568 related articles for article (PubMed ID: 14962912)
1. 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]
2. Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method.
Nielsen M; Lundegaard C; Lund O
BMC Bioinformatics; 2007 Jul; 8():238. PubMed ID: 17608956
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. DynaPred: a structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations.
Antes I; Siu SW; Lengauer T
Bioinformatics; 2006 Jul; 22(14):e16-24. PubMed ID: 16873467
[TBL] [Abstract][Full Text] [Related]
6. Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method.
He J; Yang G; Rao H; Li Z; Ding X; Chen Y
Artif Intell Med; 2012 Jun; 55(2):107-15. PubMed ID: 22134095
[TBL] [Abstract][Full Text] [Related]
7. Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers.
Lundegaard C; Lund O; Nielsen M
Bioinformatics; 2008 Jun; 24(11):1397-8. PubMed ID: 18413329
[TBL] [Abstract][Full Text] [Related]
8. Structure-based prediction of MHC-peptide association: algorithm comparison and application to cancer vaccine design.
Schiewe AJ; Haworth IS
J Mol Graph Model; 2007 Oct; 26(3):667-75. PubMed ID: 17493854
[TBL] [Abstract][Full Text] [Related]
9. T cell responses to bluetongue virus are directed against multiple and identical CD4+ and CD8+ T cell epitopes from the VP7 core protein in mouse and sheep.
Rojas JM; Rodríguez-Calvo T; Peña L; Sevilla N
Vaccine; 2011 Sep; 29(40):6848-57. PubMed ID: 21807057
[TBL] [Abstract][Full Text] [Related]
10. Peptide binding motifs for MHC class I and II molecules.
Biddison WE; Martin R
Curr Protoc Immunol; 2001 May; Appendix 1():Appendix 1I. PubMed ID: 18432645
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes.
Zhao W; Sher X
PLoS Comput Biol; 2018 Nov; 14(11):e1006457. PubMed ID: 30408041
[TBL] [Abstract][Full Text] [Related]
13. NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.
Nielsen M; Lund O
BMC Bioinformatics; 2009 Sep; 10():296. PubMed ID: 19765293
[TBL] [Abstract][Full Text] [Related]
14. Shift-invariant adaptive double threading: learning MHC II-peptide binding.
Zaitlen N; Reyes-Gomez M; Heckerman D; Jojic N
J Comput Biol; 2008 Sep; 15(7):927-42. PubMed ID: 18771399
[TBL] [Abstract][Full Text] [Related]
15. Predicting peptides bound to I-Ag7 class II histocompatibility molecules using a novel expectation-maximization alignment algorithm.
Chang KY; Suri A; Unanue ER
Proteomics; 2007 Feb; 7(3):367-77. PubMed ID: 17211830
[TBL] [Abstract][Full Text] [Related]
16. Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan.
Nielsen M; Lundegaard C; Blicher T; Peters B; Sette A; Justesen S; Buus S; Lund O
PLoS Comput Biol; 2008 Jul; 4(7):e1000107. PubMed ID: 18604266
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence.
Bhasin M; Raghava GP
Bioinformatics; 2004 Feb; 20(3):421-3. PubMed ID: 14960470
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Predicting peptide binding to Major Histocompatibility Complex molecules.
Liao WW; Arthur JW
Autoimmun Rev; 2011 Jun; 10(8):469-73. PubMed ID: 21333759
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
