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589 related items for PubMed ID: 15281128
1. Accurate prediction of solvent accessibility using neural networks-based regression. Adamczak R, Porollo A, Meller J. Proteins; 2004 Sep 01; 56(4):753-67. PubMed ID: 15281128 [Abstract] [Full Text] [Related]
2. Combining prediction of secondary structure and solvent accessibility in proteins. Adamczak R, Porollo A, Meller J. Proteins; 2005 May 15; 59(3):467-75. PubMed ID: 15768403 [Abstract] [Full Text] [Related]
3. Prediction-based fingerprints of protein-protein interactions. Porollo A, Meller J. Proteins; 2007 Feb 15; 66(3):630-45. PubMed ID: 17152079 [Abstract] [Full Text] [Related]
6. Combining evolutionary and structural information for local protein structure prediction. Pei J, Grishin NV. Proteins; 2004 Sep 01; 56(4):782-94. PubMed ID: 15281130 [Abstract] [Full Text] [Related]
7. Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training. Dor O, Zhou Y. Proteins; 2007 Mar 01; 66(4):838-45. PubMed ID: 17177203 [Abstract] [Full Text] [Related]
8. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure. Garg A, Kaur H, Raghava GP. Proteins; 2005 Nov 01; 61(2):318-24. PubMed ID: 16106377 [Abstract] [Full Text] [Related]
9. SVM-Cabins: prediction of solvent accessibility using accumulation cutoff set and support vector machine. Wang JY, Lee HM, Ahmad S. Proteins; 2007 Jul 01; 68(1):82-91. PubMed ID: 17436325 [Abstract] [Full Text] [Related]
10. [Prediction of protein solvent accessibility with Markov chain model]. Wang M, Li A, Wang X, Feng H. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Oct 01; 23(5):1109-13. PubMed ID: 17121365 [Abstract] [Full Text] [Related]
11. Real-SPINE: an integrated system of neural networks for real-value prediction of protein structural properties. Dor O, Zhou Y. Proteins; 2007 Jul 01; 68(1):76-81. PubMed ID: 17397056 [Abstract] [Full Text] [Related]
12. Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers. Barenboim M, Masso M, Vaisman II, Jamison DC. Proteins; 2008 Jun 01; 71(4):1930-9. PubMed ID: 18186470 [Abstract] [Full Text] [Related]
13. Conservation and prediction of solvent accessibility in protein families. Rost B, Sander C. Proteins; 1994 Nov 01; 20(3):216-26. PubMed ID: 7892171 [Abstract] [Full Text] [Related]
14. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods. Natt NK, Kaur H, Raghava GP. Proteins; 2004 Jul 01; 56(1):11-8. PubMed ID: 15162482 [Abstract] [Full Text] [Related]
15. Prediction of distant residue contacts with the use of evolutionary information. Vicatos S, Reddy BV, Kaznessis Y. Proteins; 2005 Mar 01; 58(4):935-49. PubMed ID: 15645442 [Abstract] [Full Text] [Related]
16. Prediction of protein solvent accessibility using support vector machines. Yuan Z, Burrage K, Mattick JS. Proteins; 2002 Aug 15; 48(3):566-70. PubMed ID: 12112679 [Abstract] [Full Text] [Related]
17. Variable predictive model based classification algorithm for effective separation of protein structural classes. Raghuraj R, Lakshminarayanan S. Comput Biol Chem; 2008 Aug 15; 32(4):302-6. PubMed ID: 18462997 [Abstract] [Full Text] [Related]
18. Linear regression models for solvent accessibility prediction in proteins. Wagner M, Adamczak R, Porollo A, Meller J. J Comput Biol; 2005 Apr 15; 12(3):355-69. PubMed ID: 15857247 [Abstract] [Full Text] [Related]
19. [Analysis, identification and correction of some errors of model refseqs appeared in NCBI Human Gene Database by in silico cloning and experimental verification of novel human genes]. Zhang DL, Ji L, Li YD. Yi Chuan Xue Bao; 2004 May 15; 31(5):431-43. PubMed ID: 15478601 [Abstract] [Full Text] [Related]
20. Prediction of turn types in protein structure by machine-learning classifiers. Meissner M, Koch O, Klebe G, Schneider G. Proteins; 2009 Feb 01; 74(2):344-52. PubMed ID: 18618702 [Abstract] [Full Text] [Related] Page: [Next] [New Search]