puneet rawat

Verified @medisin.uio.no

Postdoctoral researcher, Department of Immunology
University of Oslo

puneet rawat


               Download Compact PDF  
https://researchid.co/puneet021192

RESEARCH, TEACHING, or OTHER INTERESTS

Structural Biology, Computer Science, Artificial Intelligence, Immunology
964

Scholar Citations

18

Scholar h-index

22

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Effects of protein interface mutations on protein quality and affinity
    JK de Kanter, E Smorodina, A Minnegalieva, M Arts, LM Blaabjerg, ...
    bioRxiv, 2026.03. 24.713863 , 2026
    2026
  • Identification of a type 1 diabetes–associated T cell receptor repertoire signature from the human peripheral blood
    P Rawat, MR Shapiro, LD Peters, M Widrich, K Mayer-Blackwell, ...
    Science Advances 12 (7), eadx7448 , 2026
    2026
    Citations: 14
  • Investigating protein aggregation in protein-carbohydrate interfaces using sequence and structural features
    S Lekshmi, NRS Shanmugam, R Prabakaran, P Rawat, MM Gromiha
    Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 141131 , 2026
    2026
  • TCR2HLA: calibrated inference of HLA genotypes from TCR repertoires enables identification of immunologically relevant metaclonotypes
    K Mayer-Blackwell, A Minervina, M Pogorelyy, P Rawat, MR Shapiro, ...
    PLOS Computational Biology 22 (1), e1013767 , 2026
    2026
    Citations: 1
  • YAbS: The Antibody Society’s antibody therapeutics database
    P Rawat, S Crescioli, R Prabakaran, D Sharma, V Greiff, JM Reichert
    Mabs 17 (1), 2468845 , 2025
    2025
    Citations: 7
  • Quantitative mapping of antigen specificity in adaptive immune repertoire embedding spaces
    M Frolenkova, N Cardente, J Zhong, E Egorov, G Isacchini, J Limenitakis, ...
    bioRxiv, 2025.12. 09.692930 , 2025
    2025
  • Pan-carcinoma sialyl-Tn-targeting expands CAR therapy to solid tumors
    R Abrantes, C Forcados, DJ Warren, L Santos-Ferreira, KG Fleten, ...
    Cell Reports Medicine 6 (9) , 2025
    2025
    Citations: 12
  • Investigating Local Sequence‐Structural Attributes of Amyloidogenic Light Chain Variable Domains
    P Rawat, R Prabakaran, D Sharma, V Mandala, V Greiff, S Kumar, ...
    Proteins: Structure, Function, and Bioinformatics 93 (9), 1451-1464 , 2025
    2025
    Citations: 3
  • Training data composition determines machine learning generalization and biological rule discovery
    E Ursu, A Minnegalieva, P Rawat, M Chernigovskaya, R Tacutu, ...
    Nature Machine Intelligence 7 (8), 1206-1219 , 2025
    2025
    Citations: 24
  • Computational Biophysical Analyses of Antibody Structure-Function Relationships with Emphasis on Therapeutic Antibody-Based Biologics
    P Rawat, E Smorodina, D Sharma, R Prabakaran, J Wade, R Akbar, ...
    Biopharmaceutical Informatics, 161-200 , 2025
    2025
  • Structural modeling of antibody variant epitope specificity with complementary experimental and computational techniques
    E Smorodina, O Crook, JR Loeffler, MLF Quintero, LM Weissenborn, ...
    ICLR 2025 Workshop on Generative and Experimental Perspectives for … , 2025
    2025
    Citations: 5
  • Deciphering the modulatory role of mutations in protein aggregation through in silico methods
    R Prabakaran, P Rawat, S Kumar, MM Gromiha
    PROTEIN MUTATIONS: Consequences on Structure, Functions, and Diseases, 3-38 , 2025
    2025
    Citations: 1
  • Decoding the evolution of COVID-19 through mutational studies on SARS-CoV-2
    D Sharma, P Rawat, MM Gromiha
    PROTEIN MUTATIONS: Consequences on Structure, Functions, and Diseases, 291-328 , 2025
    2025
  • Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
    H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ...
    Communications Biology 7 (1), 922 , 2024
    2024
    Citations: 37
  • Simple computational methods can outperform deep learning in designing diverse, binder-enriched antibody libraries
    L Chinery, AM Hummer, BB Mehta, R Akbar, P Rawat, A Slabodkin, ...
    bioRxiv, 2024.03. 26.586756 , 2024
    2024
    Citations: 4
  • Baselining the buzz. Trastuzumab-HER2 Affinity, and Beyond!
    L Chinery, AM Hummer, BB Mehta, R Akbar, P Rawat, A Slabodkin, ...
    2024
    Citations: 25
  • Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation
    D Sharma, P Rawat, V Greiff, V Janakiraman, MM Gromiha
    Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease 1870 (2), 166959 , 2024
    2024
    Citations: 9
  • Adaptive immune receptor repertoire analysis
    V Mhanna, H Bashour, K Lê Quý, P Barennes, P Rawat, V Greiff, ...
    Nature Reviews Methods Primers 4 (1), 6 , 2024
    2024
    Citations: 65
  • ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns
    CV Sørensen, N Hofmann, P Rawat, FV Sørensen, A Ljungars, V Greiff, ...
    Bioinformatics advances 4 (1), vbae020 , 2024
    2024
    Citations: 2
  • Toward real-world automated antibody design with combinatorial Bayesian optimization
    A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
    Cell Reports Methods 3 (1) , 2023
    2023
    Citations: 94

MOST CITED SCHOLAR PUBLICATIONS

  • Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
    R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
    MAbs 14 (1), 2008790 , 2022
    2022
    Citations: 131
  • Toward real-world automated antibody design with combinatorial Bayesian optimization
    A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
    Cell Reports Methods 3 (1) , 2023
    2023
    Citations: 94
  • Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
    PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ...
    Nature Computational Science 2 (12), 845-865 , 2022
    2022
    Citations: 75
  • ANuPP: a versatile tool to predict aggregation nucleating regions in peptides and proteins
    R Prabakaran, P Rawat, S Kumar, MM Gromiha
    Journal of molecular biology 433 (11), 166707 , 2021
    2021
    Citations: 73
  • Protein aggregation: in silico algorithms and applications
    R Prabakaran, P Rawat, AM Thangakani, S Kumar, MM Gromiha
    Biophysical reviews 13 (1), 71-89 , 2021
    2021
    Citations: 69
  • Adaptive immune receptor repertoire analysis
    V Mhanna, H Bashour, K Lê Quý, P Barennes, P Rawat, V Greiff, ...
    Nature Reviews Methods Primers 4 (1), 6 , 2024
    2024
    Citations: 65
  • CPAD 2.0: a repository of curated experimental data on aggregating proteins and peptides
    P Rawat, R Prabakaran, R Sakthivel, A Mary Thangakani, S Kumar, ...
    Amyloid 27 (2), 128-133 , 2020
    2020
    Citations: 50
  • Exploring the sequence features determining amyloidosis in human antibody light chains
    P Rawat, R Prabakaran, S Kumar, MM Gromiha
    Scientific Reports 11 (1), 13785 , 2021
    2021
    Citations: 40
  • Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
    H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ...
    Communications Biology 7 (1), 922 , 2024
    2024
    Citations: 37
  • Why are ACE2 binding coronavirus strains SARS‐CoV/SARS‐CoV‐2 wild and NL63 mild?
    P Rawat, S Jemimah, PK Ponnuswamy, MM Gromiha
    Proteins: Structure, Function, and Bioinformatics 89 (4), 389-398 , 2021
    2021
    Citations: 34
  • An in-silico method for identifying aggregation rate enhancer and mitigator mutations in proteins
    P Rawat, S Kumar, MM Gromiha
    International Journal of Biological Macromolecules 118, 1157-1167 , 2018
    2018
    Citations: 30
  • A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19
    R Prabakaran, S Jemimah, P Rawat, D Sharma, MM Gromiha
    Scientific reports 11 (1), 24073 , 2021
    2021
    Citations: 28
  • Baselining the buzz. Trastuzumab-HER2 Affinity, and Beyond!
    L Chinery, AM Hummer, BB Mehta, R Akbar, P Rawat, A Slabodkin, ...
    2024
    Citations: 25
  • AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation
    P Rawat, R Prabakaran, S Kumar, MM Gromiha
    Bioinformatics 36 (5), 1439-1444 , 2020
    2020
    Citations: 25
  • Training data composition determines machine learning generalization and biological rule discovery
    E Ursu, A Minnegalieva, P Rawat, M Chernigovskaya, R Tacutu, ...
    Nature Machine Intelligence 7 (8), 1206-1219 , 2025
    2025
    Citations: 24
  • Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets
    R Prabakaran, P Rawat, S Kumar, MM Gromiha
    Briefings in Bioinformatics 22 (6), bbab240 , 2021
    2021
    Citations: 19
  • Elucidating important structural features for the binding affinity of spike‐SARS‐CoV‐2 neutralizing antibody complexes
    D Sharma, P Rawat, V Janakiraman, MM Gromiha
    Proteins: Structure, Function, and Bioinformatics 90 (3), 824-834 , 2022
    2022
    Citations: 18
  • Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies
    P Rawat, D Sharma, A Srivastava, V Janakiraman, MM Gromiha
    Scientific reports 11 (1), 10220 , 2021
    2021
    Citations: 18
  • AbsoluRATE: An in-silico method to predict the aggregation kinetics of native proteins
    P Rawat, R Prabakaran, S Kumar, MM Gromiha
    Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1869 (9), 140682 , 2021
    2021
    Citations: 17
  • Identification of a type 1 diabetes–associated T cell receptor repertoire signature from the human peripheral blood
    P Rawat, MR Shapiro, LD Peters, M Widrich, K Mayer-Blackwell, ...
    Science Advances 12 (7), eadx7448 , 2026
    2026
    Citations: 14