148 related articles for article (PubMed ID: 26161671)
1. An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation Model.
Raimondi D; Orlando G; Vranken WF
PLoS One; 2015; 10(7):e0131792. PubMed ID: 26161671
[TBL] [Abstract][Full Text] [Related]
2. Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements.
Raimondi D; Orlando G; Vranken WF
Bioinformatics; 2015 Apr; 31(8):1219-25. PubMed ID: 25492406
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation State.
Raimondi D; Orlando G; Messens J; Vranken WF
Hum Mutat; 2017 Jan; 38(1):86-94. PubMed ID: 27667481
[TBL] [Abstract][Full Text] [Related]
7. Cysteine separations profiles on protein sequences infer disulfide connectivity.
Zhao E; Liu HL; Tsai CH; Tsai HK; Chan CH; Kao CY
Bioinformatics; 2005 Apr; 21(8):1415-20. PubMed ID: 15585533
[TBL] [Abstract][Full Text] [Related]
8. diSBPred: A machine learning based approach for disulfide bond prediction.
Mishra A; Kabir MWU; Hoque MT
Comput Biol Chem; 2021 Apr; 91():107436. PubMed ID: 33550156
[TBL] [Abstract][Full Text] [Related]
9. Prediction of disulfide connectivity in proteins.
Fariselli P; Casadio R
Bioinformatics; 2001 Oct; 17(10):957-64. PubMed ID: 11673241
[TBL] [Abstract][Full Text] [Related]
10. Dinosolve: a protein disulfide bonding prediction server using context-based features to enhance prediction accuracy.
Yaseen A; Li Y
BMC Bioinformatics; 2013; 14 Suppl 13(Suppl 13):S9. PubMed ID: 24267383
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
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. 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]
15. Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
Savojardo C; Fariselli P; Martelli PL; Casadio R
BMC Bioinformatics; 2013; 14 Suppl 1(Suppl 1):S10. PubMed ID: 23368835
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins.
Yang J; He BJ; Jang R; Zhang Y; Shen HB
Bioinformatics; 2015 Dec; 31(23):3773-81. PubMed ID: 26254435
[TBL] [Abstract][Full Text] [Related]
19. One short cysteine-rich sequence pattern - two different disulfide-bonded structures - a molecular dynamics simulation study.
Dames SA
J Pept Sci; 2015 Jun; 21(6):480-94. PubMed ID: 25781269
[TBL] [Abstract][Full Text] [Related]
20. Local Similarity Matrix for Cysteine Disulfide Connectivity Prediction from Protein Sequences.
Mapes NJ; Rodriguez C; Chowriappa P; Dua S
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1276-1289. PubMed ID: 30640622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
