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.
150 related articles for article (PubMed ID: 25791288)
1. Discovering short linear protein motif based on selective training of profile hidden Markov models. Song T; Gu H J Theor Biol; 2015 Jul; 377():75-84. PubMed ID: 25791288 [TBL] [Abstract][Full Text] [Related]
2. Bioinformatics Approaches for Predicting Disordered Protein Motifs. Bhowmick P; Guharoy M; Tompa P Adv Exp Med Biol; 2015; 870():291-318. PubMed ID: 26387106 [TBL] [Abstract][Full Text] [Related]
3. Computational prediction of short linear motifs from protein sequences. Edwards RJ; Palopoli N Methods Mol Biol; 2015; 1268():89-141. PubMed ID: 25555723 [TBL] [Abstract][Full Text] [Related]
4. Masking residues using context-specific evolutionary conservation significantly improves short linear motif discovery. Davey NE; Shields DC; Edwards RJ Bioinformatics; 2009 Feb; 25(4):443-50. PubMed ID: 19136552 [TBL] [Abstract][Full Text] [Related]
5. Computational Prediction of Disordered Protein Motifs Using SLiMSuite. Edwards RJ; Paulsen K; Aguilar Gomez CM; Pérez-Bercoff Å Methods Mol Biol; 2020; 2141():37-72. PubMed ID: 32696352 [TBL] [Abstract][Full Text] [Related]
6. Computational identification and analysis of protein short linear motifs. Davey NE; Edwards RJ; Shields DC Front Biosci (Landmark Ed); 2010 Jun; 15(3):801-25. PubMed ID: 20515727 [TBL] [Abstract][Full Text] [Related]
7. Attributes of short linear motifs. Davey NE; Van Roey K; Weatheritt RJ; Toedt G; Uyar B; Altenberg B; Budd A; Diella F; Dinkel H; Gibson TJ Mol Biosyst; 2012 Jan; 8(1):268-81. PubMed ID: 21909575 [TBL] [Abstract][Full Text] [Related]
8. Profile-based short linear protein motif discovery. Haslam NJ; Shields DC BMC Bioinformatics; 2012 May; 13():104. PubMed ID: 22607209 [TBL] [Abstract][Full Text] [Related]
9. Combined prediction of transmembrane topology and signal peptide of beta-barrel proteins: using a hidden Markov model and genetic algorithms. Zou L; Wang Z; Wang Y; Hu F Comput Biol Med; 2010 Jul; 40(7):621-8. PubMed ID: 20488436 [TBL] [Abstract][Full Text] [Related]
10. HH-MOTiF: de novo detection of short linear motifs in proteins by Hidden Markov Model comparisons. Prytuliak R; Volkmer M; Meier M; Habermann BH Nucleic Acids Res; 2017 Jul; 45(W1):W470-W477. PubMed ID: 28460141 [TBL] [Abstract][Full Text] [Related]
11. The conservation pattern of short linear motifs is highly correlated with the function of interacting protein domains. Ren S; Yang G; He Y; Wang Y; Li Y; Chen Z BMC Genomics; 2008 Oct; 9():452. PubMed ID: 18828911 [TBL] [Abstract][Full Text] [Related]
12. Predicting MoRFs in protein sequences using HMM profiles. Sharma R; Kumar S; Tsunoda T; Patil A; Sharma A BMC Bioinformatics; 2016 Dec; 17(Suppl 19):504. PubMed ID: 28155710 [TBL] [Abstract][Full Text] [Related]
13. Short Linear Motifs recognized by SH2, SH3 and Ser/Thr Kinase domains are conserved in disordered protein regions. Ren S; Uversky VN; Chen Z; Dunker AK; Obradovic Z BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S26. PubMed ID: 18831792 [TBL] [Abstract][Full Text] [Related]
14. SLiMFinder: a probabilistic method for identifying over-represented, convergently evolved, short linear motifs in proteins. Edwards RJ; Davey NE; Shields DC PLoS One; 2007 Oct; 2(10):e967. PubMed ID: 17912346 [TBL] [Abstract][Full Text] [Related]
15. SLiMSearch: a framework for proteome-wide discovery and annotation of functional modules in intrinsically disordered regions. Krystkowiak I; Davey NE Nucleic Acids Res; 2017 Jul; 45(W1):W464-W469. PubMed ID: 28387819 [TBL] [Abstract][Full Text] [Related]
16. Evolutionarily conserved and conformationally constrained short peptides might serve as DNA recognition elements in intrinsically disordered regions. Tayal N; Choudhary P; Pandit SB; Sandhu KS Mol Biosyst; 2014 Jun; 10(6):1469-80. PubMed ID: 24668165 [TBL] [Abstract][Full Text] [Related]
17. D-SLIMMER: domain-SLiM interaction motifs miner for sequence based protein-protein interaction data. Hugo W; Ng SK; Sung WK J Proteome Res; 2011 Dec; 10(12):5285-95. PubMed ID: 22004555 [TBL] [Abstract][Full Text] [Related]
18. HMM-ModE--improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying emission probabilities with negative training sequences. Srivastava PK; Desai DK; Nandi S; Lynn AM BMC Bioinformatics; 2007 Mar; 8():104. PubMed ID: 17389042 [TBL] [Abstract][Full Text] [Related]
19. Improving profile HMM discrimination by adapting transition probabilities. Wistrand M; Sonnhammer EL J Mol Biol; 2004 May; 338(4):847-54. PubMed ID: 15099750 [TBL] [Abstract][Full Text] [Related]
20. The SLiMDisc server: short, linear motif discovery in proteins. Davey NE; Edwards RJ; Shields DC Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W455-9. PubMed ID: 17576682 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]