Current progress of immunoinformatics approach harnessed for cellular- and antibody-dependent vaccine design

SYFPEITHI: database for MHC ligands and peptide motifs

Rammensee, H., Bachmann, J., Emmerich, N., Bachor, O. A., & Stevanović, S. (1999) · Immunogenetics · doi:10.1007/s002510050595 · Cited by 2,316 · see citing works

Prediction of continuous B‐cell epitopes in an antigen using recurrent neural network

Saha, S., & Raghava, G. P. S. (2006) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21078 · Cited by 1,758 · see citing works

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 · see citing works

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 · see citing works

Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains.

Parker, K. C., Bednarek, M. A., & Coligan, J. E. (1994) · The Journal of Immunology · doi:10.4049/jimmunol.152.1.163 · Cited by 1,378 · see citing works

The immune epitope database (IEDB) 3.0

Vita, R., Overton, J. A., Greenbaum, J. A., Ponomarenko, J., Clark, J., Cantrell, J. R., Wheeler, D., Gabbard, J., Hix, D., Sette, A., et al. (2014) · Nucleic Acids Res. · doi:10.1093/nar/gku938 · Cited by 1,086 · see citing works

Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations

Nielsen, M., Lundegaard, C., Worning, P., Lauemøller, S. L., Lamberth, K., Buus, S., Brunak, S., & Lund, O. (2003) · Protein Science · doi:10.1110/ps.0239403 · Cited by 1,075 · see citing works

Edward Jenner and the History of Smallpox and Vaccination

Riedel, S. F. (2005) · Baylor University Medical Center Proceedings · doi:10.1080/08998280.2005.11928028 · Cited by 965 · see citing works

ProPred: prediction of HLA-DR binding sites

Singh, H., & Raghava, G. P. S. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.12.1236 · Cited by 844 · see citing works

Predicting linear B‐cell epitopes using string kernels

EL‐Manzalawy, Y., Dobbs, D. L., & Honavar, V. (2008) · Journal of Molecular Recognition · doi:10.1002/jmr.893 · Cited by 755 · see citing works

AlgPred: prediction of allergenic proteins and mapping of IgE epitopes

Saha, S., & Raghava, G. P. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl343 · Cited by 745 · see citing works

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 · see citing works

Reverse vaccinology

Rappuoli, R. (2000) · Current Opinion in Microbiology · doi:10.1016/s1369-5274(00)00119-3 · Cited by 725 · see citing works

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 · see citing works

Reverse Vaccinology: Developing Vaccines in the Era of Genomics

Sette, A., & Rappuoli, R. (2010) · Immunity · doi:10.1016/j.immuni.2010.09.017 · Cited by 561 · see citing works

Prediction of linear B-cell epitopes using amino acid pair antigenicity scale

Chen, J., Liu, H., Yang, J., & Chou, K.-C. (2007) · Amino Acids · doi:10.1007/s00726-006-0485-9 · Cited by 552 · see citing works

pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens

Hundal, J., Carreno, B. M., Petti, A. A., Linette, G. P., Griffith, O. L., Mardis, E. R., & Griffith, M. (2016) · Genome Medicine · doi:10.1186/s13073-016-0264-5 · Cited by 454 · see citing works

ProPred1: prediction of promiscuous MHC Class-I binding sites

Singh, H., & Raghava, G. P. S. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg108 · Cited by 442 · see citing works

An overview of bioinformatics tools for epitope prediction: Implications on vaccine development

Soria‐Guerra, R. E., Nieto‐Gómez, R., Govea‐Alonso, D. O., & Rosales‐Mendoza, S. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.11.003 · Cited by 441 · see citing works

Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence

Singh, H., Ansari, H. R., & Raghava, G. P. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062216 · Cited by 400 · see citing works

SVMTriP: A Method to Predict Antigenic Epitopes Using Support Vector Machine to Integrate Tri-Peptide Similarity and Propensity

Yao, B., Zhang, L., Liang, S., & Zhang, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045152 · Cited by 386 · see citing works

Enhancement to the RANKPEP resource for the prediction of peptide binding to MHC molecules using profiles

Reche, P. A., Glutting, J.-P., Zhang, H., & Reinherz, E. L. (2004) · Immunogenetics · doi:10.1007/s00251-004-0709-7 · Cited by 384 · see citing works

Synthetic Biology and Personalized Medicine

Jain, K. (2012) · Medical Principles and Practice · doi:10.1159/000341794 · Cited by 380 · see citing works

Prediction of MHC class I binding peptides using profile motifs

Reche, P. A., Glutting, J.-P., & Reinherz, E. L. (2002) · Human Immunology · doi:10.1016/s0198-8859(02)00432-9 · Cited by 376 · see citing works

An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction

Potocnakova, L., Bhide, M. R., & Pulzová, L. (2016) · Journal of Immunology Research · doi:10.1155/2016/6760830 · Cited by 371 · see citing works

Identification of conformational B-cell Epitopes in an antigen from its primary sequence

Ansari, H. R., & Raghava, G. P. S. (2010) · Immunome Research · doi:10.1186/1745-7580-6-6 · Cited by 362 · see citing works

Vaxign: The First Web-Based Vaccine Design Program for Reverse Vaccinology and Applications for Vaccine Development

He, Y. O., Xiang, Z., & Mobley, H. L. T. (2010) · BioMed Research International · doi:10.1155/2010/297505 · Cited by 356 · see citing works

Structural analysis of B-cell epitopes in antibody: protein complexes

Kringelum, J. V., Nielsen, M., Padkjær, S. B., & Lund, O. (2013) · Molecular Immunology · doi:10.1016/j.molimm.2012.06.001 · Cited by 305 · see citing works

The discovery of MHC restriction

Zinkernagel, R. M., & Doherty, P. C. (1997) · Immunology Today · doi:10.1016/s0167-5699(97)80008-4 · Cited by 289 · see citing works

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

Andreatta, M., Karosiene, E., Rasmussen, M., Stryhn, A., Buus, S., & Nielsen, M. (2015) · Immunogenetics · doi:10.1007/s00251-015-0873-y · Cited by 289 · see citing works

PEPITO: improved discontinuous B-cell epitope prediction using multiple distance thresholds and half sphere exposure

Sweredoski, M. J., & Baldi, P. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn199 · Cited by 263 · see citing works

MHCPred: a server for quantitative prediction of peptide-MHC binding

Guan, P. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg510 · Cited by 261 · see citing works

Bcipep: A database of B-cell epitopes

Saha, S., Bhasin, M., & Raghava, G. P. S. (2005) · BMC Genomics · doi:10.1186/1471-2164-6-79 · Cited by 214 · see citing works

PREDICTING FLEXIBLE LENGTH LINEAR B-CELL EPITOPES

EL‐Manzalawy, Y., Dobbs, D. L., & Honavar, V. (2008) · doi:10.1142/9781848162648_0011 · Cited by 214 · see citing works

Development and validation of a broad scheme for prediction of HLA class II restricted T cell epitopes

Paul, S., Arlehamn, C. S. L., Scriba, T. J., Dillon, M., Oseroff, C., Hinz, D., McKinney, D. M., Pro, S. C., Sidney, J., Peters, B., et al. (2015) · Journal of Immunological Methods · doi:10.1016/j.jim.2015.03.022 · Cited by 209 · see citing works

Immunoinformatics and epitope prediction in the age of genomic medicine

Backert, L., & Kohlbacher, O. (2015) · Genome Medicine · doi:10.1186/s13073-015-0245-0 · Cited by 205 · see citing works

Allermatch™, a webtool for the prediction of potential allergenicity according to current FAO/WHO Codex alimentarius guidelines

Fiers, M. W. E. J., Kleter, G. A., Nijland, H., Peijnenburg, A., Nap, J. P., & van Ham, R. C. H. J. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-133 · Cited by 182 · see citing works

EpiJen: a server for multistep T cell epitope prediction

Doytchinova, I. A., Guan, P., & Flower, D. R. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-131 · Cited by 178 · see citing works

Improving B-cell epitope prediction and its application to global antibody–antigen docking

Krawczyk, K., Liu, X., Baker, T., Shi, J., & Deane, C. M. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu190 · Cited by 174 · see citing works

The use of genomics in microbial vaccine development

Bambini, S., & Rappuoli, R. (2009) · Drug Discovery Today · doi:10.1016/j.drudis.2008.12.007 · Cited by 157 · see citing works

Emerging Vaccine Informatics

He, Y. O., Rappuoli, R., Groot, A. S. D., & Chen, R. T. (2010) · BioMed Research International · doi:10.1155/2010/218590 · Cited by 154 · see citing works

Post‐genomic vaccine development

Serruto, D., & Rappuoli, R. (2006) · FEBS Letters · doi:10.1016/j.febslet.2006.04.084 · Cited by 145 · see citing works

A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes

Bhasin, M., & Raghava, G. P. S. (2007) · Journal of Biosciences · doi:10.1007/s12038-007-0004-5 · Cited by 140 · see citing works

Efficient peptide–MHC-I binding prediction for alleles with few known binders

Jacob, L., & Vert, J. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm611 · Cited by 137 · see citing works

Prediction of β‐turns in proteins from multiple alignment using neural network

Kaur, H., & Raghava, G. P. S. (2003) · Protein Science · doi:10.1110/ps.0228903 · Cited by 136 · see citing works

Analyses of Brucella Pathogenesis, Host Immunity, and Vaccine Targets using Systems Biology and Bioinformatics

He, Y. O. (2012) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2012.00002 · Cited by 121 · see citing works

SVRMHC prediction server for MHC-binding peptides

Wan, J., Liu, W., Xu, Q., Ren, Y., Flower, D. R., & Li, T. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-463 · Cited by 100 · see citing works

Protein Science

(2018) · Protein Science · doi:10.1110/(issn)1469-896x · Cited by 100 · see citing works

Immunoinformatics: Current trends and future directions

Tong, J. C., & Ren, E. C. (2009) · Drug Discovery Today · doi:10.1016/j.drudis.2009.04.001 · Cited by 86 · see citing works

In silico-based vaccine design against Ebola virus glycoprotein

Dash, R., Das, R., Junaid, M., Akash, M. F. C., Islam, A., & Hosen, S. M. Z. (2017) · Advances and Applications in Bioinformatics and Chemistry · doi:10.2147/aabc.s115859 · Cited by 85 · see citing works

Immunoinformatics: A Brief Review

Tomar, N., & De, R. K. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1115-8_3 · Cited by 82 · see citing works

Genome-wide prediction of vaccine targets for human herpes simplex viruses using Vaxign reverse vaccinology

Xiang, Z., & He, Y. O. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-s4-s2 · Cited by 80 · see citing works

A novel HPV prophylactic peptide vaccine, designed by immunoinformatics and structural vaccinology approaches

Negahdaripour, M., Eslami, M., Nezafat, N., Hajighahramani, N., Ghoshoon, M. B., Shoolian, E., Dehshahri, A., Erfani, N., Morowvat, M. H., & Ghasemi, Y. (2017) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2017.08.002 · Cited by 79 · see citing works

Using a combined computational-experimental approach to predict antibody-specific B cell epitopes

Sela-Culang, I., Benhnia, M. R.-E.-I., Matho, M. H., Kaever, T., Maybeno, M., Schlossman, A., Nimrod, G., Li, S., Xiang, Y., Zajonc, D., et al. (2014) · Structure · doi:10.1016/j.str.2014.02.003 · Cited by 69 · see citing works

Immunoprotective potential of in silico predicted Acinetobacter baumannii outer membrane nuclease, NucAb

Garg, N., Singh, R., Shukla, G., Capalash, N., & Sharma, P. (2015) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2015.10.005 · Cited by 69 · see citing works

An In Silico Identification of Common Putative Vaccine Candidates against Treponema pallidum: A Reverse Vaccinology and Subtractive Genomics Based Approach

Jaiswal, A. K., Tiwari, S., Jamal, S. B., Barh, D., Azevedo, V., & Soares, S. D. C. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18020402 · Cited by 60 · see citing works

In Silico Analysis of Epitope-Based Vaccine Candidates against Hepatitis B Virus Polymerase Protein

Zheng, J., Lin, X., Wang, X., Zheng, L., Lan, S., Jin, S., Ou, Z., & Wu, J. (2017) · Viruses · doi:10.3390/v9050112 · Cited by 56 · see citing works

Development of a recombinant, chimeric tetravalent dengue vaccine candidate

Osorio, J. E., Partidos, C. D., Wallace, D., & Stinchcomb, D. T. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.11.022 · Cited by 54 · see citing works

A simple reference state makes a significant improvement in near‐native selections from structurally refined docking decoys

Liang, S., Liu, S., Zhang, C., & Zhou, Y. (2007) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21498 · Cited by 52 · see citing works

Improved Proteomic Approach for the Discovery of Potential Vaccine Targets in Trypanosoma cruzi

Nakayasu, E. S., Sobreira, T. J. P., Torres, R., Ganiko, L., de Oliveira, P. S. L., Marques, A. F., & de Almeida, I. C. (2011) · Journal of Proteome Research · doi:10.1021/pr200806s · Cited by 51 · see citing works

Immunogenic and Invasive Properties of Brucella melitensis 16M Outer Membrane Protein Vaccine Candidates Identified via a Reverse Vaccinology Approach

Gomez, G., Pei, J., Mwangi, W., Adams, L. G., Rice‐Ficht, A. C., & Ficht, T. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059751 · Cited by 47 · see citing works

Prediction of Promiscuous and High-Affinity Mutated MHC Binders

Bhasin, M., & Raghava, G. P. S. (2003) · Hybridoma and Hybridomics · doi:10.1089/153685903322328956 · Cited by 43 · see citing works

A Population Response Analysis Approach To Assign Class II HLA-Epitope Restrictions

Paul, S., Dillon, M., Arlehamn, C. S. L., Huang, H., Davis, M. M., McKinney, D. M., Scriba, T. J., Sidney, J., Peters, B., & Sette, A. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1403074 · Cited by 41 · see citing works

EpiToolKit—a web-based workbench for vaccine design

Schubert, B., Brachvogel, H.-P., Jürges, C., & Kohlbacher, O. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv116 · Cited by 36 · see citing works

In silicoanalysis for identifying potential vaccine candidates againstStaphylococcus aureus

Delfani, S., Fooladi, A. A. I., Mobarez, A. M., Emaneini, M., Amani, J., & Sedighian, H. (2015) · Clinical and Experimental Vaccine Research · doi:10.7774/cevr.2015.4.1.99 · Cited by 31 · see citing works

New ways to identify novel bacterial antigens for vaccine development

Movahedi, A., & Hampson, D. J. (2008) · Veterinary Microbiology · doi:10.1016/j.vetmic.2008.02.011 · Cited by 27 · see citing works

Towardsin silicodesign of epitope-based vaccines

Toussaint, N. C., & Kohlbacher, O. (2009) · Expert Opinion on Drug Discovery · doi:10.1517/17460440903242283 · Cited by 22 · see citing works

Computational Identification and Characterization of a Promiscuous T-Cell Epitope on the Extracellular Protein 85B ofMycobacteriumspp. for Peptide-Based Subunit Vaccine Design

Hossain, M. S., Azad, A. K., Chowdhury, P. A., & Wakayama, M. (2017) · BioMed Research International · doi:10.1155/2017/4826030 · Cited by 17 · see citing works

Harnessing the power of genomics and immunoinformatics to produce improved vaccines

Moise, L., Cousens, L. P., Fueyo, J., & Groot, A. S. D. (2010) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2011.534454 · Cited by 14 · see citing works

A PubMed-Wide Associational Study of Infectious Diseases

Sintchenko, V., Anthony, S., Phan, X.-H., Lin, F. P. Y., & Coiera, E. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009535 · Cited by 13 · see citing works

Immunoinformatics

De, R. K., & Tomar, N. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1115-8 · Cited by 13 · see citing works

Predicted B-cell epitopes of HER-2 oncoprotein by a bioinformatics method: a clue for breast cancer vaccine development.

Wiwanitkit, V. (2007) · PubMed · Cited by 12 · see citing works

Design and in silico analysis of pentavalent chimeric antigen against three enteropathogenic bacteria: enterotoxigenic E. coli, enterohemorragic E. coli and Shigella

Hajizade, A., Firouz, Amani, J., Arpanaei, A., & Salmanian, A. H. (2016) · Bioscience Biotechnology Research Communications · doi:10.21786/bbrc/9.1/9 · Cited by 6 · see citing works

Computational Systems Bioinformatics

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IN-SILICO APPROACH FOR PREDICTION OF VACCINE POTENTIAL ANTIGENIC PEPTIDES FROM 23-kDa TRANSMEMBRANE ANTIGEN PROTEIN OF Schistosoma haematobium

Gomase, V. S., Chitlange, N. R., Changbhale, S., Sherkhane, A. S., & K.V., K. (2012) · International Journal of Bioinformatics Research · doi:10.9735/0975-3087.4.3.276-281 · Cited by 4 · see citing works

Immunoinformatics and Systems Biology in Personalized Medicine

López–Campos, G., Bermejo-Martín, J. F., Almansa, R., & Martin-Sanchez, F. J. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1115-8_25 · Cited by 1 · see citing works

Computational approaches to therapeutic antibody design: established methods and emerging trends

Norman, R. A., Ambrosetti, F., Bonvin, A. M. J. J., Colwell, L. J., Kelm, S., Kumar, S., & Krawczyk, K. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbz095 · Cited by 219 · see citing works

Design of a multi-epitope-based vaccine targeting M-protein of SARS-CoV2: an immunoinformatics approach

Ayyagari, V. S., Venkateswarulu, T. C., Peele, K. A., & Srirama, K. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1850357 · Cited by 146 · see citing works

Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach

Naz, A., Shahid, F., Butt, T. T., Awan, F. M., Ali, A., & Malik, A. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01663 · Cited by 129 · see citing works

Exploring the out of sight antigens of SARS-CoV-2 to design a candidate multi-epitope vaccine by utilizing immunoinformatics approaches

Safavi, A., Kefayat, A., Mahdevar, E., Abiri, A., & Ghahremani, F. H. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.10.016 · Cited by 124 · see citing works

The advances in brucellosis vaccines

Hou, H., Liu, X., & Peng, Q. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.05.084 · Cited by 117 · see citing works

Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach

Qamar, M. T. U., Shokat, Z., Muneer, I., Ashfaq, U. A., Javed, H., Anwar, F., Bari, A., Zahid, B., & Saari, N. (2020) · Vaccines · doi:10.3390/vaccines8020288 · Cited by 100 · see citing works

Exploring NS3/4A, NS5A and NS5B proteins to design conserved subunit multi-epitope vaccine against HCV utilizing immunoinformatics approaches

Ikram, A., Zaheer, T., Awan, F. M., Obaid, A., Naz, A., Hanif, R., Paracha, R. Z., Ali, A., Naveed, A. K., & Janjua, H. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-34254-5 · Cited by 101 · see citing works

Predicting epitopes for vaccine development using bioinformatics tools

Yurina, V., & Adianingsih, O. R. (2022) · Therapeutic Advances in Vaccines and Immunotherapy · doi:10.1177/25151355221100218 · Cited by 98 · see citing works

Structural basis and designing of peptide vaccine using PE-PGRS family protein of Mycobacterium ulcerans—An integrated vaccinomics approach

Nain, Z., Karim, M. M., Sen, M. K., & Adhikari, U. K. (2020) · Molecular Immunology · doi:10.1016/j.molimm.2020.02.009 · Cited by 87 · see citing works

Vaccination with a novel multi-epitope ROP8 DNA vaccine against acute Toxoplasma gondii infection induces strong B and T cell responses in mice

Foroutan, M., Ghaffarifar, F., Sharifi, Z., & Dalimi, A. (2020) · Comparative Immunology Microbiology and Infectious Diseases · doi:10.1016/j.cimid.2020.101413 · Cited by 86 · see citing works

Immunoinformatics and molecular modeling approach to design universal multi-epitope vaccine for SARS-CoV-2

Khan, T., Islam, M. J., Parihar, A., Islam, R., Jerin, T. J., Dhote, R., Ali, M., Laura, F. K., & Halim, M. A. (2021) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2021.100578 · Cited by 84 · see citing works

Bioinformatics analysis of ROP8 protein to improve vaccine design against Toxoplasma gondii

Foroutan, M., Ghaffarifar, F., Sharifi, Z., Dalimi, A., & Pirestani, M. (2018) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2018.04.033 · Cited by 61 · see citing works

Immunoinformatics Approach for the Identification and Characterization of T Cell and B Cell Epitopes towards the Peptide-Based Vaccine against SARS-CoV-2

Chakraborty, C., Sharma, A. R., Bhattacharya, M., Sharma, G., & Lee, S. (2021) · Archives of Medical Research · doi:10.1016/j.arcmed.2021.01.004 · Cited by 64 · see citing works

Immunoinformatics and molecular dynamics approaches: Next generation vaccine design against West Nile virus

Khan, T., Islam, R., Jerin, T. J., Mahmud, A., Khatun, S., Kobir, A., Islam, M. N., Akter, A., & Mondal, S. I. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253393 · Cited by 57 · see citing works

Development of a Novel Multi-Epitope Vaccine Against Crimean-Congo Hemorrhagic Fever Virus: An Integrated Reverse Vaccinology, Vaccine Informatics and Biophysics Approach

Qamar, M. T. U., Ismail, S., Ahmad, S., Mirza, M. U., Abbasi, S. W., Ashfaq, U. A., & Chen, L. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.669812 · Cited by 54 · see citing works

An overview of progress from empirical to rational design in modern vaccine development, with an emphasis on computational tools and immunoinformatics approaches

Soleymani, S., Tavassoli, A., & Housaindokht, M. R. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105057 · Cited by 53 · see citing works

Proteome Wide Screening of Potential Vaccine Targets Against Brucella Melitensis

Malik, M., Ullah, A., Haq, M. U., Sanami, S., Ahmad, S., Khan, S., Al-Harbi, A. I., Abideen, S. A., Irfan, M., Afsheen, Z., et al. (2022) · Vaccines · doi:10.2139/ssrn.4187627 · Cited by 48 · see citing works

A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria

Pritam, M., Singh, G., Swaroop, S., Singh, A. K., Pandey, B. K., & Singh, S. P. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2020.04.191 · Cited by 44 · see citing works

Development of a Candidate Multi-Epitope Subunit Vaccine against Klebsiella aerogenes: Subtractive Proteomics and Immuno-Informatics Approach

Umar, A., Haque, A., Alghamdi, Y. S., Mashraqi, M., Rehman, A., Shahid, F., Khurshid, M., & Ashfaq, U. (2021) · Vaccines · doi:10.3390/vaccines9111373 · Cited by 35 · see citing works

Bioengineering of Novel Non-Replicating mRNA (NRM) and Self-Amplifying mRNA (SAM) Vaccine Candidates Against SARS-CoV-2 Using Immunoinformatics Approach

Bhattacharya, M., Sharma, A. R., Ghosh, P., Patra, P., Patra, B. C., Lee, S., & Chakraborty, C. (2022) · Molecular Biotechnology · doi:10.1007/s12033-021-00432-6 · Cited by 36 · see citing works

Recent perspectives on the virulent factors and treatment options for multidrug-resistant Acinetobacter baumannii

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Systems Biology Approaches for Therapeutics Development Against COVID-19

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Design of a Multi-epitope Vaccine Against Acinetobacter baumannii Using Immunoinformatics Approach

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Computational-Driven Epitope Verification and Affinity Maturation of TLR4-Targeting Antibodies

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Immunoinformatics design of multivalent chimeric vaccine for modulation of the immune system in Pseudomonas aeruginosa infection

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Deep learning in next-generation vaccine development for infectious diseases

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Immunoinformatic analysis of immunogenic B- and T-cell epitopes of MIC4 protein to designing a vaccine candidate againstToxoplasma gondiithrough an in-silico approach

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Design of multivalent-epitope vaccine models directed toward the world’s population against HIV-Gag polyprotein: Reverse vaccinology and immunoinformatics

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Antigenic properties of dense granule antigen 12 protein using bioinformatics tools in order to improve vaccine design againstToxoplasma gondii

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Multi-epitope vaccine against drug-resistant strains of Mycobacterium tuberculosis: a proteome-wide subtraction and immunoinformatics approach

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Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design

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Expression and purification of TolC as a recombinant protein vaccine against Shigella flexneri and evaluation of immunogenic response in mice

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Recombinant Vaccine Design Against Clostridium spp. Toxins Using Immunoinformatics Tools

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Multi epitope vaccine candidate design against Streptococcus pneumonia

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Just Keep Rolling?—An Encompassing Review towards Accelerated Vaccine Product Life Cycles

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In Silico Vaccine Design and Expression of the Multi-Component Protein Candidate against the Toxoplasma gondii Parasite from MIC13, GRA1, and SAG1 Antigens

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A novel chimeric vaccine containing multiple epitopes for simulating robust immune activation against Klebsiella pneumoniae

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Identification and application of a neutralizing epitope within alpha-hemolysin using human serum antibodies elicited by vaccination

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Anticipation of Antigenic Sites for the Goal of Vaccine Designing Against Nipah Virus: An Immunoinformatics Inquisitive Quest

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Design a multi-epitope vaccine candidate against Acinetobacter baumannii using advanced computational methods

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Exploring Highly Antigenic Protein of Campylobacter jejuni for Designing Epitope Based Vaccine: Immunoinformatics Approach

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A novel immunoinformatic approach for design and evaluation of heptavalent multiepitope foot-and-mouth disease virus vaccine

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Evaluation and Designing of Epitopic-Peptide Vaccine Against Bunyamwera orthobunyavirus Using M-Polyprotein Target Sequences

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Screening of potential antigens from whole proteome and development of multi-epitope vaccine against Rhizopus delemar using immunoinformatics approaches

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Application of Reverse Vaccinology and Immunoinformatic Strategies for the Identification of Vaccine Candidates Against Shigella flexneri

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A multi-epitope vaccine targeting a key virulence factor ClfA: An In-silico approach to combat Staphylococcus aureus infections

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In Silico Analysis of the ROP29 Protein as a Vaccine Candidate Against Toxoplasma gondii

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In Silico–Based Investigation of the Immunogenicity and Biochemical Attributes of Toxoplasma gondii Apical Membrane Antigen 1 (TgAMA1)

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Mass spectrometry-based immunopeptidomics and computational vaccinology strategies for the identification of universal Shigella immunogenic candidates

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Completing the pieces of a puzzle: in-depth probing of Toxoplasma gondii rhoptry protein 4 as a promising target for vaccination using an in-silico approach

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Molecular dynamics simulation based prediction of T-cell epitopes for the production of effector molecules for liver cancer immunotherapy

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In Silico Analysis and Characterization of the Immunogenicity of Toxoplasma gondii Rhoptry Protein 18

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In-silico design and evaluation of a novel mRNA vaccine against human bocavirus 1: A neglected viral pathogen

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Evaluation of Launaea Angustifolia Extract Treatment on Rat Blood Serum Enzymes and Histology of Liver and Kidney

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Immunoinformatics aided designing of a next generation poly-epitope vaccine against uropathogenic Escherichia coli to combat urinary tract infections

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A Novel Chimeric Antigen as a Vaccine Candidate against Leishmania major: In silico Analysis

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Design of a novel multi-epitope vaccine candidate against endometrial cancer using immunoinformatics and bioinformatics approaches

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Toxoplasma gondii ( GRA10 ): A Closer Glance Into Immunogenic and Biochemical Characteristics Using In Silico Approach

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Identification of Potent Vaccine Candidates Against Campylobacter jejuni Using Immunoinformatics Approach

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Immunoselective progression of a multi-epitope-based subunit vaccine candidate to convey protection against the parasite Onchocerca lupi

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Design and validation of a multi-epitope vaccine candidate against Acinetobacter baumannii using advanced computational methodsPreprint

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Conserved Domains in Variable Surface Lipoproteins A-G of Mycoplasma hyorhinis May Serve as Probable Multi-Epitope Candidate Vaccine: Computational Reverse Vaccinology Approach

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Chimeric vaccine design against the conserved TonB-dependent receptor-like β-barrel domain from the outer membrane tbpA and hpuB proteins of Kingella kingae ATCC 23330

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Comprehensive bioinformatics assessments of the ROP34 of Toxoplasma gondii to approach vaccine candidates

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Forecast of cytotoxic T lymphocyte epitope using sequence weighting and artificial neural network based on EasyPred modeler

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In silico Analysis of Toxoplasma gondii Surface and Secretory Proteins for the Design of a Novel Chimeric Vaccine

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Immunoinformatics-guided design of a conserved multi-epitope vaccine candidate against pathogenic human coronaviruses

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Developing COVID-19 Vaccines by Innovative Bioinformatics Approaches

Jakhar, R., Sehrawat, N., & Gakhar, S. K. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-68936-0_9 · Cited by 1 · see citing works

Trichinellosis: A Hidden Threat in Meat Consumption

(2023) · International Journal of Agriculture and Biosciences · doi:10.47278/book.zoon/2023.72 · Cited by 1 · see citing works

Immunoinformatics and its Role in Vaccine Development

Mehmood, I., Bari, A., Ahmad, S., Naz, A., Shahid, F., Ashfaq, U. A., Tusleem, K., & Qamar, M. T. U. (2021) · Frontiers in protein and peptide sciences · doi:10.2174/9789815036663121020004 · Cited by 2 · see citing works

Computational vaccinology and epitope vaccine design by immunoinformatics

Khalili, S., Jahangiri, A., Borna, H., Zanoos, K. A., & Amani, J. (2014) · Acta Microbiologica et Immunologica Hungarica · doi:10.1556/amicr.61.2014.3.4 · Cited by 49 · see citing works

Immunoinformatics in Drug Designing

Das, A., Nandi, A., Kumari, V., & Chander, S. (2024) · Apple Academic Press eBooks · doi:10.1201/9781003455424-7

Immunoinformatics: In Silico Approaches and Computational Design of a Multi-epitope, Immunogenic Protein

Bahrami, A. A., Payandeh, Z., Khalili, S., Zakeri, A., & Bandehpour, M. (2019) · International Reviews of Immunology · doi:10.1080/08830185.2019.1657426 · Cited by 127 · see citing works

Vaccines and Immunoinformatics for Vaccine Design

Joon, S., Singla, R. K., & Shen, B. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-981-16-8969-7_5 · Cited by 21 · see citing works