216 related articles for article (PubMed ID: 16844987)
1. DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classification.
Ferrè F; Clote P
Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W182-5. PubMed ID: 16844987
[TBL] [Abstract][Full Text] [Related]
2. DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
Ceroni A; Passerini A; Vullo A; Frasconi P
Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W177-81. PubMed ID: 16844986
[TBL] [Abstract][Full Text] [Related]
3. DiANNA: a web server for disulfide connectivity prediction.
Ferrè F; Clote P
Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W230-2. PubMed ID: 15980459
[TBL] [Abstract][Full Text] [Related]
4. Disulfide connectivity prediction using recursive neural networks and evolutionary information.
Vullo A; Frasconi P
Bioinformatics; 2004 Mar; 20(5):653-9. PubMed ID: 15033872
[TBL] [Abstract][Full Text] [Related]
5. Disulfide connectivity prediction using secondary structure information and diresidue frequencies.
Ferrè F; Clote P
Bioinformatics; 2005 May; 21(10):2336-46. PubMed ID: 15741247
[TBL] [Abstract][Full Text] [Related]
6. CysView: protein classification based on cysteine pairing patterns.
Lenffer J; Lai P; El Mejaber W; Khan AM; Koh JL; Tan PT; Seah SH; Brusic V
Nucleic Acids Res; 2004 Jul; 32(Web Server issue):W350-5. PubMed ID: 15215409
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Prediction of disulfide connectivity from protein sequences.
Chen YC; Hwang JK
Proteins; 2005 Nov; 61(3):507-12. PubMed ID: 16170781
[TBL] [Abstract][Full Text] [Related]
9. Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines.
Vullo A; Bortolami O; Pollastri G; Tosatto SC
Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W164-8. PubMed ID: 16844983
[TBL] [Abstract][Full Text] [Related]
10. Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks.
Passerini A; Punta M; Ceroni A; Rost B; Frasconi P
Proteins; 2006 Nov; 65(2):305-16. PubMed ID: 16927295
[TBL] [Abstract][Full Text] [Related]
11. transFold: a web server for predicting the structure and residue contacts of transmembrane beta-barrels.
Waldispühl J; Berger B; Clote P; Steyaert JM
Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W189-93. PubMed ID: 16844989
[TBL] [Abstract][Full Text] [Related]
12. DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines.
Lin HH; Tseng LY
Nucleic Acids Res; 2010 Jul; 38(Web Server issue):W503-7. PubMed ID: 20530534
[TBL] [Abstract][Full Text] [Related]
13. Improving disulfide connectivity prediction with sequential distance between oxidized cysteines.
Tsai CH; Chen BJ; Chan CH; Liu HL; Kao CY
Bioinformatics; 2005 Dec; 21(24):4416-9. PubMed ID: 16223789
[TBL] [Abstract][Full Text] [Related]
14. Analysis of factors that induce cysteine bonding state.
Karami Z; Abdolmaleki P; Rezaei MA; Jahandideh S; Asadabadi EB
Comput Biol Med; 2009 Apr; 39(4):332-9. PubMed ID: 19246035
[TBL] [Abstract][Full Text] [Related]
15. Prediction of the disulfide-bonding state of cysteines in proteins based on dipeptide composition.
Song JN; Wang ML; Li WJ; Xu WB
Biochem Biophys Res Commun; 2004 May; 318(1):142-7. PubMed ID: 15110765
[TBL] [Abstract][Full Text] [Related]
16. Predicting disulfide connectivity patterns.
Lu CH; Chen YC; Yu CS; Hwang JK
Proteins; 2007 May; 67(2):262-70. PubMed ID: 17285623
[TBL] [Abstract][Full Text] [Related]
17. Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching.
Cheng J; Saigo H; Baldi P
Proteins; 2006 Mar; 62(3):617-29. PubMed ID: 16320312
[TBL] [Abstract][Full Text] [Related]
18. Predicting disulfide bond connectivity in proteins by correlated mutations analysis.
Rubinstein R; Fiser A
Bioinformatics; 2008 Feb; 24(4):498-504. PubMed ID: 18203772
[TBL] [Abstract][Full Text] [Related]
19. The Path-A metabolic pathway prediction web server.
Pireddu L; Szafron D; Lu P; Greiner R
Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W714-9. PubMed ID: 16845105
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
