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Journal Abstract Search
110 related items for PubMed ID: 15706503
1. PreSPI: design and implementation of protein-protein interaction prediction service system. Han DS, Kim HS, Jang WH, Lee SD, Suh JK. Genome Inform; 2004; 15(2):171-80. PubMed ID: 15706503 [Abstract] [Full Text] [Related]
2. PreSPI: a domain combination based prediction system for protein-protein interaction. Han DS, Kim HS, Jang WH, Lee SD, Suh JK. Nucleic Acids Res; 2004; 32(21):6312-20. PubMed ID: 15576357 [Abstract] [Full Text] [Related]
3. A domain combination based probabilistic framework for protein-protein interaction prediction. Han D, Kim HS, Seo J, Jang W. Genome Inform; 2003; 14():250-9. PubMed ID: 15706539 [Abstract] [Full Text] [Related]
4. Inter-species validation for domain combination based protein-protein interaction prediction method. Jang WH, Han DS, Kim HS, Lee SD. Genome Inform; 2005; 16(2):136-47. PubMed ID: 16901097 [Abstract] [Full Text] [Related]
5. Large scale statistical prediction of protein-protein interaction by potentially interacting domain (PID) pair. Kim WK, Park J, Suh JK. Genome Inform; 2002; 13():42-50. PubMed ID: 14571373 [Abstract] [Full Text] [Related]
6. CABIN: collective analysis of biological interaction networks. Singhal M, Domico K. Comput Biol Chem; 2007 Jun; 31(3):222-5. PubMed ID: 17500038 [Abstract] [Full Text] [Related]
8. Probabilistic prediction and ranking of human protein-protein interactions. Scott MS, Barton GJ. BMC Bioinformatics; 2007 Jul 05; 8():239. PubMed ID: 17615067 [Abstract] [Full Text] [Related]
9. Computational analysis of human protein interaction networks. Ramírez F, Schlicker A, Assenov Y, Lengauer T, Albrecht M. Proteomics; 2007 Aug 05; 7(15):2541-52. PubMed ID: 17647236 [Abstract] [Full Text] [Related]
10. Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy. Tuncbag N, Gursoy A, Keskin O. Bioinformatics; 2009 Jun 15; 25(12):1513-20. PubMed ID: 19357097 [Abstract] [Full Text] [Related]
11. AVID: an integrative framework for discovering functional relationships among proteins. Jiang T, Keating AE. BMC Bioinformatics; 2005 Jun 01; 6():136. PubMed ID: 15929793 [Abstract] [Full Text] [Related]
12. Kernel methods for predicting protein-protein interactions. Ben-Hur A, Noble WS. Bioinformatics; 2005 Jun 01; 21 Suppl 1():i38-46. PubMed ID: 15961482 [Abstract] [Full Text] [Related]
13. SPIDer: Saccharomyces protein-protein interaction database. Wu X, Zhu L, Guo J, Fu C, Zhou H, Dong D, Li Z, Zhang DY, Lin K. BMC Bioinformatics; 2006 Dec 18; 7 Suppl 5(Suppl 5):S16. PubMed ID: 17254300 [Abstract] [Full Text] [Related]
15. Prediction of protein subcellular localization. Yu CS, Chen YC, Lu CH, Hwang JK. Proteins; 2006 Aug 15; 64(3):643-51. PubMed ID: 16752418 [Abstract] [Full Text] [Related]
16. Globally predicting protein functions based on co-expressed protein-protein interaction networks and ontology taxonomy similarities. Zhu M, Gao L, Guo Z, Li Y, Wang D, Wang J, Wang C. Gene; 2007 Apr 15; 391(1-2):113-9. PubMed ID: 17289301 [Abstract] [Full Text] [Related]
20. Evaluation of different domain-based methods in protein interaction prediction. Ta HX, Holm L. Biochem Biophys Res Commun; 2009 Dec 18; 390(3):357-62. PubMed ID: 19800868 [Abstract] [Full Text] [Related] Page: [Next] [New Search]