162 related articles for article (PubMed ID: 24872426)
1. MoDPepInt: an interactive web server for prediction of modular domain-peptide interactions.
Kundu K; Mann M; Costa F; Backofen R
Bioinformatics; 2014 Sep; 30(18):2668-9. PubMed ID: 24872426
[TBL] [Abstract][Full Text] [Related]
2. LMDIPred: A web-server for prediction of linear peptide sequences binding to SH3, WW and PDZ domains.
Sarkar D; Jana T; Saha S
PLoS One; 2018; 13(7):e0200430. PubMed ID: 30001346
[TBL] [Abstract][Full Text] [Related]
3. A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains.
Kundu K; Costa F; Backofen R
Bioinformatics; 2013 Jul; 29(13):i335-43. PubMed ID: 23813002
[TBL] [Abstract][Full Text] [Related]
4. Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.
Kundu K; Costa F; Huber M; Reth M; Backofen R
PLoS One; 2013; 8(5):e62732. PubMed ID: 23690949
[TBL] [Abstract][Full Text] [Related]
5. Characterization of domain-peptide interaction interface: a case study on the amphiphysin-1 SH3 domain.
Hou T; Zhang W; Case DA; Wang W
J Mol Biol; 2008 Feb; 376(4):1201-14. PubMed ID: 18206907
[TBL] [Abstract][Full Text] [Related]
6. Cluster based prediction of PDZ-peptide interactions.
Kundu K; Backofen R
BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S5. PubMed ID: 24564547
[TBL] [Abstract][Full Text] [Related]
7. DomPep--a general method for predicting modular domain-mediated protein-protein interactions.
Li L; Zhao B; Du J; Zhang K; Ling CX; Li SS
PLoS One; 2011; 6(10):e25528. PubMed ID: 22003397
[TBL] [Abstract][Full Text] [Related]
8. SH2 Ligand Prediction-Guidance for In-Silico Screening.
Li SS; Li L
Methods Mol Biol; 2017; 1555():77-81. PubMed ID: 28092028
[TBL] [Abstract][Full Text] [Related]
9. SH3-Hunter: discovery of SH3 domain interaction sites in proteins.
Ferraro E; Peluso D; Via A; Ausiello G; Helmer-Citterich M
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W451-4. PubMed ID: 17485474
[TBL] [Abstract][Full Text] [Related]
10. ADAN: a database for prediction of protein-protein interaction of modular domains mediated by linear motifs.
Encinar JA; Fernandez-Ballester G; Sánchez IE; Hurtado-Gomez E; Stricher F; Beltrao P; Serrano L
Bioinformatics; 2009 Sep; 25(18):2418-24. PubMed ID: 19602529
[TBL] [Abstract][Full Text] [Related]
11. The SH3 domain of nebulin binds selectively to type II peptides: theoretical prediction and experimental validation.
Politou AS; Spadaccini R; Joseph C; Brannetti B; Guerrini R; Helmer-Citterich M; Salvadori S; Temussi PA; Pastore A
J Mol Biol; 2002 Feb; 316(2):305-15. PubMed ID: 11851340
[TBL] [Abstract][Full Text] [Related]
12. CPSP-web-tools: a server for 3D lattice protein studies.
Mann M; Smith C; Rabbath M; Edwards M; Will S; Backofen R
Bioinformatics; 2009 Mar; 25(5):676-7. PubMed ID: 19151096
[TBL] [Abstract][Full Text] [Related]
13. An Efficient Semi-supervised Learning Approach to Predict SH2 Domain Mediated Interactions.
Kundu K; Backofen R
Methods Mol Biol; 2017; 1555():83-97. PubMed ID: 28092029
[TBL] [Abstract][Full Text] [Related]
14. Computational analysis and prediction of the binding motif and protein interacting partners of the Abl SH3 domain.
Hou T; Chen K; McLaughlin WA; Lu B; Wang W
PLoS Comput Biol; 2006 Jan; 2(1):e1. PubMed ID: 16446784
[TBL] [Abstract][Full Text] [Related]
15. Predicting PDZ domain mediated protein interactions from structure.
Hui S; Xing X; Bader GD
BMC Bioinformatics; 2013 Jan; 14():27. PubMed ID: 23336252
[TBL] [Abstract][Full Text] [Related]
16. Characterization of domain-peptide interaction interface: a generic structure-based model to decipher the binding specificity of SH3 domains.
Hou T; Xu Z; Zhang W; McLaughlin WA; Case DA; Xu Y; Wang W
Mol Cell Proteomics; 2009 Apr; 8(4):639-49. PubMed ID: 19023120
[TBL] [Abstract][Full Text] [Related]
17. Characterization of PDZ domain-peptide interaction interface based on energetic patterns.
Li N; Hou T; Ding B; Wang W
Proteins; 2011 Nov; 79(11):3208-20. PubMed ID: 21928318
[TBL] [Abstract][Full Text] [Related]
18. Structure-based characterization of the binding of peptide to the human endophilin-1 Src homology 3 domain using position-dependent noncovalent potential analysis.
Fu C; Wu G; Lv F; Tian F
J Mol Model; 2012 May; 18(5):2153-61. PubMed ID: 21947444
[TBL] [Abstract][Full Text] [Related]
19. A sequence-based computational approach to predicting PDZ domain-peptide interactions.
Nakariyakul S; Liu ZP; Chen L
Biochim Biophys Acta; 2014 Jan; 1844(1 Pt B):165-70. PubMed ID: 23608946
[TBL] [Abstract][Full Text] [Related]
20. A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.
Shao X; Tan CS; Voss C; Li SS; Deng N; Bader GD
Bioinformatics; 2011 Feb; 27(3):383-90. PubMed ID: 21127034
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
