Swapnil Mahajan
Swapnil Mahajan
Bioinformatics Scientist, La Jolla Institute for Allergy and Immunology
Verified email at lji.org
Cited by
Cited by
The immune epitope database (IEDB): 2018 update
R Vita, S Mahajan, JA Overton, SK Dhanda, S Martini, JR Cantrell, ...
Nucleic acids research 47 (D1), D339-D343, 2019
The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design
W Fleri, S Paul, SK Dhanda, S Mahajan, X Xu, B Peters, A Sette
Frontiers in Immunology 8, 278, 2017
A short survey on protein blocks
AP Joseph, G Agarwal, S Mahajan, JC Gelly, LS Swapna, B Offmann, ...
Biophysical Reviews 2 (3), 137-145, 2010
IEDB-AR: immune epitope database-analysis resource in 2019
SK Dhanda, S Mahajan, S Paul, Z Yan, H Kim, MC Jespersen, V Jurtz, ...
Nucleic Acids Research, gkz452, 2019
On the relationship between low-frequency normal modes and the large-scale conformational changes of proteins
S Mahajan, YH Sanejouand
Archives of biochemistry and biophysics 567, 59-65, 2015
NetTCR: sequence-based prediction of TCR binding to peptide-MHC complexes using convolutional neural networks
VI Jurtz, LE Jessen, AK Bentzen, MC Jespersen, S Mahajan, R Vita, ...
bioRxiv, 433706, 2018
Antibody specific B-cell epitope predictions: leveraging information from antibody-antigen protein complexes
MC Jespersen, S Mahajan, B Peters, M Nielsen, P Marcatili
Frontiers in immunology 10, 298, 2019
Structure - Function studies of HNF1A (MODY3) gene mutations in South Indian patients with monogenic diabetes
K Balamurugan, L Bjørkhaug, S Mahajan, S Kanthimathi, PR Njølstad, ...
Clinical Genetics, 2016
Comparison of tertiary structures of proteins in protein-protein complexes with unbound forms suggests prevalence of allostery in signalling proteins
LS Swapna, S Mahajan, AG De Brevern, N Srinivasan
BMC structural biology 12 (1), 6, 2012
Epitope specific antibodies and T cell receptors in the immune epitope database
S Mahajan, R Vita, D Shackelford, J Lane, V Schulten, L Zarebski, ...
Frontiers in immunology 9, 2688, 2018
Jumping between protein conformers using normal modes
S Mahajan, YH Sanejouand
Journal of Computational Chemistry, 2017
Use of a structural alphabet to find compatible folds for amino acid sequences
S Mahajan, AG de Brevern, YH Sanejouand, N Srinivasan, B Offmann
Protein Science, 2014
Knowledge-based prediction of protein backbone conformation using a structural alphabet
I Vetrivel, S Mahajan, M Tyagi, L Hoffmann, YH Sanejouand, N Srinivasan, ...
PloS one 12 (11), e0186215, 2017
Correlation between local structural dynamics of proteins inferred from NMR ensembles and evolutionary dynamics of homologues of known structure
S Mahajan, AG de Brevern, B Offmann, N Srinivasan
Journal of Biomolecular Structure and Dynamics 32 (5), 751-758, 2014
Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease
MJ Mason, C Schinke, CLP Eng, F Towfic, F Gruber, A Dervan, BS White, ...
Leukemia, 1-9, 2020
NetTCR: sequence-based prediction of TCR binding to peptide-MHC complexes using convolutional neural networks. bioRxiv p 433706
VI Jurtz, LE Jessen, AK Bentzen, MC Jespersen, S Mahajan, R Vita
Identification of local conformational similarity in structurally variable regions of homologous proteins using protein blocks
G Agarwal, S Mahajan, N Srinivasan, AG De Brevern
PloS one 6 (3), e17826, 2011
TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes
KK Jensen, V Rantos, EC Jappe, TH Olsen, MC Jespersen, V Jurtz, ...
Scientific reports 9 (1), 1-12, 2019
DoSA: Database of Structural Alignments
S Mahajan, G Agarwal, M Iftekhar, B Offmann, AG de Brevern, ...
Database 2013, bat048, 2013
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ...
Cell Systems 11 (2), 186-195. e9, 2020
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