146 related articles for article (PubMed ID: 32711842)
1. MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing.
O'Donnell TJ; Rubinsteyn A; Laserson U
Cell Syst; 2020 Jul; 11(1):42-48.e7. PubMed ID: 32711842
[TBL] [Abstract][Full Text] [Related]
2. Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods.
Zhang H; Lundegaard C; Nielsen M
Bioinformatics; 2009 Jan; 25(1):83-9. PubMed ID: 18996943
[TBL] [Abstract][Full Text] [Related]
3. NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data.
Reynisson B; Alvarez B; Paul S; Peters B; Nielsen M
Nucleic Acids Res; 2020 Jul; 48(W1):W449-W454. PubMed ID: 32406916
[TBL] [Abstract][Full Text] [Related]
4. MHCSeqNet2-improved peptide-class I MHC binding prediction for alleles with low data.
Wongklaew P; Sriswasdi S; Chuangsuwanich E
Bioinformatics; 2024 Jan; 40(1):. PubMed ID: 38152987
[TBL] [Abstract][Full Text] [Related]
5. Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.
Boehm KM; Bhinder B; Raja VJ; Dephoure N; Elemento O
BMC Bioinformatics; 2019 Jan; 20(1):7. PubMed ID: 30611210
[TBL] [Abstract][Full Text] [Related]
6. Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction.
Chen Z; Min MR; Ning X
Front Mol Biosci; 2021; 8():634836. PubMed ID: 34079815
[TBL] [Abstract][Full Text] [Related]
7. Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernels.
Lawrence PJ; Ning X
Cell Rep Methods; 2022 Sep; 2(9):100293. PubMed ID: 36160050
[TBL] [Abstract][Full Text] [Related]
8. Neurons preferentially respond to self-MHC class I allele products regardless of peptide presented.
Escande-Beillard N; Washburn L; Zekzer D; Wu ZP; Eitan S; Ivkovic S; Lu Y; Dang H; Middleton B; Bilousova TV; Yoshimura Y; Evans CJ; Joyce S; Tian J; Kaufman DL
J Immunol; 2010 Jan; 184(2):816-23. PubMed ID: 20018625
[TBL] [Abstract][Full Text] [Related]
9. Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.
Atkins TK; Solanki A; Vasmatzis G; Cornette J; Riedel M
Front Immunol; 2023; 14():1288105. PubMed ID: 38292493
[TBL] [Abstract][Full Text] [Related]
10. Game of Omes: ribosome profiling expands the MHC-I immunopeptidome.
Holly J; Yewdell JW
Curr Opin Immunol; 2023 Aug; 83():102342. PubMed ID: 37247567
[TBL] [Abstract][Full Text] [Related]
11. Improved prediction of MHC-peptide binding using protein language models.
Hashemi N; Hao B; Ignatov M; Paschalidis IC; Vakili P; Vajda S; Kozakov D
Front Bioinform; 2023; 3():1207380. PubMed ID: 37663788
[TBL] [Abstract][Full Text] [Related]
12. A Mechanistic Model for Predicting Cell Surface Presentation of Competing Peptides by MHC Class I Molecules.
Boulanger DSM; Eccleston RC; Phillips A; Coveney PV; Elliott T; Dalchau N
Front Immunol; 2018; 9():1538. PubMed ID: 30026743
[TBL] [Abstract][Full Text] [Related]
13. Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors.
Kacen A; Javitt A; Kramer MP; Morgenstern D; Tsaban T; Shmueli MD; Teo GC; da Veiga Leprevost F; Barnea E; Yu F; Admon A; Eisenbach L; Samuels Y; Schueler-Furman O; Levin Y; Nesvizhskii AI; Merbl Y
Nat Biotechnol; 2023 Feb; 41(2):239-251. PubMed ID: 36203013
[TBL] [Abstract][Full Text] [Related]
14. SUS(d6)pending MHC class I peptide presentation for cancer immunoevasion.
Dersh D; Yewdell JW
Cell Res; 2024 Feb; 34(2):97-98. PubMed ID: 37833358
[No Abstract] [Full Text] [Related]
15. State of the art and challenges in sequence based T-cell epitope prediction.
Lundegaard C; Hoof I; Lund O; Nielsen M
Immunome Res; 2010 Nov; 6 Suppl 2(Suppl 2):S3. PubMed ID: 21067545
[TBL] [Abstract][Full Text] [Related]
16. MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing.
O'Donnell TJ; Rubinsteyn A; Laserson U
Cell Syst; 2020 Oct; 11(4):418-419. PubMed ID: 33091335
[No Abstract] [Full Text] [Related]
17. B602L-Fc fusion protein enhances the immunogenicity of the B602L protein of the African swine fever virus.
Yang Y; Xia Q; Zhou L; Zhang Y; Guan Z; Zhang J; Li Z; Liu K; Li B; Shao D; Qiu Y; Ma Z; Wei J
Front Immunol; 2023; 14():1186299. PubMed ID: 37426672
[TBL] [Abstract][Full Text] [Related]
18. NetCleave: An Open-Source Algorithm for Predicting C-Terminal Antigen Processing for MHC-I and MHC-II.
Farriol-Duran R; Vallejo-Vallés M; Amengual-Rigo P; Floor M; Guallar V
Methods Mol Biol; 2023; 2673():211-226. PubMed ID: 37258917
[TBL] [Abstract][Full Text] [Related]
19. TSNAD and TSNAdb: The Useful Toolkit for Clinical Application of Tumor-Specific Neoantigens.
Wu J; Zhou Z
Methods Mol Biol; 2023; 2673():167-174. PubMed ID: 37258913
[TBL] [Abstract][Full Text] [Related]
20. Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8
Gfeller D; Schmidt J; Croce G; Guillaume P; Bobisse S; Genolet R; Queiroz L; Cesbron J; Racle J; Harari A
Cell Syst; 2023 Jan; 14(1):72-83.e5. PubMed ID: 36603583
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]