216 related articles for article (PubMed ID: 18214956)
1. Real-value prediction of backbone torsion angles.
Xue B; Dor O; Faraggi E; Zhou Y
Proteins; 2008 Jul; 72(1):427-33. PubMed ID: 18214956
[TBL] [Abstract][Full Text] [Related]
2. Real-SPINE: an integrated system of neural networks for real-value prediction of protein structural properties.
Dor O; Zhou Y
Proteins; 2007 Jul; 68(1):76-81. PubMed ID: 17397056
[TBL] [Abstract][Full Text] [Related]
3. Fluctuations of backbone torsion angles obtained from NMR-determined structures and their prediction.
Zhang T; Faraggi E; Zhou Y
Proteins; 2010 Dec; 78(16):3353-62. PubMed ID: 20818661
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive analysis of the helix-X-helix motif in soluble proteins.
Deville J; Rey J; Chabbert M
Proteins; 2008 Jul; 72(1):115-35. PubMed ID: 18214950
[TBL] [Abstract][Full Text] [Related]
5. Accurate prediction of protein torsion angles using chemical shifts and sequence homology.
Neal S; Berjanskii M; Zhang H; Wishart DS
Magn Reson Chem; 2006 Jul; 44 Spec No():S158-67. PubMed ID: 16823900
[TBL] [Abstract][Full Text] [Related]
6. LOCUSTRA: accurate prediction of local protein structure using a two-layer support vector machine approach.
Zimmermann O; Hansmann UH
J Chem Inf Model; 2008 Sep; 48(9):1903-8. PubMed ID: 18763837
[TBL] [Abstract][Full Text] [Related]
7. Combining prediction of secondary structure and solvent accessibility in proteins.
Adamczak R; Porollo A; Meller J
Proteins; 2005 May; 59(3):467-75. PubMed ID: 15768403
[TBL] [Abstract][Full Text] [Related]
8. ANGLOR: a composite machine-learning algorithm for protein backbone torsion angle prediction.
Wu S; Zhang Y
PLoS One; 2008; 3(10):e3400. PubMed ID: 18923703
[TBL] [Abstract][Full Text] [Related]
9. Accurate prediction of solvent accessibility using neural networks-based regression.
Adamczak R; Porollo A; Meller J
Proteins; 2004 Sep; 56(4):753-67. PubMed ID: 15281128
[TBL] [Abstract][Full Text] [Related]
10. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure.
Garg A; Kaur H; Raghava GP
Proteins; 2005 Nov; 61(2):318-24. PubMed ID: 16106377
[TBL] [Abstract][Full Text] [Related]
11. Comparison between the phi distribution of the amino acids in the protein database and NMR data indicates that amino acids have various phi propensities in the random coil conformation.
Serrano L
J Mol Biol; 1995 Nov; 254(2):322-33. PubMed ID: 7490751
[TBL] [Abstract][Full Text] [Related]
12. Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.
Heffernan R; Paliwal K; Lyons J; Dehzangi A; Sharma A; Wang J; Sattar A; Yang Y; Zhou Y
Sci Rep; 2015 Jun; 5():11476. PubMed ID: 26098304
[TBL] [Abstract][Full Text] [Related]
13. Real value prediction of solvent accessibility from amino acid sequence.
Ahmad S; Gromiha MM; Sarai A
Proteins; 2003 Mar; 50(4):629-35. PubMed ID: 12577269
[TBL] [Abstract][Full Text] [Related]
14. Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network.
Faraggi E; Xue B; Zhou Y
Proteins; 2009 Mar; 74(4):847-56. PubMed ID: 18704931
[TBL] [Abstract][Full Text] [Related]
15. TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences.
Song J; Tan H; Wang M; Webb GI; Akutsu T
PLoS One; 2012; 7(2):e30361. PubMed ID: 22319565
[TBL] [Abstract][Full Text] [Related]
16. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
Garg A; Raghava GP
In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
[TBL] [Abstract][Full Text] [Related]
17. Analysis of main chain torsion angles in proteins: prediction of NMR coupling constants for native and random coil conformations.
Smith LJ; Bolin KA; Schwalbe H; MacArthur MW; Thornton JM; Dobson CM
J Mol Biol; 1996 Jan; 255(3):494-506. PubMed ID: 8568893
[TBL] [Abstract][Full Text] [Related]
18. Prediction of local structure in proteins using a library of sequence-structure motifs.
Bystroff C; Baker D
J Mol Biol; 1998 Aug; 281(3):565-77. PubMed ID: 9698570
[TBL] [Abstract][Full Text] [Related]
19. DANGLE: A Bayesian inferential method for predicting protein backbone dihedral angles and secondary structure.
Cheung MS; Maguire ML; Stevens TJ; Broadhurst RW
J Magn Reson; 2010 Feb; 202(2):223-33. PubMed ID: 20015671
[TBL] [Abstract][Full Text] [Related]
20. Structure validation by Calpha geometry: phi,psi and Cbeta deviation.
Lovell SC; Davis IW; Arendall WB; de Bakker PI; Word JM; Prisant MG; Richardson JS; Richardson DC
Proteins; 2003 Feb; 50(3):437-50. PubMed ID: 12557186
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]