211 related articles for article (PubMed ID: 16789918)
1. Prediction of C alpha-H...O and C alpha-H...pi interactions in proteins using recurrent neural network.
Kaur H; Raghava GP
In Silico Biol; 2006; 6(1-2):111-25. PubMed ID: 16789918
[TBL] [Abstract][Full Text] [Related]
2. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
Kaur H; Raghava GP
Bioinformatics; 2004 Nov; 20(16):2751-8. PubMed ID: 15145798
[TBL] [Abstract][Full Text] [Related]
3. Role of evolutionary information in prediction of aromatic-backbone NH interactions in proteins.
Kaur H; Raghava GP
FEBS Lett; 2004 Apr; 564(1-2):47-57. PubMed ID: 15094041
[TBL] [Abstract][Full Text] [Related]
4. Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information.
Kaur H; Raghava GP
Proteins; 2004 Apr; 55(1):83-90. PubMed ID: 14997542
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods.
Natt NK; Kaur H; Raghava GP
Proteins; 2004 Jul; 56(1):11-8. PubMed ID: 15162482
[TBL] [Abstract][Full Text] [Related]
8. Prediction of continuous B-cell epitopes in an antigen using recurrent neural network.
Saha S; Raghava GP
Proteins; 2006 Oct; 65(1):40-8. PubMed ID: 16894596
[TBL] [Abstract][Full Text] [Related]
9. Prediction of beta-turns in proteins from multiple alignment using neural network.
Kaur H; Raghava GP
Protein Sci; 2003 Mar; 12(3):627-34. PubMed ID: 12592033
[TBL] [Abstract][Full Text] [Related]
10. C-H...pi-interactions in proteins.
Brandl M; Weiss MS; Jabs A; Sühnel J; Hilgenfeld R
J Mol Biol; 2001 Mar; 307(1):357-77. PubMed ID: 11243825
[TBL] [Abstract][Full Text] [Related]
11. ZPRED: predicting the distance to the membrane center for residues in alpha-helical membrane proteins.
Granseth E; Viklund H; Elofsson A
Bioinformatics; 2006 Jul; 22(14):e191-6. PubMed ID: 16873471
[TBL] [Abstract][Full Text] [Related]
12. Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks.
Babaei S; Geranmayeh A; Seyyedsalehi SA
Comput Methods Programs Biomed; 2010 Dec; 100(3):237-47. PubMed ID: 20472322
[TBL] [Abstract][Full Text] [Related]
13. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
Song J; Yuan Z; Tan H; Huber T; Burrage K
Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444
[TBL] [Abstract][Full Text] [Related]
14. Neural network-based prediction of transmembrane beta-strand segments in outer membrane proteins.
Gromiha MM; Ahmad S; Suwa M
J Comput Chem; 2004 Apr; 25(5):762-7. PubMed ID: 14978719
[TBL] [Abstract][Full Text] [Related]
15. A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
Kaur H; Raghava GP
Protein Sci; 2003 May; 12(5):923-9. PubMed ID: 12717015
[TBL] [Abstract][Full Text] [Related]
16. Strand-loop-strand motifs: prediction of hairpins and diverging turns in proteins.
Kuhn M; Meiler J; Baker D
Proteins; 2004 Feb; 54(2):282-8. PubMed ID: 14696190
[TBL] [Abstract][Full Text] [Related]
17. Protein secondary structure prediction with SPARROW.
Bettella F; Rasinski D; Knapp EW
J Chem Inf Model; 2012 Feb; 52(2):545-56. PubMed ID: 22224407
[TBL] [Abstract][Full Text] [Related]
18. Prediction of neurotoxins based on their function and source.
Saha S; Raghava GP
In Silico Biol; 2007; 7(4-5):369-87. PubMed ID: 18391230
[TBL] [Abstract][Full Text] [Related]
19. Prediction of turn types in protein structure by machine-learning classifiers.
Meissner M; Koch O; Klebe G; Schneider G
Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702
[TBL] [Abstract][Full Text] [Related]
20. Neural network prediction of 3(10)-helices in proteins.
Pal L; Basu G
Indian J Biochem Biophys; 2001; 38(1-2):107-14. PubMed ID: 11563321
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
