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236 related items for PubMed ID: 17174938
1. Using amino acid and peptide composition to predict membrane protein types. Yang XG, Luo RY, Feng ZP. Biochem Biophys Res Commun; 2007 Feb 02; 353(1):164-9. PubMed ID: 17174938 [Abstract] [Full Text] [Related]
2. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types. Shen H, Chou KC. Biochem Biophys Res Commun; 2005 Aug 19; 334(1):288-92. PubMed ID: 16002049 [Abstract] [Full Text] [Related]
3. MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. Chou KC, Shen HB. Biochem Biophys Res Commun; 2007 Aug 24; 360(2):339-45. PubMed ID: 17586467 [Abstract] [Full Text] [Related]
4. Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition. Wang M, Yang J, Liu GP, Xu ZJ, Chou KC. Protein Eng Des Sel; 2004 Jun 24; 17(6):509-16. PubMed ID: 15314209 [Abstract] [Full Text] [Related]
5. Predicting membrane protein type by functional domain composition and pseudo-amino acid composition. Cai YD, Chou KC. J Theor Biol; 2006 Jan 21; 238(2):395-400. PubMed ID: 16040052 [Abstract] [Full Text] [Related]
6. Prediction of membrane protein types by incorporating amphipathic effects. Chou KC, Cai YD. J Chem Inf Model; 2005 Jan 21; 45(2):407-13. PubMed ID: 15807506 [Abstract] [Full Text] [Related]
7. On the derivation of propensity scales for predicting exposed transmembrane residues of helical membrane proteins. Park Y, Helms V. Bioinformatics; 2007 Mar 15; 23(6):701-8. PubMed ID: 17237049 [Abstract] [Full Text] [Related]
8. Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition. Wang SQ, Yang J, Chou KC. J Theor Biol; 2006 Oct 21; 242(4):941-6. PubMed ID: 16806277 [Abstract] [Full Text] [Related]
9. Prediction of membrane protein types and subcellular locations. Chou KC, Elrod DW. Proteins; 1999 Jan 01; 34(1):137-53. PubMed ID: 10336379 [Abstract] [Full Text] [Related]
10. Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition. Shen HB, Yang J, Chou KC. J Theor Biol; 2006 May 07; 240(1):9-13. PubMed ID: 16197963 [Abstract] [Full Text] [Related]
11. Prediction of the burial status of transmembrane residues of helical membrane proteins. Park Y, Hayat S, Helms V. BMC Bioinformatics; 2007 Aug 20; 8():302. PubMed ID: 17708758 [Abstract] [Full Text] [Related]
12. OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar. Viklund H, Elofsson A. Bioinformatics; 2008 Aug 01; 24(15):1662-8. PubMed ID: 18474507 [Abstract] [Full Text] [Related]
13. Using pseudo amino acid composition to predict transmembrane regions in protein: cellular automata and Lempel-Ziv complexity. Diao Y, Ma D, Wen Z, Yin J, Xiang J, Li M. Amino Acids; 2008 Jan 01; 34(1):111-7. PubMed ID: 17520325 [Abstract] [Full Text] [Related]
14. ZPRED: predicting the distance to the membrane center for residues in alpha-helical membrane proteins. Granseth E, Viklund H, Elofsson A. Bioinformatics; 2006 Jul 15; 22(14):e191-6. PubMed ID: 16873471 [Abstract] [Full Text] [Related]
15. An ensemble of support vector machines for predicting the membrane protein type directly from the amino acid sequence. Nanni L, Lumini A. Amino Acids; 2008 Oct 15; 35(3):573-80. PubMed ID: 18427715 [Abstract] [Full Text] [Related]
16. Prediction of DNA-binding residues from sequence. Ofran Y, Mysore V, Rost B. Bioinformatics; 2007 Jul 01; 23(13):i347-53. PubMed ID: 17646316 [Abstract] [Full Text] [Related]
17. Predicting membrane protein types using residue-pair models based on reduced similarity dataset. Yang XG, Feng ZP. J Biomol Struct Dyn; 2002 Oct 01; 20(2):163-72. PubMed ID: 12354068 [Abstract] [Full Text] [Related]
18. Low-frequency Fourier spectrum for predicting membrane protein types. Liu H, Wang M, Chou KC. Biochem Biophys Res Commun; 2005 Oct 28; 336(3):737-9. PubMed ID: 16140260 [Abstract] [Full Text] [Related]
19. Hydropathy analysis to correlate structure and function of proteins. Damodharan L, Pattabhi V. Biochem Biophys Res Commun; 2004 Oct 22; 323(3):996-1002. PubMed ID: 15381098 [Abstract] [Full Text] [Related]
20. Support vector machines for predicting membrane protein types by using functional domain composition. Cai YD, Zhou GP, Chou KC. Biophys J; 2003 May 22; 84(5):3257-63. PubMed ID: 12719255 [Abstract] [Full Text] [Related] Page: [Next] [New Search]