Publications

Nov 1, 2017 J Immunol

NetMHCpan-4.0: improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data

Jurtz V, Paul S, Andreatta M, Marcatili P, Peters B, Nielsen M

Nov 1, 2017 Front Immunol

Reproducibility and reuse of adaptive immune receptor repertoire data

Breden F, Luning Prak ET, Peters B, Rubelt F, Schramm CA, Busse CE, Vander Heiden JA, Christley S, Bukhari SAC, Thorogood A, Matsen Iv FA, Wine Y, Laserson U, Klatzmann D, Douek DC, Lefranc MP, Collins AM, Bubela T, Kleinstein SH, Watson CT, Cowell LG, Scott JK, Kepler TB

Oct 13, 2017 Front Immunol

Global assessment of dengue virus-specific CD4+ T cell responses in dengue-endemic areas

Grifoni A, Angelo MA, Lopez B, O’Rourke PH, Sidney J, Cerpas C, Balmaseda A, Silveira CGT, Maestri A, Costa PR, Durbin AP, Diehl SA, Phillips E, Mallal S, De Silva AD, Nchinda G, Nkenfou C, Collins MH, de Silva AM, Lim MQ, Macary PA, Tatullo F, Solomon T, Satchidanandam V, Desai A, Ravi V, Coloma J, Turtle L, Rivino L, Kallas EG, Peters B, Harris E, Sette A, Weiskopf D

Oct 4, 2017 J Virol

Prior dengue virus exposure shapes T cell immunity to zika virus in humans

Grifoni A, Pham J, Sidney J, O'Rourke PH, Paul S, Peters B, Martini SR, de Silva AD, Ricciardi MJ, Magnani DM, Silveira CGT, Maestri A, Costa PR, de-Oliveira-Pinto LM, de Azeredo EL, Damasco PV, Phillips E, Mallal S, de Silva AM, Collins M, Durbin A, Diehl SA, Cerpas C, Balmaseda A, Kuan G, Coloma J, Harris E, Crowe JE Jr, Stone M, Norris PJ, Busch M, Vivanco-Cid H, Cox J, Graham BS, Ledgerwood JE, Turtle L, Solomon T, Kallas EG, Watkins D, Weiskopf D, Sette A

Sep 15, 2017 Am J Respir Crit Care Med

Differential recognition of mycobacterium tuberculosis-specific epitopes as a function of tuberculosis disease history

Scriba TJ, Carpenter C, Carrasco Pro S, Sidney J, Musvosvi M, Rozot V, Seumois G, Rosales SL, Vijayanand P, Goletti D, Makgotlho E, Hanekom W, Hatherill M, Peters B, Sette A, Lindestam Arlehamn CS

Sep 1, 2017 Expert Rev Proteomics

Deciphering the MHC-associated peptidome: a review of naturally processed ligand data

Vaughan K, Xu X, Caron E, Peters B, Sette A

Aug 17, 2017 Sci Rep

Shared peptide binding of HLA class I and II alleles associate with cutaneous nevirapine hypersensitivity and identify novel risk alleles

Pavlos R, McKinnon EJ, Ostrov DA, Peters B, Buus S, Koelle D, Chopra A, Schutte R, Rive C, Redwood A, Restrepo S, Bracey A, Kaever T, Myers P, Speers E, Malaker SA, Shabanowitz J, Jing Y, Gaudieri S, Hunt DF, Carrington M, Haas DW, Mallal S, Phillips EJ

Jun 29, 2017 Nature

T cells from patients with Parkinson’s disease recognize α-synuclein peptides

Sulzer D, Alcalay RN, Garretti F, Cote L, Kanter E, Agin-Liebes J, Liong C, McMurtrey C, Hildebrand WH, Mao X, Dawson VL, Dawson TM, Oseroff C, Pham J, Sidney J, Dillon MB, Carpenter C, Weiskopf D, Phillips E, Mallal S, Peters B, Frazier A, Lindestam Arlehamn CS, Sette A

Jun 21, 2017 BMC Immunol

Publications

NetMHCpan-4.0: improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data

Reproducibility and reuse of adaptive immune receptor repertoire data

Global assessment of dengue virus-specific CD4+ T cell responses in dengue-endemic areas

Prior dengue virus exposure shapes T cell immunity to zika virus in humans

Differential recognition of mycobacterium tuberculosis-specific epitopes as a function of tuberculosis disease history

Deciphering the MHC-associated peptidome: a review of naturally processed ligand data

Shared peptide binding of HLA class I and II alleles associate with cutaneous nevirapine hypersensitivity and identify novel risk alleles

T cells from patients with Parkinson’s disease recognize α-synuclein peptides

Experimental validation of the RATE tool for inferring HLA restrictions of T cell epitopes

Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules

Citrullination only infrequently impacts peptide binding to HLA class II MHC

BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes