),combined with sequence and structural feature descriptors to solve the problem of imbalance between positive and negative samples.Complex-valued 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 Fl,and 0.5733 in MCC,which performs better than other state-of-the-art methods.

protein acetylationcomplex-valued polynomial modelmachine learning

Wenzheng BAO、Bin YANG

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School of Information Engineering,Xuzhou University of Technology,Xuzhou 221018,China

School of Information Science and Engineering,Zaozhuang University,Zaozhuang 277160,China

National Natural Science Foundation of ChinaXuzhou Science and Technology Plan ProjectJiangsu Provincial Natural Science FoundationNatural Science Fund for Colleges and Universities in Jiangsu ProvinceYoung Talents of Science and Technology in JiangsuKey Research Program of the Science Foundation of Shandong Provincetalent project of"Qingtan Scholar"of Zaozhuang UniversityPhD research startup foundation of Zaozhuang UniversityZaozhuang University Foundation

61902337KC21047SBK201904095319KJB520016ZR2020KE0012014BS132015YY02

2024

10.1007/s11704-023-2640-9

计算机科学前沿
高等教育出版社

计算机科学前沿

CSTPCDEI
影响因子：0.303
ISSN：2095-2228
年,卷(期)：2024.18(3)
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