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Journal Abstract Search
369 related items for PubMed ID: 16419070
1. Prediction of buried helices in multispan alpha helical membrane proteins. Adamian L, Liang J. Proteins; 2006 Apr 01; 63(1):1-5. PubMed ID: 16419070 [Abstract] [Full Text] [Related]
2. How strongly do sequence conservation patterns and empirical scales correlate with exposure patterns of transmembrane helices of membrane proteins? Park Y, Helms V. Biopolymers; 2006 Nov 01; 83(4):389-99. PubMed ID: 16838301 [Abstract] [Full Text] [Related]
3. A knowledge-based scale for the analysis and prediction of buried and exposed faces of transmembrane domain proteins. Beuming T, Weinstein H. Bioinformatics; 2004 Aug 12; 20(12):1822-35. PubMed ID: 14988128 [Abstract] [Full Text] [Related]
4. 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]
9. Discrimination of outer membrane proteins using support vector machines. Park KJ, Gromiha MM, Horton P, Suwa M. Bioinformatics; 2005 Dec 01; 21(23):4223-9. PubMed ID: 16204348 [Abstract] [Full Text] [Related]
10. Statistical and molecular dynamics studies of buried waters in globular proteins. Park S, Saven JG. Proteins; 2005 Aug 15; 60(3):450-63. PubMed ID: 15937899 [Abstract] [Full Text] [Related]
13. 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]
14. Benchmarking of TASSER in the ab initio limit. Borreguero JM, Skolnick J. Proteins; 2007 Jul 01; 68(1):48-56. PubMed ID: 17444524 [Abstract] [Full Text] [Related]
19. kPROT: a knowledge-based scale for the propensity of residue orientation in transmembrane segments. Application to membrane protein structure prediction. Pilpel Y, Ben-Tal N, Lancet D. J Mol Biol; 1999 Dec 10; 294(4):921-35. PubMed ID: 10588897 [Abstract] [Full Text] [Related]
20. Native and modeled disulfide bonds in proteins: knowledge-based approaches toward structure prediction of disulfide-rich polypeptides. Thangudu RR, Vinayagam A, Pugalenthi G, Manonmani A, Offmann B, Sowdhamini R. Proteins; 2005 Mar 01; 58(4):866-79. PubMed ID: 15645448 [Abstract] [Full Text] [Related] Page: [Next] [New Search]