These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
155 related articles for article (PubMed ID: 17951834)
1. fRMSDPred: predicting local RMSD between structural fragments using sequence information. Rangwala H; Karypis G Comput Syst Bioinformatics Conf; 2007; 6():311-22. PubMed ID: 17951834 [TBL] [Abstract][Full Text] [Related]
2. fRMSDPred: predicting local RMSD between structural fragments using sequence information. Rangwala H; Karypis G Proteins; 2008 Aug; 72(3):1005-18. PubMed ID: 18300251 [TBL] [Abstract][Full Text] [Related]
3. Using an alignment of fragment strings for comparing protein structures. Friedberg I; Harder T; Kolodny R; Sitbon E; Li Z; Godzik A Bioinformatics; 2007 Jan; 23(2):e219-24. PubMed ID: 17237095 [TBL] [Abstract][Full Text] [Related]
5. Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models? Taly JF; Marin A; Gibrat JF BMC Bioinformatics; 2008 Jan; 9():6. PubMed ID: 18179702 [TBL] [Abstract][Full Text] [Related]
6. Gaussian-weighted RMSD superposition of proteins: a structural comparison for flexible proteins and predicted protein structures. Damm KL; Carlson HA Biophys J; 2006 Jun; 90(12):4558-73. PubMed ID: 16565070 [TBL] [Abstract][Full Text] [Related]
7. Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models. Lyons J; Dehzangi A; Heffernan R; Yang Y; Zhou Y; Sharma A; Paliwal K IEEE Trans Nanobioscience; 2015 Oct; 14(7):761-72. PubMed ID: 26208362 [TBL] [Abstract][Full Text] [Related]
8. A coarse-grained Langevin molecular dynamics approach to de novo protein structure prediction. Sasaki TN; Cetin H; Sasai M Biochem Biophys Res Commun; 2008 May; 369(2):500-6. PubMed ID: 18294960 [TBL] [Abstract][Full Text] [Related]
9. Predicting residue-wise contact orders in proteins by support vector regression. Song J; Burrage K BMC Bioinformatics; 2006 Oct; 7():425. PubMed ID: 17014735 [TBL] [Abstract][Full Text] [Related]
10. Prediction of protein structure classes with flexible neural tree. Bao W; Chen Y; Wang D Biomed Mater Eng; 2014; 24(6):3797-806. PubMed ID: 25227096 [TBL] [Abstract][Full Text] [Related]
11. Protein backbone angle prediction with machine learning approaches. Kuang R; Leslie CS; Yang AS Bioinformatics; 2004 Jul; 20(10):1612-21. PubMed ID: 14988121 [TBL] [Abstract][Full Text] [Related]
12. Comparison of probabilistic combination methods for protein secondary structure prediction. Liu Y; Carbonell J; Klein-Seetharaman J; Gopalakrishnan V Bioinformatics; 2004 Nov; 20(17):3099-107. PubMed ID: 15217817 [TBL] [Abstract][Full Text] [Related]
13. PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Chen K; Kurgan L Bioinformatics; 2007 Nov; 23(21):2843-50. PubMed ID: 17942446 [TBL] [Abstract][Full Text] [Related]
14. Defining and computing optimum RMSD for gapped and weighted multiple-structure alignment. Wang X; Snoeyink J IEEE/ACM Trans Comput Biol Bioinform; 2008; 5(4):525-33. PubMed ID: 18989040 [TBL] [Abstract][Full Text] [Related]
15. Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction. Scheeff ED; Bourne PE BMC Bioinformatics; 2006 Sep; 7():410. PubMed ID: 16970830 [TBL] [Abstract][Full Text] [Related]
17. A novel exhaustive search algorithm for predicting the conformation of polypeptide segments in proteins. Deane CM; Blundell TL Proteins; 2000 Jul; 40(1):135-44. PubMed ID: 10813838 [TBL] [Abstract][Full Text] [Related]
18. Improved method for predicting beta-turn using support vector machine. Zhang Q; Yoon S; Welsh WJ Bioinformatics; 2005 May; 21(10):2370-4. PubMed ID: 15797917 [TBL] [Abstract][Full Text] [Related]
19. Modeling protein loops with knowledge-based prediction of sequence-structure alignment. Peng HP; Yang AS Bioinformatics; 2007 Nov; 23(21):2836-42. PubMed ID: 17827204 [TBL] [Abstract][Full Text] [Related]
20. A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins. Hvidsten TR; Kryshtafovych A; Komorowski J; Fidelis K Bioinformatics; 2003 Oct; 19 Suppl 2():ii81-91. PubMed ID: 14534176 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]