Marcatili, Paolo

IEDB-AR: immune epitope database-analysis resource in 2019

Dhanda, S. K., Mahajan, S., Paul, S., Yan, Z., Kim, H., Jespersen, M. C., Jurtz, V., Andreatta, M., Greenbaum, J. A., Marcatili, P., et al. (2019) · Nucleic Acids Research

vaccines and immunoinformatics approachesImmunotherapy and Immune Responses

Cited by 427

BepiPred-3.0: Improved B-cell epitope prediction using protein language models

Clifford, J., Høie, M. H., Nielsen, M., Deleuran, S., Peters, B., & Marcatili, P. (2022) · Protein Science

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 296

BepiPred ‐3.0: Improved B‐cell epitope prediction using protein language models

Clifford, J. N., Høie, M. H., Deleuran, S., Peters, B., Nielsen, M., & Marcatili, P. (2022) · Protein Science

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 296

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

Høie, M. H., Gade, F. S., Johansen, J. M., Würtzen, C., Winther, O., Nielsen, M., & Marcatili, P. (2024) · Frontiers in Immunology

vaccines and immunoinformatics approachesProtein Structure and Dynamics

Cited by 151

DiscoTope-3.0 - Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations

Høie, M. H., Gade, F. S., Johansen, J. M., Würtzen, C., Winther, O., Nielsen, M., & Marcatili, P. (2023) · Frontiers in Immunology

vaccines and immunoinformatics approachesProtein Structure and Dynamics

Cited by 151

Antibody specific B-cell epitope predictions: leveraging information from antibody–antigen protein complexes

Jespersen, M. C., Mahajan, S., Peters, B., Nielsen, M., & Marcatili, P. (2019) · Frontiers in Immunology

vaccines and immunoinformatics approachesMonoclonal and Polyclonal Antibodies Research

Cited by 148

Prediction of site-specific interactions in antibody–antigen complexes: the proABC method and server

Olimpieri, P. P., Chailyan, A., Tramontano, A., & Marcatili, P. (2013) · Bioinformatics

Machine Learning in Bioinformaticsvaccines and immunoinformatics approaches

Cited by 90

Epitope specific antibodies and T cell receptors in the immune epitope database

Mahajan, S., Vita, R., Shackelford, D., Lane, J., Schulten, V., Zarebski, L., Jespersen, M. C., Marcatili, P., Nielsen, M., Sette, A., et al. (2018) · Frontiers in Immunology

vaccines and immunoinformatics approachesT-cell and B-cell Immunology

Cited by 53

Comparative Structure Analysis of the Multi-Domain, Cell Envelope Proteases of Lactic Acid Bacteria

Christensen, L. F., Høie, M. H., Bang-Berthelsen, C. H., Marcatili, P., & Hansen, E. B. (2023) · Microorganisms

Probiotics and Fermented FoodsProtein Structure and Dynamics

Cited by 17

Comparative Structure Analysis of the Multi-Domain, Cell Envelope Proteases of Lactic Acid Bacteria

Christensen, L. F., Høie, M. H., Bang-Berthelsen, C. H., Marcatili, P., & Hansen, E. B. (2023) · Microorganisms

Probiotics and Fermented FoodsProtein Structure and Dynamics

Cited by 17

Modeled Structure of the Cell Envelope Proteinase of Lactococcus lactis

Hansen, E. B., & Marcatili, P. (2020) · Frontiers in Bioengineering and Biotechnology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 16

Proteomic characterization of pilot scale hot-water extracts from the industrial carrageenan red seaweed Eucheuma denticulatum

Gregersen, S., Pertseva, M., Marcatili, P., Holdt, S. L., Jacobsen, C., García-Moreno, P. J., Hansen, E. B., & Overgaard, M. T. (2022) · Algal Research

Advanced Proteomics Techniques and ApplicationsSeaweed-derived Bioactive Compounds

Cited by 15