162 related articles for article (PubMed ID: 17238269)
1. Predicting class I major histocompatibility complex (MHC) binders using multivariate statistics: comparison of discriminant analysis and multiple linear regression.
Doytchinova IA; Flower DR
J Chem Inf Model; 2007; 47(1):234-8. PubMed ID: 17238269
[TBL] [Abstract][Full Text] [Related]
2. Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: in silico bioinformatic step-by-step guide using quantitative structure-activity relationships.
Hattotuwagama CK; Doytchinova IA; Flower DR
Methods Mol Biol; 2007; 409():227-45. PubMed ID: 18450004
[TBL] [Abstract][Full Text] [Related]
3. Toward prediction of class II mouse major histocompatibility complex peptide binding affinity: in silico bioinformatic evaluation using partial least squares, a robust multivariate statistical technique.
Hattotuwagama CK; Toseland CP; Guan P; Taylor DJ; Hemsley SL; Doytchinova IA; Flower DR
J Chem Inf Model; 2006; 46(3):1491-502. PubMed ID: 16711768
[TBL] [Abstract][Full Text] [Related]
4. In silico prediction of peptide binding affinity to class I mouse major histocompatibility complexes: a comparative molecular similarity index analysis (CoMSIA) study.
Hattotuwagama CK; Doytchinova IA; Flower DR
J Chem Inf Model; 2005; 45(5):1415-23. PubMed ID: 16180918
[TBL] [Abstract][Full Text] [Related]
5. Ab initio prediction of peptide-MHC binding geometry for diverse class I MHC allotypes.
Bordner AJ; Abagyan R
Proteins; 2006 May; 63(3):512-26. PubMed ID: 16470819
[TBL] [Abstract][Full Text] [Related]
6. New horizons in mouse immunoinformatics: reliable in silico prediction of mouse class I histocompatibility major complex peptide binding affinity.
Hattotuwagama CK; Guan P; Doytchinova IA; Flower DR
Org Biomol Chem; 2004 Nov; 2(22):3274-83. PubMed ID: 15534705
[TBL] [Abstract][Full Text] [Related]
7. Class II HLA-peptide binding prediction using structural principles.
Mohanapriya A; Lulu S; Kayathri R; Kangueane P
Hum Immunol; 2009 Mar; 70(3):159-69. PubMed ID: 19187794
[TBL] [Abstract][Full Text] [Related]
8. Structural prediction of peptides binding to MHC class I molecules.
Bui HH; Schiewe AJ; von Grafenstein H; Haworth IS
Proteins; 2006 Apr; 63(1):43-52. PubMed ID: 16447245
[TBL] [Abstract][Full Text] [Related]
9. Predicting the affinity of epitope-peptides with class I MHC molecule HLA-A*0201: an application of amino acid-based peptide prediction.
Du QS; Wei YT; Pang ZW; Chou KC; Huang RB
Protein Eng Des Sel; 2007 Sep; 20(9):417-23. PubMed ID: 17681974
[TBL] [Abstract][Full Text] [Related]
10. Methods and protocols for prediction of immunogenic epitopes.
Tong JC; Tan TW; Ranganathan S
Brief Bioinform; 2007 Mar; 8(2):96-108. PubMed ID: 17077136
[TBL] [Abstract][Full Text] [Related]
11. Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach.
Nielsen M; Lundegaard C; Worning P; Hvid CS; Lamberth K; Buus S; Brunak S; Lund O
Bioinformatics; 2004 Jun; 20(9):1388-97. PubMed ID: 14962912
[TBL] [Abstract][Full Text] [Related]
12. POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.
Tung CW; Ho SY
Bioinformatics; 2007 Apr; 23(8):942-9. PubMed ID: 17384427
[TBL] [Abstract][Full Text] [Related]
13. Prediction of MHC-binding peptides of flexible lengths from sequence-derived structural and physicochemical properties.
Cui J; Han LY; Lin HH; Zhang HL; Tang ZQ; Zheng CJ; Cao ZW; Chen YZ
Mol Immunol; 2007 Feb; 44(5):866-77. PubMed ID: 16806474
[TBL] [Abstract][Full Text] [Related]
14. MAPPP: MHC class I antigenic peptide processing prediction.
Hakenberg J; Nussbaum AK; Schild H; Rammensee HG; Kuttler C; Holzhütter HG; Kloetzel PM; Kaufmann SH; Mollenkopf HJ
Appl Bioinformatics; 2003; 2(3):155-8. PubMed ID: 15130801
[TBL] [Abstract][Full Text] [Related]
15. Proteins accessible to immune surveillance show significant T-cell epitope depletion: Implications for vaccine design.
Halling-Brown M; Shaban R; Frampton D; Sansom CE; Davies M; Flower D; Duffield M; Titball RW; Brusic V; Moss DS
Mol Immunol; 2009 Aug; 46(13):2699-705. PubMed ID: 19560824
[TBL] [Abstract][Full Text] [Related]
16. Prediction of peptide-MHC binding using profiles.
Reche PA; Reinherz EL
Methods Mol Biol; 2007; 409():185-200. PubMed ID: 18450001
[TBL] [Abstract][Full Text] [Related]
17. Quantitative prediction of MHC-II binding affinity using particle swarm optimization.
Zhang W; Liu J; Niu Y
Artif Intell Med; 2010 Oct; 50(2):127-32. PubMed ID: 20541921
[TBL] [Abstract][Full Text] [Related]
18. Prediction of T-cell epitopes using biosupport vector machines.
Yang ZR; Johnson FC
J Chem Inf Model; 2005; 45(5):1424-8. PubMed ID: 16180919
[TBL] [Abstract][Full Text] [Related]
19. Quantitative online prediction of peptide binding to the major histocompatibility complex.
Hattotuwagama CK; Guan P; Doytchinova IA; Zygouri C; Flower DR
J Mol Graph Model; 2004 Jan; 22(3):195-207. PubMed ID: 14629978
[TBL] [Abstract][Full Text] [Related]
20. EpiTOP--a proteochemometric tool for MHC class II binding prediction.
Dimitrov I; Garnev P; Flower DR; Doytchinova I
Bioinformatics; 2010 Aug; 26(16):2066-8. PubMed ID: 20576624
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
