iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
Sumoylation is the post-translational modification that is involved in the adaption of the cells and the functional properties of a large number of proteins. Sumoylation has key importance in subcellular concentration, transcriptional synchronization, chromatin remodeling, response to stress, and re...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2021-08-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/11581.pdf |
| _version_ | 1827611460986994688 |
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| author | Yaser Daanial Khan Nabeel Sabir Khan Sheraz Naseer Ahmad Hassan Butt |
| author_facet | Yaser Daanial Khan Nabeel Sabir Khan Sheraz Naseer Ahmad Hassan Butt |
| author_sort | Yaser Daanial Khan |
| collection | DOAJ |
| description | Sumoylation is the post-translational modification that is involved in the adaption of the cells and the functional properties of a large number of proteins. Sumoylation has key importance in subcellular concentration, transcriptional synchronization, chromatin remodeling, response to stress, and regulation of mitosis. Sumoylation is associated with developmental defects in many human diseases such as cancer, Huntington’s, Alzheimer’s, Parkinson’s, Spin cerebellar ataxia 1, and amyotrophic lateral sclerosis. The covalent bonding of Sumoylation is essential to inheriting part of the operative characteristics of some other proteins. For that reason, the prediction of the Sumoylation site has significance in the scientific community. A novel and efficient technique is proposed to predict the Sumoylation sites in proteins by incorporating Chou’s Pseudo Amino Acid Composition (PseAAC) with statistical moments-based features. The outcomes from the proposed system using 10 fold cross-validation testing are 94.51%, 94.24%, 94.79% and 0.8903% accuracy, sensitivity, specificity and MCC, respectively. The performance of the proposed system is so far the best in comparison to the other state-of-the-art methods. The codes for the current study are available on the GitHub repository using the link: https://github.com/csbioinfopk/iSumoK-PseAAC. |
| first_indexed | 2024-03-09T08:06:35Z |
| format | Article |
| id | doaj.art-8c21bc6753824862a80458228917ab59 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T08:06:35Z |
| publishDate | 2021-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-8c21bc6753824862a80458228917ab592023-12-02T23:47:27ZengPeerJ Inc.PeerJ2167-83592021-08-019e1158110.7717/peerj.11581iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAACYaser Daanial KhanNabeel Sabir KhanSheraz NaseerAhmad Hassan ButtSumoylation is the post-translational modification that is involved in the adaption of the cells and the functional properties of a large number of proteins. Sumoylation has key importance in subcellular concentration, transcriptional synchronization, chromatin remodeling, response to stress, and regulation of mitosis. Sumoylation is associated with developmental defects in many human diseases such as cancer, Huntington’s, Alzheimer’s, Parkinson’s, Spin cerebellar ataxia 1, and amyotrophic lateral sclerosis. The covalent bonding of Sumoylation is essential to inheriting part of the operative characteristics of some other proteins. For that reason, the prediction of the Sumoylation site has significance in the scientific community. A novel and efficient technique is proposed to predict the Sumoylation sites in proteins by incorporating Chou’s Pseudo Amino Acid Composition (PseAAC) with statistical moments-based features. The outcomes from the proposed system using 10 fold cross-validation testing are 94.51%, 94.24%, 94.79% and 0.8903% accuracy, sensitivity, specificity and MCC, respectively. The performance of the proposed system is so far the best in comparison to the other state-of-the-art methods. The codes for the current study are available on the GitHub repository using the link: https://github.com/csbioinfopk/iSumoK-PseAAC.https://peerj.com/articles/11581.pdfPost translation modificationLysine SumoylationComputational protemicsNeural networksStatistical momentsHahn moments |
| spellingShingle | Yaser Daanial Khan Nabeel Sabir Khan Sheraz Naseer Ahmad Hassan Butt iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC PeerJ Post translation modification Lysine Sumoylation Computational protemics Neural networks Statistical moments Hahn moments |
| title | iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC |
| title_full | iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC |
| title_fullStr | iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC |
| title_full_unstemmed | iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC |
| title_short | iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC |
| title_sort | isumok pseaac prediction of lysine sumoylation sites using statistical moments and chou s pseaac |
| topic | Post translation modification Lysine Sumoylation Computational protemics Neural networks Statistical moments Hahn moments |
| url | https://peerj.com/articles/11581.pdf |
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