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

Harnessing deep learning to accelerate the development of antibodies and aptamers

Tan, P., Li, S., Huang, J., Zhou, Z., & Hong, L. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.12.017 · Cited by 10

AI-powered mapping of tumor immunity for optimized mRNA vaccine engineering

Srivastava, R. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1766201 · Cited by 10

Challenges in Serologic Diagnostics of Neglected Human Systemic Mycoses: An Overview on Characterization of New Targets

Inácio, M. M., Cruz-Leite, V. R. M., Moreira, A. L. E., Mattos, K., Paccez, J. D., Ruiz, O. H., Venturini, J., Melhem, M. D. S. C., Paniago, A. M. M., Soares, C. M. D. A., et al. (2022) · Pathogens · doi:10.3390/pathogens11050569 · Cited by 8

Immunodominant T cell peptides from four candidate malarial antigens as biomarkers of protective immunity against malaria

Belmonte, M., Ganeshan, H. D., Huang, J., Belmonte, A. D., Inoue, S., Velasco, R., Acheampong, N., Ofori, E. A., Akyea-Mensah, K., Frimpong, A., et al. (2023) · Vaccine · doi:10.1016/j.vaccine.2023.01.016 · Cited by 8

In-silico vaccine matching and its validation through in-vivo immune protection analysis for imported and indigenous vaccines against recent field isolate of avian influenza H9N2

Khan, K., Yaqub, T., Shabbir, M. Z., Aslam, A., Mukhtar, N., Fazal, S., Iftikhar, R., & Hassan, M. (2023) · Veterinary Vaccine · doi:10.1016/j.vetvac.2023.100029 · Cited by 8

Design of a Multi-Epitope Vaccine against Histoplasma capsulatum through Immunoinformatics Approaches

Marques, P. H., Tiwari, S., Felice, A. G., Jaiswal, A. K., Aburjaile, F. F., Azevedo, V., Silva-Vergara, M. L., Paim, K. F., Soares, S. D. C., & Fonseca, F. M. (2024) · Journal of Fungi · doi:10.3390/jof10010043 · Cited by 8

Designing a new multi epitope-based vaccine against COVID-19 disease: an immunoinformatic study based on reverse vaccinology approachPreprint

Samiminemati, A., Tafrihi, M., Sheikhi, F., Tabari, A. R., & Haditabar, A. (2021) · Research Square · doi:10.21203/rs.3.rs-206270/v1 · Cited by 8

Designing a multi-epitope vaccine targeting UPF0721 of meningitis-causing Salmonella enterica serovar Typhimurium strain L-4126 by utilizing immuno-informatics and in silico approaches

Khatrawi, E. M., Ali, S. L., Ali, S. Y., Abduldayeva, A., & Alhegaili, A. S. (2025) · Molecular Systems Design & Engineering · doi:10.1039/d5me00027k · Cited by 7

Not all T cell epitopes are equally desired: a review ofin silicotools for the prediction of cytokine-inducing potential of T-cell epitopes

Dhanda, S. K., Malviya, J., & Gupta, S. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac382 · Cited by 7

Molecular Mimicry Mapping in Streptococcus pneumoniae: Cues for Autoimmune Disorders and Implications for Immune Defense Activation

Mashraqi, M. M., Alzamami, A., Alturki, N. A., Alshamrani, S., Alshahrani, M. M., Almasoudi, H. H., & Basharat, Z. (2023) · Pathogens · doi:10.3390/pathogens12070857 · Cited by 7

CFCN: An HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning

Rao, B., Han, B., Wei, L., Zhang, Z., Jiang, X., & Manavalan, B. (2024) · Current Bioinformatics · doi:10.2174/0115748936299044240202100019 · Cited by 7

VaccineDesigner: A Web-Based Tool for Streamlined Multi-Epitope Vaccine Design

Trygoniaris, D., Korda, A., Paraskeva, A., Dushku, E., Tzimagiorgis, G., Yiangou, M., Kotzamanidis, C., & Malousi, A. (2025) · Biology · doi:10.3390/biology14081019 · Cited by 7

Bioinformatic HLA Studies in the Context of SARS‐CoV‐2 Pandemic and Review on Association of HLA Alleles with Preexisting Medical Conditions

Kesheh, M. M., Shavandi, S., Hosseini, P., Kakavand‐Ghalehnoei, R., & Keyvani, H. (2021) · BioMed Research International · doi:10.1155/2021/6693909 · Cited by 7

Revolutionizing and identifying novel drug targets in Citrobacter koseri via subtractive proteomics and development of a multi-epitope vaccine using reverse vaccinology and immuno-informatics

Fatima, I., Alshabrmi, F. M., Aziz, T., Alamri, A., Alhomrani, M., Alghamdi, S., Alghuraybi, R. A., Babalghith, A. O., Bamagous, G. A., Alhindi, Z., et al. (2024) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2024.2316762 · Cited by 10

Custommune: a web tool to design personalized and population-targeted vaccine epitopesPreprint

Tarek, M., ElHefnawi, M., Maricato, J. T., Diaz, R. S., Shytaj, I. L., & Savarino, A. (2020) · medRxiv · doi:10.1101/2020.04.25.20079426 · Cited by 5

Immunopeptidomics for Dummies: Detailed Experimental Protocols and Rapid, User-Friendly Visualization of MHC I and II Ligand Datasets with MhcVizPipePreprint

Kovalchik, K. A., Wessling, L., Saab, F., Ma, Q., Despault, J., Kubiniok, P., Hamelin, D. J., Faridi, P., Li, C., Purcell, A. W., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.02.360958 · Cited by 7

Computational approach for identifying immunogenic epitopes and optimizing peptide vaccine through in-silico cloning against Mycoplasma genitalium

Akter, A., Ananna, N. F., Ullah, H., Islam, S., Amin, M. A., Kibria, K. M. K., & Mahmud, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e28223 · Cited by 6

Rational design of a multi-epitope vaccine against heartland virus (HRTV) using immune-informatics, molecular docking and dynamics approaches.

Ahmed, M. Z., Alqahtani, A. S., & Rehman, M. T. (2024) · Acta Tropica · doi:10.1016/j.actatropica.2024.107388 · Cited by 6

Development of peptide vaccine candidate using highly antigenic PE-PGRS family proteins to stimulate the host immune response against Mycobacterium tuberculosis H37Rv: an immuno-informatics approach

Kumar, A., Sharma, P., Arun, A., & Meena, L. S. (2022) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2022.2048079 · Cited by 6

In silico identification of linear B-cell epitope in Coronavirus 2019 (SARS-CoV-2) surface glycoprotein: a prospective towards peptide vaccine

Singh, P., Tripathi, M. K., & Shrivastava, R. (2021) · Minerva Biotechnology and Biomolecular Research · doi:10.23736/s2724-542x.20.02659-2 · Cited by 6

Bioinformatics Analysis to Designing a Multi-epitope-based Peptide Vaccine Combat Leishmania major

Rouzbahani, A. K., Kheirandish, F., & Hashemzadeh, P. (2022) · Iranian Journal of Medical Microbiology · doi:10.30699/ijmm.16.5.430 · Cited by 5

APEX-pHLA: A novel method for accurate prediction of the binding between exogenous short peptides and HLA class I molecules

Su, Z., Wu, Y., Cao, K., Du, J., Cao, L., Wu, Z., Wu, X., Wang, X., Song, Y., Wang, X., et al. (2024) · Methods · doi:10.1016/j.ymeth.2024.05.013 · Cited by 7

Exploration of antigenic determinants in spike glycoprotein of SARS-CoV2 and identification of five salient potential epitopes

Agrawal, A., Varshney, R., Pathak, M., Patel, S., Rai, V., Sulabh, S., Gupta, R., Solanki, K., Varshney, R., & Nimmanapalli, R. (2021) · VirusDisease · doi:10.1007/s13337-021-00737-9 · Cited by 5

Molecular modeling and in silico characterization of mycobacterial Rv3101c and Rv3102c proteins: prerequisite molecular target in cell division

Beg, M. A., & Athar, F. (2020) · Pharmacy & Pharmacology International Journal · doi:10.15406/ppij.2020.08.00300 · Cited by 6

An integrated bioinformatics and immunoinformatics approach to design a multi-epitope-based vaccine against Langya henipavirus

Mishra, S. K., Rai, G. P., Kumar, N., Shanker, A., & Georrge, J. J. (2025) · Future Journal of Pharmaceutical Sciences · doi:10.1186/s43094-025-00815-5 · Cited by 5

An immunoinformatics-based designed multi-epitope candidate vaccine against Mycoplasma pneumoniae

Shahbazi, B., Mottaghi-Dastjerdi, N., Soltany‐Rezaee‐Rad, M., Ahmadi, K., & Niazi, M.-J. (2025) · BMC Microbiology · doi:10.1186/s12866-025-04240-9 · Cited by 5

Contriving a multi-epitope vaccine against African swine fever utilizing immunoinformatics

Fagbohun, O. A., Aiki-Raji, C. O., Omotosho, O. O., Akinniyi, O. O., Jarikre, T. A., & Emikpe, B. O. (2024) · Biomedical Research and Therapy · doi:10.15419/bmrat.v11i8.910 · Cited by 4

Expression and immunogenicity of recombinant porcine epidemic diarrhea virus Nsp9

Liu, S., Yu, Q., Li, S., Li, M., Li Jun, Y. A. N. G., Wang, Q., Tu, Z., Tao, F., Yang, P., Kong, L., et al. (2023) · Virology · doi:10.1016/j.virol.2023.109861 · Cited by 5

Rational design of a multivalent vaccine targeting arthropod-borne viruses using reverse vaccinology strategies

Dhanushkumar, T., Selvam, P. K., E, S. M., Vasudevan, K., Doss, C. G. P., Zayed, H., & Kamaraj, B. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.128753 · Cited by 5

Application of immunoinformatics to develop a novel and effective multiepitope chimeric vaccine against Variovorax durovernensis

Hasan, A., Ibrahim, M. K., Alonazi, W. B., & Shen, J. F. (2024) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2024.108266 · Cited by 5

Engineering a novel multi-epitope mRNA vaccine against major bacterial meningitis pathogens: E. coli K1, Group B Streptococcus, Listeria monocytogenes, Neisseria meningitidis, and Streptococcus pneumoniae

Fattahi, N., Khoshnood, S., Omidi, N., & Kalani, B. S. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.144311 · Cited by 5

An Overview of Current Uses and Future Opportunities for Computer-Assisted Design of Vaccines for Neglected Tropical Diseases

Robleda-Castillo, R., Ros-Lucas, A., Martínez-Peinado, N., & Alonso-Padilla, J. (2021) · Advances and Applications in Bioinformatics and Chemistry · doi:10.2147/aabc.s258759 · Cited by 5

A genomic platform for surveillance and antigen discovery in Plasmodium spp. using long-read amplicon sequencing

Plaza, D. F., Zerebinski, J., Broumou, I., Lautenbach, M. J., Ngasala, B., Sundling, C., & Färnert, A. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100574 · Cited by 5

Prediction of B- and T-cell epitopes using in-silico approaches: a solution to the development of recombinant vaccines against COVID-19

Dariushnejad, H., Ghorbanzadeh, V., & Hashemzadeh, P. (2021) · Minerva Biotechnology and Biomolecular Research · doi:10.23736/s2724-542x.20.02652-x · Cited by 5

Human antibody immune responses are personalized by selective removal of MHC-II peptide epitopesPreprint

Gutiérrez-González, M., Fahad, A. S., Ardito, M. T., Nanaware, P. P., Lu, L., Normandin, E., Madan, B., Tivin, J., Coates, E. E., Henry, A. R., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.15.426750 · Cited by 5

Exploration of hypothetical proteins and reverse vaccinology approach for novel multi-epitope vaccine design against multidrug-resistant clinical isolate Pseudomonas aeruginosa JJPA01

Narthanareeswaran, B., Narthanareeswaran, M., Ranganathan, S., Pandian, C. J., & Jeyakanthan, J. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111045 · Cited by 4

Multi-epitope vaccine design against human metapneumovirus via reverse vaccinology and molecular modelling

Bukhari, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-28522-4 · Cited by 4

Applied immunoinformatics in modern vaccine design: a comprehensive review of available computational tools

Miles, S., Mourglia‐Ettlin, G., & Chabalgoity, J. A. (2026) · Vaccine · doi:10.1016/j.vaccine.2026.128392 · Cited by 4

Crucial Parameters for Immunopeptidome Characterization: A Systematic Evaluation

Juanes‐Velasco, P., Arias‐Hidalgo, C., García‐Vaquero, M. L., Sotolongo-Ravelo, J., Paíno, T., Lécrevisse, Q., Landeira‐Viñuela, A., Góngora, R., Hernández, Á., & Fuentes, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179564 · Cited by 4

Optimising Monoclonal Antibody Drug Development for Inflammatory Bowel Disease

Colwill, M., Honap, S., Danese, S., & Peyrin‐Biroulet, L. (2025) · Clinical and Experimental Gastroenterology · doi:10.2147/ceg.s521893 · Cited by 4

Involvement of Th1Th17 Cell Subpopulations in the Immune Responses of Mothers Who Gave Birth to Children with Congenital Zika Syndrome (CZS)

Paiva, I. A., Familiar-Macedo, D., Badolato-Corrêa, J., Carvalho, F. R., Dias, H. G., Pauvolid‐Corrêa, A., Fernandes-Santos, C., Silva, A. A., de Azeredo, E. L., Vianna, R. A. D. O., et al. (2022) · Viruses · doi:10.3390/v14020250 · Cited by 4

Time-dependent contraction of the SARS-CoV-2–specific T-cell responses in convalescent individuals

Fernandes, E. R., Apostólico, J. D. S., Jacintho, L. C., Marin, M. L. C., Júnior, R. C. V. D. S., Rodrigues, H., Santos, K. S., Coelho, V. P. C. V., Boscardin, S. B., Kalil, J. E., et al. (2022) · Journal of Allergy and Clinical Immunology Global · doi:10.1016/j.jacig.2022.05.002 · Cited by 4

Vaccinomics to Design a Multiepitope Vaccine against Legionella pneumophila

Umar, A., Liaquat, S., Fatima, I., Rehman, A., Rasool, D., Alshammari, A., Alharbi, M., Rajoka, M., Khurshid, M., Ashfaq, U., et al. (2022) · BioMed Research International · doi:10.1155/2022/4975721 · Cited by 4

A therapeutic epitopes-based vaccine engineering against Salmonella enterica XDR strains for typhoid fever: a Pan-vaccinomics approach

Khan, K., Burki, S., Alsaiari, A. A., Alhuthali, H. M., Alharthi, N. S., & Jalal, K. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2246587 · Cited by 4

Design of a novel multi-epitopes vaccine against Escherichia fergusonii: a pan-proteome based in- silico approach

Almanaa, T. N. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1332378 · Cited by 4

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

Bricio-Moreno, L., de Albuquerque, J. B., Neary, J. M., Nguyen, T. K. T., Kuhn, L. F., Yeung, Y., Hastie, K. M., Landeras-Bueno, S., Olmedillas, E., Hariharan, C., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1329846 · Cited by 4

Immunoinformatics-Based Design of Multi-epitope DNA and mRNA Vaccines Against Zika Virus

Braz, J. D. M., & Batista, M. V. D. A. (2024) · Bioinformatics and Biology Insights · doi:10.1177/11779322241257037 · Cited by 4

IMGT/RobustpMHC: robust training for class-I MHC peptide binding prediction

Kushwaha, A., Duroux, P., Giudicelli, V., Todorov, K., & Κοσσίδα, Σ. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae552 · Cited by 4

Designing a multi-epitope vaccine targeting the HIV-1 subtype CRF01_AE in Indonesia

Khairunisa, S. Q., Rachman, B. E., Nasronudin, N., Fahmi, M., Dinana, I. A., & Ito, M. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109758 · Cited by 4

Immunoinformatics method to design universal multi-epitope nanoparticle vaccine for TGEV S protein

Li, S.-N., Yu, J., Xiao, C.-C., & Li, Y.-L. (2025) · Scientific Reports · doi:10.1038/s41598-025-95602-w · Cited by 5

The Bioinformatic and In Vitro Studies of Clostridioides Difficile Aminopeptidase M24 Revealed the Immunoreactive KKGIK Peptide

Pacyga-Prus, K., Razim, A., Martirosian, G., Aptekorz, M., Szuba, A., Gamian, A., Myc, A., & Górska, S. (2020) · Cells · doi:10.3390/cells9051146 · Cited by 4

Genomic Surveillance of Rabies Virus in Georgian Canines

Huaman, C., Paskey, A. C., Clouse, C., Feasley, A., Rader, M., Rice, G. K., Luquette, A. E., Fitzpatrick, M. C., Drumm, H. M., Yan, L., et al. (2023) · Viruses · doi:10.3390/v15091797 · Cited by 4

Low Genetic Diversity of Hepatitis B Virus Surface Gene amongst Australian Blood Donors

Phan, N. M. H., Faddy, H. M., Flower, R. L., Dimech, W. J., Spann, K. M., & Roulis, E. V. (2021) · Viruses · doi:10.3390/v13071275 · Cited by 4

Integrated computational approaches assisted development of a novel multi-epitope vaccine against MDR Streptococcus pseudopneumoniae

Attar, R. M. S. (2023) · Brazilian Journal of Biology · doi:10.1590/1519-6984.269313 · Cited by 4

CcBHLA: pan-specific peptide–HLA class I binding prediction via Convolutional and BiLSTM featuresPreprint

Wu, Y., Cao, L., Wu, Z., Wu, X., Wang, X., & Duan, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.24.538196 · Cited by 4

Navigating the landscape: A comprehensive overview of computational approaches in therapeutic antibody design and analysis

Yadav, A. J., Bhagat, K., Sharma, A., & Padhi, A. K. (2025) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2024.10.011 · Cited by 3

Application of machine learning and deep learning techniques on reverse vaccinology – a systematic literature review

Alashwal, H., Kochunni, N. P., & Hayawi, K. (2025) · Soft Computing · doi:10.1007/s00500-025-10480-8 · Cited by 3

The recombinant expression of egg yolk allergen vitelline glycoprotein 42 (gal d 6) and the effect of high-pressure assisted thermal processing on its allergenicity

Luo, T., Meng, X., Li, Q., Tang, X., Wang, T., Huang, Y., & Jiang, S. ‐. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.146613 · Cited by 3

Linear epitopes of bony fish β-parvalbumins

Franciskovic, E., Thörnqvist, L., Greiff, L., Gasset, M., & Ohlin, M. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1293793 · Cited by 3

Integrating Reinforcement Learning and Monte Carlo Tree Search for enhanced neoantigen vaccine design

Lin, Y., Ma, J., Yuan, H., Chen, Z., Xu, X., Jiang, M., Zhu, J., Meng, W., Qiu, W., & Liu, Y. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae247 · Cited by 4

A reverse vaccinomics approach for the designing of novel immunogenic multi-epitope vaccine construct against gas gangrene and related colorectal cancer for Clostridium septicum DSM 7534

Khanzada, M. H., Khan, A., Khan, K., Jalal, K., Aghayeva, S., & Uddin, R. (2024) · Human Immunology · doi:10.1016/j.humimm.2024.111169 · Cited by 3

In silico tools and databases for designing cancer immunotherapy

Dhall, A., Jain, S., Sharma, N., Naorem, L. D., Kaur, D., Patiyal, S., & Raghava, G. P. S. (2022) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2021.11.008 · Cited by 3

Harnessing Fuzzy Rule Based System for Screening Major Histocompatibility Complex Class I Peptide Epitopes from the Whole Proteome: An Implementation on the Proteome of Leishmania donovani

Vijayakumar, S. (2022) · Journal of Computational Biology · doi:10.1089/cmb.2021.0464 · Cited by 3

Neoepitopes prediction strategies: an integration of cancer genomics and immunoinformatics approaches

Dhanda, S. K., Mahajan, S., & Manoharan, M. (2022) · Briefings in Functional Genomics · doi:10.1093/bfgp/elac041 · Cited by 3

CytoSIP: an annotated structural atlas for interactions involving cytokines or cytokine receptors

Wang, L., Sun, F., Li, Q., Ma, H., Zhong, J., Zhang, H., Cheng, S., Wu, H., Zhao, Y., Wang, N., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06289-0 · Cited by 4

Pep2TCR: Accurate prediction of CD4 T cell receptor binding specificity through transfer learning and ensemble approach

Diao, K., Wu, T., Zhao, X., Wang, N., Qiu, D., Wang, W., Li, X., & Liu, X. (2024) · iMetaOmics. · doi:10.1002/imo2.43 · Cited by 3

Virulence evolution

Schmid‐Hempel, P. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198832140.003.0013 · Cited by 3

In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines

Abesamis, L. M. I., Aliping, E. G. A., Armada, F. K. G. H., Danao, M. F., del Valle, P. D. B., Regencia, Z. J. G., Baja, E. S., & Ligsay, A. D. (2022) · Vaccines · doi:10.3390/vaccines10081259 · Cited by 3

Recent developments in systems biology and genetic engineering toward design of vaccines for TB.

Singh, Y. P., Beamer, G., Sun, X., & Shukla, P. (2022) · PubMed · doi:10.1080/07388551.2021.1951649 · Cited by 3

Immunological Memory to Common Cold Coronaviruses Assessed Longitudinally Over a Three-Year PeriodPreprint

Yu, E. D., Narowski, T. M., Wang, E. W., Garrigan, E., Mateus, J., Frazier, A., Weiskopf, D., Grifoni, A., Premkumar, L., Antunes, R. D. S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.01.482548 · Cited by 3

Defining antigen targets to dissect vaccinia virus (VACV) and Monkeypox virus (MPXV)-specific T cell responses in humansPreprint

Grifoni, A., Zhang, Y., Tarke, A., Sidney, J., Rubiro, P., Reina-Campos, M., Filaci, G., Dan, J. M., Scheuermann, R. H., & Sette, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.06.506534 · Cited by 3

Exploring the S Protein of SARS-CoV-2 to Design a Novel Multi-Epitope Vaccine against COVID-19 Based on Immunoinformatics Approaches

Huang, Z., Shi, H., Gong, H., Sun, Q., Yang, S., Zhang, Y., Shi, Z., Xia, Z., Huang, S., Yao, S., et al. (2024) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2905196 · Cited by 2

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 mice

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