These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
274 related articles for article (PubMed ID: 30576418)
1. Research progress in protein posttranslational modification site prediction. He W; Wei L; Zou Q Brief Funct Genomics; 2018 Jul; 18(4):220-229. PubMed ID: 30576418 [TBL] [Abstract][Full Text] [Related]
2. [Post-translational modification (PTM) bioinformatics in China: progresses and perspectives]. Liu ZX; Cai YD; Guo XJ; Li A; Li TT; Qiu JD; Ren J; Shi SP; Song JN; Wang MH; Xie L; Xue Y; Zhang ZD; Zhao XM Yi Chuan; 2015 Jul; 37(7):621-34. PubMed ID: 26351162 [TBL] [Abstract][Full Text] [Related]
3. A Systematic Review on Posttranslational Modification in Proteins: Feature Construction, Algorithm and Webserver. Xu Y; Yang Y; Wang Z; Li C; Shao Y Protein Pept Lett; 2018; 25(9):807-814. PubMed ID: 30255739 [TBL] [Abstract][Full Text] [Related]
4. A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination. Arumugam K; Sellappan M; Anand D; Anand S; Radhakrishnan SV Methods Mol Biol; 2022; 2496():179-202. PubMed ID: 35713865 [TBL] [Abstract][Full Text] [Related]
5. A comprehensive review of the imbalance classification of protein post-translational modifications. Dou L; Yang F; Xu L; Zou Q Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33834199 [TBL] [Abstract][Full Text] [Related]
6. PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile. Liu Y; Wang M; Xi J; Luo F; Li A Int J Biol Sci; 2018; 14(8):946-956. PubMed ID: 29989096 [TBL] [Abstract][Full Text] [Related]
7. Identification, Quantification, and Site Localization of Protein Posttranslational Modifications via Mass Spectrometry-Based Proteomics. Ke M; Shen H; Wang L; Luo S; Lin L; Yang J; Tian R Adv Exp Med Biol; 2016; 919():345-382. PubMed ID: 27975226 [TBL] [Abstract][Full Text] [Related]
8. Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. Chen Z; Liu X; Li F; Li C; Marquez-Lago T; Leier A; Akutsu T; Webb GI; Xu D; Smith AI; Li L; Chou KC; Song J Brief Bioinform; 2019 Nov; 20(6):2267-2290. PubMed ID: 30285084 [TBL] [Abstract][Full Text] [Related]
9. Machine learning-based approaches for ubiquitination site prediction in human proteins. Pourmirzaei M; Ramazi S; Esmaili F; Shojaeilangari S; Allahvardi A BMC Bioinformatics; 2023 Nov; 24(1):449. PubMed ID: 38017391 [TBL] [Abstract][Full Text] [Related]
10. Towards Computational Models of Identifying Protein Ubiquitination Sites. Wang L; Zhang R Curr Drug Targets; 2019; 20(5):565-578. PubMed ID: 30246637 [TBL] [Abstract][Full Text] [Related]
11. Chemical biology approaches for studying posttranslational modifications. Yang A; Cho K; Park HS RNA Biol; 2018; 15(4-5):427-440. PubMed ID: 28901832 [TBL] [Abstract][Full Text] [Related]
12. Web-Based Computational Tools for the Prediction and Analysis of Posttranslational Modifications of Proteins. Ivanisenko VA; Ivanisenko TV; Saik OV; Demenkov PS; Afonnikov DA; Kolchanov NA Methods Mol Biol; 2019; 1934():1-20. PubMed ID: 31256369 [TBL] [Abstract][Full Text] [Related]
13. A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions. Saethang T; Payne DM; Avihingsanon Y; Pisitkun T BMC Bioinformatics; 2016 Aug; 17(1):307. PubMed ID: 27534850 [TBL] [Abstract][Full Text] [Related]
14. PTM-X: Prediction of Post-Translational Modification Crosstalk Within and Across Proteins. Li Y; Huang Y; Li T Methods Mol Biol; 2022; 2499():275-283. PubMed ID: 35696086 [TBL] [Abstract][Full Text] [Related]
15. A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction. Esmaili F; Pourmirzaei M; Ramazi S; Shojaeilangari S; Yavari E Genomics Proteomics Bioinformatics; 2023 Dec; 21(6):1266-1285. PubMed ID: 37863385 [TBL] [Abstract][Full Text] [Related]
16. Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. Cai B; Jiang X BMC Bioinformatics; 2016 Mar; 17():116. PubMed ID: 26940649 [TBL] [Abstract][Full Text] [Related]
17. Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models - Development, Validation, and Interpretation. English N; Torres M Methods Mol Biol; 2022; 2499():221-260. PubMed ID: 35696084 [TBL] [Abstract][Full Text] [Related]
19. A general user interface for prediction servers of proteins' post-translational modification sites. Zhou F; Xue Y; Yao X; Xu Y Nat Protoc; 2006; 1(3):1318-21. PubMed ID: 17406417 [TBL] [Abstract][Full Text] [Related]
20. Proteomic analysis and prediction of amino acid variations that influence protein posttranslational modifications. Shi S; Wang L; Cao M; Chen G; Yu J Brief Bioinform; 2019 Sep; 20(5):1597-1606. PubMed ID: 29788276 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]