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

The Immune Epitope Database (IEDB): 2018 update

Vita, R., Mahajan, S., Overton, J. A., Dhanda, S. K., Martini, S. R., Cantrell, J. R., Wheeler, D. K., Sette, A., & Peters, B. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1006 · Cited by 2,194

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

Jespersen, M. C., Peters, B., Nielsen, M., & Marcatili, P. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx346 · Cited by 1,739

ElliPro: a new structure-based tool for the prediction of antibody epitopes

Ponomarenko, J. V., Bui, H., Li, W., Fusseder, N., Bourne, P. E., Sette, A., & Peters, B. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-514 · Cited by 1,738

NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

Jurtz, V. I., Paul, S., Andreatta, M., Marcatili, P., Peters, B., & Nielsen, M. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1700893 · Cited by 1,476

Canonical structures for the hypervariable regions of immunoglobulins

Chothia, C., & Lesk, A. M. (1987) · Journal of Molecular Biology · doi:10.1016/0022-2836(87)90412-8 · Cited by 1,406

Improved method for predicting linear B-cell epitopes.

Larsen, J., Lund, O., & Nielsen, M. (2006) · Immunome Research · doi:10.1186/1745-7580-2-2 · Cited by 1,243

Gapped sequence alignment using artificial neural networks: application to the MHC class I system

Andreatta, M., & Nielsen, M. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv639 · Cited by 1,098

Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

Calis, J. J. A., Maybeno, M., Greenbaum, J., Weiskopf, D., Silva, A. D. D., Sette, A., Keşmir, C., & Peters, B. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003266 · Cited by 920

Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices

Sturniolo, T., Bono, E. B., Ding, J., Raddrizzani, L., Tuereci, O., Şahin, U., Braxenthaler, M., Gallazzi, F., Protti, M. P., Sinigaglia, F., et al. (1999) · Nature Biotechnology · doi:10.1038/9858 · Cited by 743

Reliable B cell epitope predictions: impacts of method development and improved benchmarking

Kringelum, J. V., Lundegaard, C., Lund, O., & Nielsen, M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002829 · Cited by 697

Combined assessment of MHC binding and antigen expression improves T cell epitope predictionsPreprint

Koşaloğlu‐Yalçın, Z., Lee, J., Nielsen, M., Greenbaum, J., Schoenberger, S. P., Miller, A. M., Kim, Y. J., Sette, A., & Peters, B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.09.375204 · Cited by 2

CAVES: A Novel Tool for Comparative Analysis of Variant Epitope Sequences

Li, K., Lowey, C. A., Sandstrom, P. A., & Ji, H. (2022) · Viruses · doi:10.3390/v14061152 · Cited by 1

Computational Approaches To Design Multi Epitope-Based Vaccine Designing of Dengue virus -2 Enveloped Protein For Dengue Virus

Tariq, H., Mumtaz, M., Aslam, T., Azam, H. M. H., Hussain, N., Ali, M. U., Sarfraz, H., Zulfiqar, M., Baqar, Z., & Munir, H. (2024) · Pakistan Journal of Health Sciences · doi:10.54393/pjhs.v5i03.1341 · Cited by 1

Computational Strategies in Drug Discovery: Leveraging Subtractive Genomic Analysis for Target Identification

Patil, V., Desai, S. A., Patel, V. P., & Somase, V. (2024) · Current Pharmaceutical Biotechnology · doi:10.2174/0113892010295441240515074348 · Cited by 1

Computational Design of a Multi-Epitope Vaccine against Prevotella copri: Molecular Dynamics and Immunoinformatics Study

Ishaq, S., Habib, O., Afzal, S., Tahir, R., Mushtaq, H., Li, Z., Malik, S. I., Ullah, A., Alshaya, D. S., & Eldeen, M. A. (2024) · Journal of Computational Biophysics and Chemistry · doi:10.1142/s2737416524500728 · Cited by 1

Evidence of the efficiency of reverse vaccinology against bovine parasites: A systematic review

Nogueira, B. C. F., Honório, N. T. D. B. S., Souza, P. E. D. A., Soares, G. O., Campos, A. K., Martins, M. F., Carvalho, W. A., & Gaspar, E. B. (2024) · Acta Tropica · doi:10.1016/j.actatropica.2024.107478 · Cited by 1

Leveraging core proteome data of Kingella kingae for multi-epitope vaccine design against TonB dependent receptor (TDR): an in silico approach

Alshamrani, S., Mashraqi, M. M., Alzamami, A., Alturki, N. A., Almasoudi, H. H., Ahmed, I., & Basharat, Z. (2025) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2025.2480263 · Cited by 1

Progress Toward Antigenic Epitopes of African Swine Fever Virus and Their Identification

Ke, X., Cao, Z., Weng, Z., Xie, Y., Fengyu, W., Liu, X., Zhou, S., Lian, M., Liu, T., Sun, R., et al. (2025) · Transboundary and Emerging Diseases · doi:10.1155/tbed/2111189 · Cited by 1

Non-allergenic mixed T cell epitope peptides for preventing Scy p 9 allergic reactions

He, X., Han, X., Yang, Y., Li, F.-J., Li, D., Luo, L., Liu, H. S., Chen, X., Chen, X., & Liu, G. (2025) · Food and Chemical Toxicology · doi:10.1016/j.fct.2025.115512 · Cited by 1

Exploring approaches and advancements in the development and evaluation of multi-epitope subunit vaccines against tick-borne viruses

Saïd, M. B., & Kratou, M. (2025) · Veterinary Microbiology · doi:10.1016/j.vetmic.2025.110577 · Cited by 1

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides

Yao, L.-T., Wang, F., Xie, P.-L., Guan, J.-H., Zhao, Z.-H., He, X.-X., Liu, X.-C., Chiang, Y.-C., & Lee, T.-Y. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c00860 · Cited by 3

Design of a new multi-epitope subunit vaccine to combat the EIA virus, targeting Pol, Gag, and Env proteins: In silico technique

Rahiyab, M., Haq, I. U., Ali, S., Hussain, Z., Ali, S., Khan, I., & Iqbal, A. (2025) · Vacunas (English Edition) · doi:10.1016/j.vacune.2025.500463 · Cited by 1

Integrative and Emerging Models in Antibody Research: A Comprehensive Review

Devasani, J. R., Guntuku, G., sarabu, P., Muthyala, M. K. K., Palla, M. S., & Volety, M. S. (2025) · Antibody Therapeutics · doi:10.1093/abt/tbaf018 · Cited by 2

Genetic Variability and Prediction of T Epitopes of the HPV16 E2 Gene in Asymptomatic Women from Cajamarca, Peru

de Villa, E. B.-V., Aguilar-Luis, D., Denegri-Hinostroza, D., Aguilar-Luis, M. Á., Silva-Caso, W. G., Tarazona-Castro, Y., Becerra-Goicochea, L., Aquino-Ortega, R., Cornejo‐Tapia, A., & del Valle-Mendoza, J. (2025) · Viruses · doi:10.3390/v17111420 · Cited by 1

mRNA vaccine for human cytomegalovirus in immunocompromised hosts: An immunoinformatics approach

Ahmed, M. Z., Dilbar, S., Bukhari, S., Ali, Z., Wattoo, B., Tariq, S., Mutahir, Z., & Samad, N. (2025) · Transplant Immunology · doi:10.1016/j.trim.2025.102342 · Cited by 1

Bioinformatics-Guided structural characterization and immunogenicity assessment of multi-epitope vaccine candidates against Zika virus

Islam, M. S., Haque, M. A., Hossain, M. S., Amin, M. A., & Mahmud, S. (2026) · Journal of Genetic Engineering and Biotechnology · doi:10.1016/j.jgeb.2025.100641 · Cited by 1

iPepGen: a modular, immunopeptidogenomic analysis pipeline for discovery, verification, and prioritization of cancer peptide neoantigen candidates

Mehta, S. P., Wagner, R., Do, K. T., Johnson, J. E., Yu, F.-C., Jubenville, T. A., Richards, K., Coleman, S., Popescu, F. E., Nesvizhskii, A., et al. (2026) · Genome Biology · doi:10.1186/s13059-026-04012-2

Long Non-Coding RNA–Derived Peptides as a Novel Source of Tumor Neoantigens: Expanding the Immunopeptidome Beyond Canonical Coding Regions

López-Calvo, I., Bao-Camacho, I., Martín-Revuelta, S., Rey-Souto, C., Franco-Gacio, A., Pérez-Martínez, J. M., Sandino-Somoza, I., Mourenza, Á., Rodriguez-Belmonte, E. M., Maceiras, M. L., et al. (2026) · Biology · doi:10.3390/biology15070538 · Cited by 1

Ribosomal protein RPSA is a promising target for the prevention of Streptococcus suis serotype 2

Liu, X., Peng, B., Lv, F., Wen, G., Jin, S., Wang, D., Zhang, J., Fan, Y., Yin, Y., & Xiao, S. (2026) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-026-13828-8 · Cited by 1

In silico designing of a novel multiple epitope vaccine against vancomycin resistant Enterococcus faecalis; An immunoinformatic-guided approach

Javaid, M. M., Nasir, R., Rehman, R., Abbasi, R., Khalid, M., & Ibrahim, A. (2026) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2026.109116 · Cited by 1

Cancer epitope prediction tools and analysis pipelines in CEDAR

Carri, I., Greenbaum, J., Yan, Z., Kim, K., Kim, H., Premlal, A. L. R., Marrama, D., Blazeska, N., Carter, H. K., Lee, K.-H., et al. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag457 · Cited by 2

VaxiGen Database of Tumor Immunogens

Sotirov, S., Dimitrov, I., & Doytchinova, I. A. (2026) · Data · doi:10.3390/data11050123 · Cited by 1

Artificial intelligence advancements in monoclonal antibody development technology

Ammar, M., Samsonov, M. Y., Gurylina, E., & Bayzigitov, D. R. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1802038 · Cited by 1

Artificial intelligence in vaccine development: applications, implementation, and future directions

Kumar, S. N., Gondane, R., Mahindrakar, S. S., Vyawahare, S., Krishna, R., Subramaniam, S., Nair, B. G., Kumar, G. B., Madhavan, A., Melethadathil, N., et al. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1870890 · Cited by 2

Design of a novel epitope-based tetravalent subunit vaccine against dengue virus: An immunoinformatic approach

Ferdousy, T. J., Miraz, M. M. H., Arian, T. A., Ullah, M. A., Risat, M. T. H., Akter, M. A., Kundu, S., Sarkar, B. K., Sarkar, A. P., Khalipha, A. B. R., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0354891 · Cited by 1

Artificial intelligence can support the chemical design of multiepitope vaccine nanocarriers

Garcia-Atutxa, I., & Villanueva‐Flores, F. (2026) · Discover Chemistry. · doi:10.1007/s44371-026-00929-6 · Cited by 1

The natural history of defences

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0004 · Cited by 1

Engineering of a Multi-Epitope Subunit Vaccine Against SASRS-CoV-2 Through the Viroinformatic Approach

Shehzada, A., Sumartono, C., Nugraha, J., Susilowati, H., Wijayab, A. Y., Ahmad, H. I., Tyasningsih, W., & Rantam, F. A. (2022) · Karbala International Journal of Modern Science · doi:10.33640/2405-609x.3221 · Cited by 2

Genomics, metagenomics, and pan-genomics approaches in COVID-19

Waseem, M., Basheer, A., Anwer, F., Shahid, F., Zaheer, T., & Ali, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91794-0.00011-1 · Cited by 1

Potential honey bee (Apis mellifera) allergens associated with IgE-mediated allergy- An In-silico study

Anwar, S., Kausar, M. A., Abdalaziz, H. S. M., Elagib, H. M., Moawadh, M. S., Singh, R. K., Thakur, L., Kar, S., Najm, M. Z., Saeed, M., et al. (2023) · Cellular and Molecular Biology · doi:10.14715/cmb/2023.69.13.13 · Cited by 1

Metagenomic analysis and proteins prediction of emerging pathogens in artisanal cheese

Oliveira, W. D. C., Marques, P. H., Erhardt, M. M., Felice, A. G., Tristão, C. L. A. M., Aburjaile, F. F., Oliveira, M. B. P. P., & Richards, N. S. P. D. S. (2025) · Molecular Diversity · doi:10.1007/s11030-025-11116-7 · Cited by 1

PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model

Liu, R., Yan, S., Zhang, Z., Xu, J., Meng, Y., Zhang, Q., Wei, L., Zou, Q., & Cui, F. (2025) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2025.108448 · Cited by 1

Artificial intelligence in antibody design and development: harnessing the power of computational approaches

Kavousipour, S., Barazesh, M., & Mohammadi, S. (2025) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-025-03429-4 · Cited by 2

In-Silico Approach in the Development of Salmonella Epitope Vaccine

Rachmawati, H., Nugraheni, R. W., & Sumadi, F. A. N. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.96313 · Cited by 1

TCRpair: prediction of functional pairing between HLA-A*02:01-restricted T-cell receptor α and β chains

Mösch, A., & Frishman, D. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab573 · Cited by 1

Specificity

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0007 · Cited by 1

Antenatal Depression and Related Behaviours in Indonesia

Wahyuni, S., Misrawati, & Nauli, F. A. (2023) · KnE Medicine · doi:10.18502/kme.v3i1.12710

Development of a candidate multi-epitope vaccine against Sphingobacterium spiritivorum

Alamri, M. A. (2023) · Saudi Medical Journal · doi:10.15537/smj.2023.44.6.20220733 · Cited by 1

Genome-wide characterization of T cell responses to Bordetella pertussis reveals broad reactivity and similar polarization irrespective of childhood vaccination profilesPreprint

Antunes, R. D. S., Garrigan, E., Quiambao, L. G., Dhanda, S. K., Marrama, D., Westernberg, L., Wang, E. W., Sutherland, A., Armstrong, S. K., Brickman, T. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.24.534182 · Cited by 1

Intra-host dynamic variations in SARS-CoV-2Preprint

Li, J., Du, P., Yang, L., Zhang, J., Song, C., Chen, D., Song, Y., Ding, N., Hua, M., Han, K., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-144416/v1

Structural Analysis And Molecular Characteristics of SARSCoV-2 Spike Protein Following S494P Point Mutation: Molecular Dynamics StudyPreprint

Janlou, M. A. M., Sahebjamee, H., & Shokravi, S. (2021) · Research Square · doi:10.21203/rs.3.rs-625623/v1

Rational Vaccine Design by Reverse & Structural Vaccinology and Ontology

Ong, E. (2021) · Deep Blue (University of Michigan) · doi:10.7302/1424

Designing a New Multiepitope-based Vaccine Against COVID-19

Samiminemati, A., Tafrihi, M., Sheikhi, F., Tabari, A. R., & Haditabar, A. (2021) · Research in Molecular Medicine · doi:10.32598/rmm.9.2.1

Between-host dynamics (Epidemiology)

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0011

Parasites and their significance

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0001

Within-host dynamics and evolution

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0012

Transmission, infection, and pathogenesis

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0009

Immunogenicity of Personalized Dendritic-cell Therapy in HIV-1 Infected Individuals Under Suppressive Antiretroviral Treatment: Interim Analysis From a Phase II Clinical Trial.Preprint

Batista, M. V. D. A., Silva, L. T., Samer, S., Oshiro, T. M., Shytaj, I. L., Giron, L. B., Mantovani, N., Cruz, N., Gosuen, G. C., Ferreira, P. R. A., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-869990/v1

Socio-economic and environmental characterization of the residents of igarapé santa cruz, breves, arquipelago de marajó, pará, Brazil

Marques, J. R. A., Gutjahr, A. L. N., & Braga, C. E. D. S. (2021) · International Journal of Hydrology · doi:10.15406/ijh.2021.05.00273

Ecology

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0015

The study of evolutionary parasitology

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0002

Parasites, immunity, and sexual selection

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0006 · Cited by 1

Host–parasite genetics

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0010

Parasite immune evasion and manipulation of host phenotype

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0008 · Cited by 1

A genomic platform for epidemiological surveillance and vaccine antigen discovery using long-read amplicon sequencingPreprint

Plaza, D. F., Zerebinski, J., Broumou, I., Lautenbach, M. J., Ngasala, B., Sundling, C., & Färnert, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.08.495295

In-Silico Design of a Multi‑epitope Construct Against Influenza A Based on Nucleoprotein Gene

Rostaminia, S., Aghaei, S. S., Farahmand, B., Nazari, R., & Ghaemi, A. (2022) · International Journal of Peptide Research and Therapeutics · doi:10.1007/s10989-022-10418-w

Assessing Major Histocompatibility Complex-Associated Peptide Proteomics assay as a tool to predict immunogenicity potential of protein therapeutics and antigensPreprint

Barbero, L. M., Ianni, A. D., Fraone, T., Balestra, P., Cowan, K. J., & Sirtori, F. R. (2022) · Research Square · doi:10.21203/rs.3.rs-1944419/v1

Development a novel multi-epitope DNA vaccine against human SARS coronavirus-2: an immunoinformatics designing study

NEMATI, A. S., Mirzaie, S., MASOUMIAN, M. R., SHEIKHI, F., & Jamalan, M. (2022) · TURKISH JOURNAL OF BIOLOGY · doi:10.55730/1300-0152.2615

Análisis in silico de un candidato a vacuna multi-epítopo contra viruela del mono usando vaculonogía reversa

Oyola, C. F. M., Rosero, B. A. N., & García-López, J. P. (2022) · Revista de la Asociación Colombiana de Ciencias Biológicas · doi:10.47499/revistaaccb.v1i34.265

List of common acronyms

(2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.002.0006

Glossary

(2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.002.0007

Preface

(2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.002.0004

Copyright Page

(2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.002.0003

Identification of mouse CD4 + T cell epitopes in SARS-CoV-2 BA.1 spike and nucleocapsid for use in peptide:MHCII tetramersPreprint

Bricio-Moreno, L., de Albuquerque, J. B., Neary, J. M., Nguyen, T. K. T., Hastie, K. M., Landeras-Bueno, S., Hariharan, C., Nathan, A., Getz, M. A., Gayton, A. C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.16.566918

The comprehensive computational study on PE11 gene of Mycobacterium tuberculosis involved in virulence

Nayak, M. K., Singh, N., Dhull, K. S., Parida, P., & Mohakud, N. K. (2024) · Indian Journal of Biochemistry and Biophysics · doi:10.56042/ijbb.v61i2.1345

Unified machine learning framework uncovers overlooked bias control in immunogenic neoantigen identificationPreprint

Zhang, Z., Wu, W., Wei, L., Qi, H., & Wang, X. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.07.579420

Unlocking the antibacterial potential of bacteriocin peptides: A subtractive proteomics approach to target food spoiling Serratia marcescens

Yousafi, Q., & Fatima, D. (2024) · World Journal of Biology and Biotechnology · doi:10.33865/wjb.009.02.1249

Comparative membrane proteomic analysis of Tritrichomonas foetus isolatesPreprint

Rivero, M. B., Alonso, A. M., Abdala, M. E., Luque, M. E., Carranza, P. G., Cóceres, V. M., & Rivero, F. (2024) · Research Square · doi:10.21203/rs.3.rs-4118738/v1

Unleashing the immune arsenal: development of broad spectrum multiepitope bluetongue vaccine targeting conserved T cell epitopes of structural proteins

Kolla, H. B., Kumar, A., Dutt, M., Nanjundappa, R. H., Singh, K. P., Mertens, P., Kelvin, D. J., & Umeshappa, C. S. (2026) · BMC Genomics · doi:10.1186/s12864-025-12294-2

Advancing Tolerogenic Immunotherapy: A Multi-Epitope Vaccine Design Targeting the CYP2D6 Autoantigen in Autoimmune Hepatitis Through Immuno-InformaticsPreprint

Kolla, H. B., Kumar, A., Nanjundappa, R. H., Hillyard, B., Dutt, M., Chauhan, D. S., Marshal, J., Kelvin, D. J., & Umeshappa, C. S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.17.589809

CytoSIP: an annotated structural atlas for interactions involving cytokine or cytokine receptor

Wang, L., Sun, F. Z., Ma, H., Zhong, J., Zhang, H., Cheng, S., Wu, H., Wang, N., Zhao, M., Zhu, P., et al. (2023) · Acta Crystallographica Section A Foundations and Advances · doi:10.1107/s2053273323082396

Design of a novel epitope-based tetravalent subunit vaccine against dengue virus: an immunoinformatics approachPreprint

Ferdousy, T. J., Miraz, M. M. H., Arian, T. A., Ullah, M. A., Risat, M. T. H., Akter, M. A., Kundu, S., Sarkar, B. K., Sarkar, A. P., Khalipha, A. B. R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.28.596168

B-Cell Epitope Prediction for Antipeptide Paratopes with the HAPTIC2/HEPTAD User Toolkit (HUT)

Caoili, S. E. C. (2012) · Methods in molecular biology · doi:10.1007/978-1-0716-3914-6_2

Databases and web server for conducting reverse vaccinology

Nogueira, W. G., & Ramos, R. T. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13395-4.00011-3

De Novo Assembly of H3L and A17L Epitopes for the Rapid Development of Clade 1b MPOX Countermeasures for AfricaPreprint

Wayengera, M. (2024) · Preprints.org · doi:10.20944/preprints202408.1119.v1

Evaluating Cross-linking-driven integrative modeling in peptide-HLAII complexes prediction with insights for refining predictive accuracyPreprint

Ianni, A. D., Barbero, L. M., Cowan, K. J., & Sirtori, F. R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.03.609139

Development of a Candidate Vaccine Against Severe Fever with Thrombocytopenia Syndrome Virus Using Gn/Gc Glycoprotein Via Multiple Expression Vectors Delivered by Attenuated Salmonella Confers Effective Protection in Hdc-Sign Transduced MicePreprint

Lee, J. H., Park, J.-Y., & Senevirathne, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4946394

An integrated in silico reverse vaccinology approach for multi-epitope vaccine designing against Shigellosis caused by Shigella flexneri serotype X

Alsaiari, A. A., Gharib, A. F., Bakhuraysah, M. M., Alrehaili, A. A., Algethami, S. M., Alsaif, H. A., harthi, N. A., Burki, S., & Khan, K. (2024) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-024-00153-y

Identification of immunogenic and cross-reactive chikungunya virus-specific CD4 + T cell epitopes in chronic chikungunya viral arthritic disease in humansPreprint

Agarwal, R., Ha, C., Côrtes, F. H., Lee, Y., Martínez-Pérez, A., Gálvez, R. I., Castillo, I. N., Balmaseda, Á., Harris, E., Romero-Vivas, C. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.22.619717

Pangenome analysis of five representative Tropheryma whipplei strains following multiepitope-based vaccine design via immunoinformatic approaches

Hasan, A., Ibrahim, M. K., Alonazi, W. B., Yu, R., & Li, B. (2024) · Molecular Genetics and Genomics · doi:10.1007/s00438-024-02189-4

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