200 related articles for article (PubMed ID: 30182830)
21. PRESS: PRotEin S-Sulfenylation server.
Sakka M; Tzortzis G; Mantzaris MD; Bekas N; Kellici TF; Likas A; Galaris D; Gerothanassis IP; Tzakos AG
Bioinformatics; 2016 Sep; 32(17):2710-2. PubMed ID: 27187205
[TBL] [Abstract][Full Text] [Related]
22. In situ visualization and detection of protein sulfenylation responses in living cells through a dimedone-based fluorescent probe.
Yin Q; Huang C; Zhang C; Zhu W; Xu Y; Qian X; Yang Y
Org Biomol Chem; 2013 Nov; 11(43):7566-73. PubMed ID: 24097070
[TBL] [Abstract][Full Text] [Related]
23. Pathways crossing mammalian and plant sulfenomic landscapes.
Huang J; Willems P; Van Breusegem F; Messens J
Free Radic Biol Med; 2018 Jul; 122():193-201. PubMed ID: 29476921
[TBL] [Abstract][Full Text] [Related]
24. predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue.
Hasan MA; Li J; Ahmad S; Molla MK
Anal Biochem; 2017 May; 525():107-113. PubMed ID: 28286168
[TBL] [Abstract][Full Text] [Related]
25. Chemical biology approaches to study protein cysteine sulfenylation.
Pan J; Carroll KS
Biopolymers; 2014 Feb; 101(2):165-72. PubMed ID: 23576224
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Sulfenylated proteins in the Medicago truncatula-Sinorhizobium meliloti symbiosis.
Oger E; Marino D; Guigonis JM; Pauly N; Puppo A
J Proteomics; 2012 Jul; 75(13):4102-13. PubMed ID: 22634402
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets.
Carmona R; Claros M; de Alché J
Methods Mol Biol; 2018; 1747():241-250. PubMed ID: 29600464
[TBL] [Abstract][Full Text] [Related]
30. Proteome-Wide Analysis of Cysteine S-Sulfenylation Using a Benzothiazine-Based Probe.
Fu L; Liu K; Ferreira RB; Carroll KS; Yang J
Curr Protoc Protein Sci; 2019 Feb; 95(1):e76. PubMed ID: 30312022
[TBL] [Abstract][Full Text] [Related]
31. A systematic identification of species-specific protein succinylation sites using joint element features information.
Hasan MM; Khatun MS; Mollah MNH; Yong C; Guo D
Int J Nanomedicine; 2017; 12():6303-6315. PubMed ID: 28894368
[TBL] [Abstract][Full Text] [Related]
32. PGluS: prediction of protein S-glutathionylation sites with multiple features and analysis.
Zhao X; Ning Q; Ai M; Chai H; Yin M
Mol Biosyst; 2015 Mar; 11(3):923-9. PubMed ID: 25599514
[TBL] [Abstract][Full Text] [Related]
33. Towards more accurate prediction of protein folding rates: a review of the existing Web-based bioinformatics approaches.
Chang CC; Tey BT; Song J; Ramanan RN
Brief Bioinform; 2015 Mar; 16(2):314-24. PubMed ID: 24621527
[TBL] [Abstract][Full Text] [Related]
34. Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.
Wuyun Q; Zheng W; Zhang Y; Ruan J; Hu G
PLoS One; 2016; 11(5):e0155370. PubMed ID: 27183223
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. 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]
37. 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]
38. 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]
39. 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]
40. 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]
[Previous] [Next] [New Search]
