283 related articles for article (PubMed ID: 33672741)
1. PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations.
Auliah FN; Nilamyani AN; Shoombuatong W; Alam MA; Hasan MM; Kurata H
Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33672741
[TBL] [Abstract][Full Text] [Related]
2. Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.
Hasan MM; Zhou Y; Lu X; Li J; Song J; Zhang Z
PLoS One; 2015; 10(6):e0129635. PubMed ID: 26080082
[TBL] [Abstract][Full Text] [Related]
3. Prediction of pupylation sites using the composition of k-spaced amino acid pairs.
Tung CW
J Theor Biol; 2013 Nov; 336():11-7. PubMed ID: 23871866
[TBL] [Abstract][Full Text] [Related]
4. EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites.
Nan X; Bao L; Zhao X; Zhao X; Sangaiah AK; Wang GG; Ma Z
Molecules; 2017 Sep; 22(9):. PubMed ID: 28872627
[TBL] [Abstract][Full Text] [Related]
5. Positive-Unlabeled Learning for Pupylation Sites Prediction.
Jiang M; Cao JZ
Biomed Res Int; 2016; 2016():4525786. PubMed ID: 27579315
[TBL] [Abstract][Full Text] [Related]
6. Identifying Pupylation Proteins and Sites by Incorporating Multiple Methods.
Qiu WR; Guan MY; Wang QK; Lou LL; Xiao X
Front Endocrinol (Lausanne); 2022; 13():849549. PubMed ID: 35557849
[TBL] [Abstract][Full Text] [Related]
7. Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.
Ju Z; Gu H
Anal Biochem; 2016 Aug; 507():1-6. PubMed ID: 27197054
[TBL] [Abstract][Full Text] [Related]
8. Position-specific analysis and prediction of protein pupylation sites based on multiple features.
Zhao X; Dai J; Ning Q; Ma Z; Yin M; Sun P
Biomed Res Int; 2013; 2013():109549. PubMed ID: 24066285
[TBL] [Abstract][Full Text] [Related]
9. GPS-PUP: computational prediction of pupylation sites in prokaryotic proteins.
Liu Z; Ma Q; Cao J; Gao X; Ren J; Xue Y
Mol Biosyst; 2011 Oct; 7(10):2737-40. PubMed ID: 21850344
[TBL] [Abstract][Full Text] [Related]
10. PupDB: a database of pupylated proteins.
Tung CW
BMC Bioinformatics; 2012 Mar; 13():40. PubMed ID: 22424087
[TBL] [Abstract][Full Text] [Related]
11. Accurate in silico identification of protein succinylation sites using an iterative semi-supervised learning technique.
Zhao X; Ning Q; Chai H; Ma Z
J Theor Biol; 2015 Jun; 374():60-5. PubMed ID: 25843215
[TBL] [Abstract][Full Text] [Related]
12. IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations.
Hasan MM; Alam MA; Shoombuatong W; Kurata H
J Comput Aided Mol Des; 2021 Mar; 35(3):315-323. PubMed ID: 33392948
[TBL] [Abstract][Full Text] [Related]
13. PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids.
Singh V; Sharma A; Dehzangi A; Tsunoda T
Genes (Basel); 2020 Nov; 11(12):. PubMed ID: 33260770
[TBL] [Abstract][Full Text] [Related]
14. PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.
Nilamyani AN; Auliah FN; Moni MA; Shoombuatong W; Hasan MM; Kurata H
Int J Mol Sci; 2021 Mar; 22(5):. PubMed ID: 33800121
[TBL] [Abstract][Full Text] [Related]
15. nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning.
Chen YZ; Wang ZZ; Wang Y; Ying G; Chen Z; Song J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34002774
[TBL] [Abstract][Full Text] [Related]
16. Prediction of S-nitrosylation sites by integrating support vector machines and random forest.
Hasan MM; Manavalan B; Khatun MS; Kurata H
Mol Omics; 2019 Dec; 15(6):451-458. PubMed ID: 31710075
[TBL] [Abstract][Full Text] [Related]
17. Recognition of Protein Pupylation Sites by Adopting Resampling Approach.
Li T; Chen Y; Li T; Jia C
Molecules; 2018 Nov; 23(12):. PubMed ID: 30486421
[TBL] [Abstract][Full Text] [Related]
18. SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties.
Hasan MM; Yang S; Zhou Y; Mollah MN
Mol Biosyst; 2016 Mar; 12(3):786-95. PubMed ID: 26739209
[TBL] [Abstract][Full Text] [Related]
19. Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique.
Wei L; Xing P; Shi G; Ji Z; Zou Q
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1264-1273. PubMed ID: 28222000
[TBL] [Abstract][Full Text] [Related]
20. Pupylation as a signal for proteasomal degradation in bacteria.
Striebel F; Imkamp F; Özcelik D; Weber-Ban E
Biochim Biophys Acta; 2014 Jan; 1843(1):103-13. PubMed ID: 23557784
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
