{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:56:17Z","timestamp":1754160977835,"version":"3.41.2"},"reference-count":125,"publisher":"Elsevier","isbn-type":[{"type":"print","value":"9780323907316"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1016\/bs.vh.2021.06.004","type":"book-chapter","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T21:19:58Z","timestamp":1629407998000},"page":"157-187","source":"Crossref","is-referenced-by-count":4,"title":["Immunoinformatics aided design of peptide-based vaccines against ebolaviruses"],"prefix":"10.1016","member":"78","reference":[{"author":"About CABS-dock","key":"10.1016\/bs.vh.2021.06.004_bb0010"},{"issue":"3","key":"10.1016\/bs.vh.2021.06.004_bb0015","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","article-title":"Basic local alignment search tool","volume":"215","author":"Altschul","year":"1990","journal-title":"Journal of Molecular Biology"},{"issue":"8","key":"10.1016\/bs.vh.2021.06.004_bb0020","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1038\/nrmicro1211","article-title":"The success and failure of BCG\u2014Implications for a novel tuberculosis vaccine","volume":"3","author":"Andersen","year":"2005","journal-title":"Nature Reviews. Microbiology"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0025","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1093\/bioinformatics\/btv639","article-title":"Gapped sequence alignment using artificial neural networks: Application to the MHC class I system","volume":"32","author":"Andreatta","year":"2016","journal-title":"Bioinformatics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0030","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/978-1-4939-7841-0_18","article-title":"Bioinformatics tools for the prediction of T-cell epitopes","volume":"1785","author":"Andreatta","year":"2018","journal-title":"Methods in Molecular Biology"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0035","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1093\/nar\/28.1.235","article-title":"The protein data bank","volume":"28","author":"Berman","year":"2000","journal-title":"Nucleic Acids Research"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0040","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s12038-007-0004-5","article-title":"A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes","volume":"32","author":"Bhasin","year":"2007","journal-title":"Journal of Biosciences"},{"key":"10.1016\/bs.vh.2021.06.004_bb0045","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.ymeth.2015.07.004","article-title":"Modeling of protein\u2013peptide interactions using the CABS-dock web server for binding site search and flexible docking","volume":"93","author":"Blaszczyk","year":"2016","journal-title":"Methods"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0050","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1128\/CMR.00003-16","article-title":"Diagnosis of Ebola virus disease: Past, present, and future","volume":"29","author":"Broadhurst","year":"2016","journal-title":"Clinical Microbiology Reviews"},{"key":"10.1016\/bs.vh.2021.06.004_bb0055","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1186\/1471-2105-7-153","article-title":"Predicting population coverage of T-cell epitope-based diagnostics and vaccines","volume":"7","author":"Bui","year":"2006","journal-title":"BMC Bioinformatics"},{"issue":"9","key":"10.1016\/bs.vh.2021.06.004_bb0060","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1016\/S0198-8859(01)00298-1","article-title":"Analysis of the frequencies of HLA-A, B, and C alleles and haplotypes in the five major ethnic groups of the United States reveals high levels of diversity in these loci and contrasting distribution patterns in these populations","volume":"62","author":"Cao","year":"2001","journal-title":"Human Immunology"},{"issue":"39\u201340","key":"10.1016\/bs.vh.2021.06.004_bb0065","doi-asserted-by":"crossref","first-page":"6852","DOI":"10.1016\/j.vaccine.2007.07.027","article-title":"Influenza vaccine: The challenge of antigenic drift","volume":"25","author":"Carrat","year":"2007","journal-title":"Vaccine"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0070","doi-asserted-by":"crossref","first-page":"22843","DOI":"10.1038\/srep22843","article-title":"A web server and mobile app for computing hemolytic potency of peptides","volume":"6","author":"Chaudhary","year":"2016","journal-title":"Scientific Reports"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0075","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3349\/ymj.2007.48.1.11","article-title":"The HLA system: Genetics, immunology, clinical testing, and clinical implications","volume":"48","author":"Choo","year":"2007","journal-title":"Yonsei Medical Journal"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0080","doi-asserted-by":"crossref","first-page":"50","DOI":"10.7774\/cevr.2014.3.1.50","article-title":"Vaccine allergies","volume":"3","author":"Chung","year":"2014","journal-title":"Clinical and Experimental Vaccine Research"},{"author":"ClinicalTrials\u2014NCT00002916","key":"10.1016\/bs.vh.2021.06.004_bb0085"},{"author":"ClinicalTrials\u2014NCT00094653","key":"10.1016\/bs.vh.2021.06.004_bb0090"},{"author":"ClinicalTrials\u2014NCT00425360","key":"10.1016\/bs.vh.2021.06.004_bb0095"},{"author":"ClinicalTrials\u2014NCT00854789","key":"10.1016\/bs.vh.2021.06.004_bb0100"},{"author":"ClinicalTrials\u2014NCT01009762","key":"10.1016\/bs.vh.2021.06.004_bb0105"},{"author":"ClinicalTrials\u2014NCT01069653","key":"10.1016\/bs.vh.2021.06.004_bb0110"},{"author":"ClinicalTrials\u2014NCT01266083","key":"10.1016\/bs.vh.2021.06.004_bb0115"},{"author":"ClinicalTrials\u2014NCT01341704","key":"10.1016\/bs.vh.2021.06.004_bb0120"},{"author":"ClinicalTrials\u2014NCT01687595","key":"10.1016\/bs.vh.2021.06.004_bb0125"},{"author":"ClinicalTrials\u2014NCT02455557","key":"10.1016\/bs.vh.2021.06.004_bb0130"},{"author":"ClinicalTrials\u2014NCT03284866","key":"10.1016\/bs.vh.2021.06.004_bb0135"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0140","first-page":"448","article-title":"EpiDope: A deep neural network for linear B-cell epitope prediction","volume":"37","author":"Collatz","year":"2020","journal-title":"bioRxiv"},{"issue":"22","key":"10.1016\/bs.vh.2021.06.004_bb0145","doi-asserted-by":"crossref","first-page":"10881","DOI":"10.1093\/nar\/16.22.10881","article-title":"Multiple sequence alignment with hierarchical clustering","volume":"16","author":"Corpet","year":"1988","journal-title":"Nucleic Acids Research"},{"issue":"Suppl. 1","key":"10.1016\/bs.vh.2021.06.004_bb0150","first-page":"4942","article-title":"HLA alleles and haplotypes frequency in the population of the republic of Tatarstan, Russia","volume":"130","author":"Davidyuk","year":"2017","journal-title":"Blood"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0155","first-page":"82","article-title":"Pymol: An open-source molecular graphics tool","volume":"40","author":"DeLano","year":"2002","journal-title":"CCP4 Newsletter on Protein Crystallography"},{"author":"Democratic Republic of the Congo (DRC)\u2014Ebola Situation Report #35\u2014November 10, 2020","key":"10.1016\/bs.vh.2021.06.004_bb0160"},{"key":"10.1016\/bs.vh.2021.06.004_bb0165","series-title":"Immunoinformatics","first-page":"333","article-title":"T-cell epitope prediction methods: An overview","author":"Desai","year":"2014"},{"issue":"9","key":"10.1016\/bs.vh.2021.06.004_bb0170","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1111\/1348-0421.12436","article-title":"Metadherin peptides containing CD4(+) and CD8(+) T cell epitopes as a therapeutic vaccine candidate against cancer","volume":"60","author":"Dhiman","year":"2016","journal-title":"Microbiology and Immunology"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0175","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1007\/s00894-014-2278-5","article-title":"AllerTOP v.2\u2014A server for in silico prediction of allergens","volume":"20","author":"Dimitrov","year":"2014","journal-title":"Journal of Molecular Modeling"},{"year":"2008","series-title":"Discovery studio. Accelrys [2.1]","author":"Discovery Studio","key":"10.1016\/bs.vh.2021.06.004_bb0180"},{"issue":"9","key":"10.1016\/bs.vh.2021.06.004_bb0185","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1084\/jem.188.9.1553","article-title":"Heteroclitic immunization induces tumor immunity","volume":"188","author":"Dyall","year":"1998","journal-title":"The Journal of Experimental Medicine"},{"issue":"5","key":"10.1016\/bs.vh.2021.06.004_bb0190","doi-asserted-by":"crossref","first-page":"1792","DOI":"10.1093\/nar\/gkh340","article-title":"MUSCLE: Multiple sequence alignment with high accuracy and high throughput","volume":"32","author":"Edgar","year":"2004","journal-title":"Nucleic Acids Research"},{"author":"EMA","key":"10.1016\/bs.vh.2021.06.004_bb0195"},{"year":"2016","series-title":"A comprehensive guide to toxicology in nonclinical drug development","author":"Faqi","key":"10.1016\/bs.vh.2021.06.004_bb0200"},{"author":"FDA","key":"10.1016\/bs.vh.2021.06.004_bb0205"},{"author":"Filoviridae","key":"10.1016\/bs.vh.2021.06.004_bb0210"},{"issue":"D1","key":"10.1016\/bs.vh.2021.06.004_bb0215","first-page":"D783","article-title":"Allele frequency net database (AFND) 2020 update: Gold-standard data classification, open access genotype data and new query tools","volume":"48","author":"Gonzalez-Galarza","year":"2020","journal-title":"Nucleic Acids Research"},{"issue":"5","key":"10.1016\/bs.vh.2021.06.004_bb0220","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1002\/mnfr.201500769","article-title":"AllergenOnline: A peer-reviewed, curated allergen database to assess novel food proteins for potential cross-reactivity","volume":"60","author":"Goodman","year":"2016","journal-title":"Molecular Nutrition & Food Research"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0225","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1021\/pr070527b","article-title":"In silico tools for predicting peptides binding to HLA-class II molecules: More confusion than conclusion","volume":"7","author":"Gowthaman","year":"2008","journal-title":"Journal of Proteome Research"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0230","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1002\/jmr.815","article-title":"Towards a consensus on datasets and evaluation metrics for developing B-cell epitope prediction tools","volume":"20","author":"Greenbaum","year":"2007","journal-title":"Journal of Molecular Recognition"},{"issue":"Suppl. 2","key":"10.1016\/bs.vh.2021.06.004_bb0235","doi-asserted-by":"crossref","first-page":"W270","DOI":"10.1093\/nar\/gkr366","article-title":"SwissDock, a protein-small molecule docking web service based on EADock DSS","volume":"39","author":"Grosdidier","year":"2011","journal-title":"Nucleic Acids Research"},{"issue":"7","key":"10.1016\/bs.vh.2021.06.004_bb0240","doi-asserted-by":"crossref","first-page":"632","DOI":"10.2174\/092986607781483831","article-title":"ParDOCK: An all atom energy based Monte Carlo docking protocol for protein-ligand complexes","volume":"14","author":"Gupta","year":"2007","journal-title":"Protein and Peptide Letters"},{"issue":"9","key":"10.1016\/bs.vh.2021.06.004_bb0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0073957","article-title":"In silico approach for predicting toxicity of peptides and proteins","volume":"8","author":"Gupta","year":"2013","journal-title":"PLoS One"},{"key":"10.1016\/bs.vh.2021.06.004_bb0250","first-page":"3","article-title":"In silico tools for exploring potential human allergy to proteins","volume":"17\u201318","author":"Hayes","year":"2015","journal-title":"Drug Discovery Today: Disease Models"},{"key":"10.1016\/bs.vh.2021.06.004_bb0255","first-page":"218590","article-title":"Emerging vaccine informatics","volume":"2010","author":"He","year":"2010","journal-title":"Journal of Biomedicine & Biotechnology"},{"author":"IPD-IMGT\/HLA Statistics","key":"10.1016\/bs.vh.2021.06.004_bb0260"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0265","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1038\/s41572-020-0147-3","article-title":"Ebola virus disease","volume":"6","author":"Jacob","year":"2020","journal-title":"Nature Reviews. Disease Primers"},{"key":"10.1016\/bs.vh.2021.06.004_bb0270","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.jtbi.2019.01.016","article-title":"Computational analysis in designing T cell epitopes enriched peptides of Ebola glycoprotein exhibiting strong binding interaction with HLA molecules","volume":"465","author":"Jain","year":"2019","journal-title":"Journal of Theoretical Biology"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0275","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1007\/s00430-019-00584-y","article-title":"Conserved peptide vaccine candidates containing multiple Ebola nucleoprotein epitopes display interactions with diverse HLA molecules","volume":"208","author":"Jain","year":"2019","journal-title":"Medical Microbiology and Immunology"},{"issue":"10","key":"10.1016\/bs.vh.2021.06.004_bb0280","doi-asserted-by":"crossref","first-page":"850","DOI":"10.3390\/pathogens9100850","article-title":"Immunological perspective for Ebola virus infection and various treatment measures taken to fight the disease","volume":"9","author":"Jain","year":"2020","journal-title":"Pathogens"},{"issue":"7","key":"10.1016\/bs.vh.2021.06.004_bb0285","doi-asserted-by":"crossref","first-page":"626","DOI":"10.2174\/092986607781483859","article-title":"PEPstr: A de novo method for tertiary structure prediction of small bioactive peptides","volume":"14","author":"Kaur","year":"2007","journal-title":"Protein and Peptide Letters"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0290","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s00134-020-05949-z","article-title":"Treatment of Ebola-related critical illness","volume":"46","author":"Kiiza","year":"2020","journal-title":"Intensive Care Medicine"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0295","doi-asserted-by":"crossref","first-page":"e71","DOI":"10.1371\/journal.pcbi.0020071","article-title":"Immunoinformatics comes of age","volume":"2","author":"Korber","year":"2006","journal-title":"PLoS Computational Biology"},{"issue":"12","key":"10.1016\/bs.vh.2021.06.004_bb0300","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002829","article-title":"Reliable B cell epitope predictions: Impacts of method development and improved benchmarking","volume":"8","author":"Kringelum","year":"2012","journal-title":"PLoS Computational Biology"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0305","doi-asserted-by":"crossref","first-page":"12512","DOI":"10.1038\/srep12512","article-title":"An in silico platform for predicting, screening and designing of antihypertensive peptides","volume":"5","author":"Kumar","year":"2015","journal-title":"Scientific Reports"},{"issue":"W1","key":"10.1016\/bs.vh.2021.06.004_bb0310","doi-asserted-by":"crossref","first-page":"W419","DOI":"10.1093\/nar\/gkv456","article-title":"CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding site","volume":"43","author":"Kurcinski","year":"2015","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/bs.vh.2021.06.004_bb0315","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/1745-7580-2-2","article-title":"Improved method for predicting linear B-cell epitopes","volume":"2","author":"Larsen","year":"2006","journal-title":"Immunome Research"},{"key":"10.1016\/bs.vh.2021.06.004_bb0320","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1186\/1471-2105-8-424","article-title":"Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction","volume":"8","author":"Larsen","year":"2007","journal-title":"BMC Bioinformatics"},{"issue":"3","key":"10.1016\/bs.vh.2021.06.004_bb0325","doi-asserted-by":"crossref","first-page":"515","DOI":"10.3390\/vaccines2030515","article-title":"Peptide vaccine: Progress and challenges","volume":"2","author":"Li","year":"2014","journal-title":"Vaccines (Basel)"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0330","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1186\/s12859-014-0414-y","article-title":"EPMLR: Sequence-based linear B-cell epitope prediction method using multiple linear regression","volume":"15","author":"Lian","year":"2014","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0335","series-title":"Immunoinformatics","first-page":"289","article-title":"EPCES and EPSVR: Prediction of B-cell antigenic epitopes on protein surfaces with conformational information","author":"Liang","year":"2020"},{"issue":"Suppl. 12","key":"10.1016\/bs.vh.2021.06.004_bb0340","doi-asserted-by":"crossref","first-page":"S22","DOI":"10.1186\/1471-2105-9-S12-S22","article-title":"Evaluation of MHC-II peptide binding prediction servers: Applications for vaccine research","volume":"9","author":"Lin","year":"2008","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0345","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/978-1-0716-0389-5_11","article-title":"An immunoinformatics approach in design of synthetic peptide vaccine against influenza virus","volume":"2131","author":"Lohia","year":"2020","journal-title":"Methods in Molecular Biology"},{"issue":"11","key":"10.1016\/bs.vh.2021.06.004_bb0350","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1093\/bioinformatics\/btn128","article-title":"Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers","volume":"24","author":"Lundegaard","year":"2008","journal-title":"Bioinformatics"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0355","doi-asserted-by":"crossref","first-page":"3210","DOI":"10.1021\/acs.chemrev.9b00472","article-title":"Peptide-based vaccines: Current progress and future challenges","volume":"120","author":"Malonis","year":"2020","journal-title":"Chemical Reviews"},{"key":"10.1016\/bs.vh.2021.06.004_bb0360","doi-asserted-by":"crossref","first-page":"1695","DOI":"10.3389\/fimmu.2018.01695","article-title":"iBCE-EL: A new ensemble learning framework for improved linear B-cell epitope prediction","volume":"9","author":"Manavalan","year":"2018","journal-title":"Frontiers in Immunology"},{"issue":"Suppl. 2","key":"10.1016\/bs.vh.2021.06.004_bb0365","doi-asserted-by":"crossref","first-page":"W498","DOI":"10.1093\/nar\/gkp323","article-title":"PEP-FOLD: An online resource for de novo peptide structure prediction","volume":"37","author":"Maupetit","year":"2009","journal-title":"Nucleic Acids Research"},{"issue":"Suppl. 1","key":"10.1016\/bs.vh.2021.06.004_bb0370","doi-asserted-by":"crossref","first-page":"S18","DOI":"10.1186\/1471-2105-9-S1-S18","article-title":"Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis","volume":"9","author":"Miotto","year":"2008","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0375","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1111\/sji.12329","article-title":"Clinical role of human leukocyte antigen in health and disease","volume":"82","author":"Mosaad","year":"2015","journal-title":"Scandinavian Journal of Immunology"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0380","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0005861","article-title":"AllerHunter: A SVM-pairwise system for assessment of allergenicity and allergic cross-reactivity in proteins","volume":"4","author":"Muh","year":"2009","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/bs.vh.2021.06.004_bb0385","doi-asserted-by":"crossref","first-page":"1486","DOI":"10.1086\/315871","article-title":"Synthetic malaria peptide vaccine elicits high levels of antibodies in vaccines of defined HLA genotypes","volume":"182","author":"Nardin","year":"2000","journal-title":"The Journal of Infectious Diseases"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0390","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1186\/1471-2105-10-296","article-title":"NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction","volume":"10","author":"Nielsen","year":"2009","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0395","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1186\/1471-2105-8-238","article-title":"Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method","volume":"8","author":"Nielsen","year":"2007","journal-title":"BMC Bioinformatics"},{"issue":"5","key":"10.1016\/bs.vh.2021.06.004_bb0400","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1110\/ps.0239403","article-title":"Reliable prediction of T-cell epitopes using neural networks with novel sequence representations","volume":"12","author":"Nielsen","year":"2003","journal-title":"Protein Science"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0405","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1006\/jmbi.2000.4042","article-title":"T-coffee: A novel method for fast and accurate multiple sequence alignment 11 edited by J. Thornton","volume":"302","author":"Notredame","year":"2000","journal-title":"Journal of Molecular Biology"},{"author":"Peptide Match (PIR)","key":"10.1016\/bs.vh.2021.06.004_bb0410"},{"key":"10.1016\/bs.vh.2021.06.004_bb0415","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1146\/annurev-immunol-082119-124838","article-title":"T cell epitope predictions","volume":"38","author":"Peters","year":"2020","journal-title":"Annual Review of Immunology"},{"issue":"13","key":"10.1016\/bs.vh.2021.06.004_bb0420","doi-asserted-by":"crossref","first-page":"1605","DOI":"10.1002\/jcc.20084","article-title":"UCSF chimera\u2014A visualization system for exploratory research and analysis","volume":"25","author":"Pettersen","year":"2004","journal-title":"Journal of Computational Chemistry"},{"key":"10.1016\/bs.vh.2021.06.004_bb0425","first-page":"849","article-title":"B cell epitope prediction","volume":"2","author":"Ponomarenko","year":"2009","journal-title":"Structural Bioinformatics"},{"issue":"Web server issue","key":"10.1016\/bs.vh.2021.06.004_bb0430","doi-asserted-by":"crossref","first-page":"W59","DOI":"10.1093\/nar\/gku395","article-title":"SEPPA 2.0\u2014More refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen","volume":"42","author":"Qi","year":"2014","journal-title":"Nucleic Acids Research"},{"issue":"3\u20134","key":"10.1016\/bs.vh.2021.06.004_bb0435","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s002510050595","article-title":"SYFPEITHI: Database for MHC ligands and peptide motifs","volume":"50","author":"Rammensee","year":"1999","journal-title":"Immunogenetics"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0440","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s10989-019-09918-z","article-title":"Epitope prediction by novel Immunoinformatics approach: A state-of-the-art review","volume":"26","author":"Raoufi","year":"2020","journal-title":"International Journal of Peptide Research and Therapeutics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0445","doi-asserted-by":"crossref","first-page":"349049","DOI":"10.1155\/2015\/349049","article-title":"Peptide-based immunotherapeutics and vaccines 2015","volume":"2015","author":"Reche","year":"2015","journal-title":"Journal of Immunology Research"},{"key":"10.1016\/bs.vh.2021.06.004_bb0450","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/978-1-60327-118-9_13","article-title":"Prediction of peptide-MHC binding using profiles","volume":"409","author":"Reche","year":"2007","journal-title":"Methods in Molecular Biology"},{"issue":"W1","key":"10.1016\/bs.vh.2021.06.004_bb0455","doi-asserted-by":"crossref","first-page":"W449","DOI":"10.1093\/nar\/gkaa379","article-title":"NetMHCpan-4.1 and NetMHCIIpan-4.0: Improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data","volume":"48","author":"Reynisson","year":"2020","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/bs.vh.2021.06.004_bb0460","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-30220-9_16","article-title":"BcePred: Prediction of continuous B-cell epitopes in antigenic sequences using physico-chemical properties","author":"Saha","year":"2004"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0465","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1002\/prot.21078","article-title":"Prediction of continuous B-cell epitopes in an antigen using recurrent neural network","volume":"65","author":"Saha","year":"2006","journal-title":"Proteins"},{"issue":"Suppl. 2","key":"10.1016\/bs.vh.2021.06.004_bb0470","doi-asserted-by":"crossref","first-page":"W202","DOI":"10.1093\/nar\/gkl343","article-title":"AlgPred: Prediction of allergenic proteins and mapping of IgE epitopes","volume":"34","author":"Saha","year":"2006","journal-title":"Nucleic Acids Research"},{"issue":"4\u20135","key":"10.1016\/bs.vh.2021.06.004_bb0475","doi-asserted-by":"crossref","first-page":"369","DOI":"10.3233\/ISI-2007-00295","article-title":"Prediction of neurotoxins based on their function and source","volume":"7","author":"Saha","year":"2007","journal-title":"In Silico Biology"},{"key":"10.1016\/bs.vh.2021.06.004_bb0480","doi-asserted-by":"crossref","first-page":"2680160","DOI":"10.1155\/2017\/2680160","article-title":"Fundamentals and methods for T-and B-cell epitope prediction","volume":"2017","author":"Sanchez-Trincado","year":"2017","journal-title":"Journal of Immunology Research"},{"issue":"Suppl. 2","key":"10.1016\/bs.vh.2021.06.004_bb0485","doi-asserted-by":"crossref","first-page":"W363","DOI":"10.1093\/nar\/gki481","article-title":"PatchDock and SymmDock: Servers for rigid and symmetric docking","volume":"33","author":"Schneidman-Duhovny","year":"2005","journal-title":"Nucleic Acids Research"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0490","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1099\/00222615-39-4-241","article-title":"Synthetic peptide vaccines","volume":"39","author":"Sesardic","year":"1993","journal-title":"Journal of Medical Microbiology"},{"key":"10.1016\/bs.vh.2021.06.004_bb0495","series-title":"Drug discovery and development-new advances","article-title":"Molecular docking in modern drug discovery: Principles and recent applications","author":"Sethi","year":"2019"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0500","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1038\/jhg.2008.5","article-title":"The HLA genomic loci map: Expression, interaction, diversity and disease","volume":"54","author":"Shiina","year":"2009","journal-title":"Journal of Human Genetics"},{"key":"10.1016\/bs.vh.2021.06.004_bb0505","doi-asserted-by":"crossref","first-page":"572681","DOI":"10.3389\/fcimb.2020.572681","article-title":"Antibody-dependent enhancement: A challenge for developing a safe dengue vaccine","volume":"10","author":"Shukla","year":"2020","journal-title":"Frontiers in Cellular and Infection Microbiology"},{"key":"10.1016\/bs.vh.2021.06.004_bb0510","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1038\/msb.2011.75","article-title":"Fast, scalable generation of high-quality protein multiple sequence alignments using clustal omega","volume":"7","author":"Sievers","year":"2011","journal-title":"Molecular Systems Biology"},{"issue":"12","key":"10.1016\/bs.vh.2021.06.004_bb0515","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1093\/bioinformatics\/17.12.1236","article-title":"ProPred: Prediction of HLA-DR binding sites","volume":"17","author":"Singh","year":"2001","journal-title":"Bioinformatics"},{"issue":"1","key":"10.1016\/bs.vh.2021.06.004_bb0520","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1186\/s13062-015-0103-4","article-title":"PEPstrMOD: Structure prediction of peptides containing natural, non-natural and modified residues","volume":"10","author":"Singh","year":"2015","journal-title":"Biology Direct"},{"issue":"3","key":"10.1016\/bs.vh.2021.06.004_bb0525","doi-asserted-by":"crossref","first-page":"282","DOI":"10.2174\/156720111795256192","article-title":"Peptide-based subunit nanovaccines","volume":"8","author":"Skwarczynski","year":"2011","journal-title":"Current Drug Delivery"},{"issue":"17","key":"10.1016\/bs.vh.2021.06.004_bb0530","doi-asserted-by":"crossref","first-page":"2657","DOI":"10.2217\/nnm.14.187","article-title":"Recent advances in peptide-based subunit nanovaccines","volume":"9","author":"Skwarczynski","year":"2014","journal-title":"Nanomedicine (London, England)"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0535","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1039\/C5SC03892H","article-title":"Peptide-based synthetic vaccines","volume":"7","author":"Skwarczynski","year":"2016","journal-title":"Chemical Science"},{"key":"10.1016\/bs.vh.2021.06.004_bb0540","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.jbi.2014.11.003","article-title":"An overview of bioinformatics tools for epitope prediction: Implications on vaccine development","volume":"53","author":"Soria-Guerra","year":"2015","journal-title":"Journal of Biomedical Informatics"},{"issue":"26","key":"10.1016\/bs.vh.2021.06.004_bb0545","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1016\/j.vaccine.2016.03.073","article-title":"Status of research and development of vaccines for Streptococcus pyogenes","volume":"34","author":"Steer","year":"2016","journal-title":"Vaccine"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0550","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1038\/9858","article-title":"Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices","volume":"17","author":"Sturniolo","year":"1999","journal-title":"Nature Biotechnology"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0555","doi-asserted-by":"crossref","first-page":"105","DOI":"10.2174\/1568026619666181130111827","article-title":"Advances in in-silico B-cell epitope prediction","volume":"19","author":"Sun","year":"2019","journal-title":"Current Topics in Medicinal Chemistry"},{"key":"10.1016\/bs.vh.2021.06.004_bb0560","doi-asserted-by":"crossref","first-page":"943636","DOI":"10.1155\/2013\/943636","article-title":"Bioinformatics resources and tools for conformational B-cell epitope prediction","volume":"2013","author":"Sun","year":"2013","journal-title":"Computational and Mathematical Methods in Medicine"},{"issue":"Web server issue","key":"10.1016\/bs.vh.2021.06.004_bb0565","doi-asserted-by":"crossref","first-page":"W199","DOI":"10.1093\/nar\/gks450","article-title":"AVPpred: Collection and prediction of highly effective antiviral peptides","volume":"40","author":"Thakur","year":"2012","journal-title":"Nucleic Acids Research"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0570","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1002\/jcc.21334","article-title":"AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading","volume":"31","author":"Trott","year":"2010","journal-title":"Journal of Computational Chemistry"},{"key":"10.1016\/bs.vh.2021.06.004_bb0575","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/bs.apcsb.2018.01.006","article-title":"In silico tools and databases for designing peptide-based vaccine and drugs","volume":"112","author":"Usmani","year":"2018","journal-title":"Advances in Protein Chemistry and Structural Biology"},{"issue":"3","key":"10.1016\/bs.vh.2021.06.004_bb0580","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s13167-017-0101-y","article-title":"Vaccination and autoimmune diseases: Is prevention of adverse health effects on the horizon?","volume":"8","author":"Vadal\u00e0","year":"2017","journal-title":"The EPMA Journal"},{"issue":"36","key":"10.1016\/bs.vh.2021.06.004_bb0585","doi-asserted-by":"crossref","first-page":"5454","DOI":"10.1016\/j.vaccine.2017.07.054","article-title":"Vaccines against Ebola virus","volume":"36","author":"Venkatraman","year":"2018","journal-title":"Vaccine"},{"issue":"Database issue","key":"10.1016\/bs.vh.2021.06.004_bb0590","doi-asserted-by":"crossref","first-page":"D405","DOI":"10.1093\/nar\/gku938","article-title":"The immune epitope database (IEDB) 3.0","volume":"43","author":"Vita","year":"2015","journal-title":"Nucleic Acids Research"},{"issue":"8","key":"10.1016\/bs.vh.2021.06.004_bb0595","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1111\/j.1469-0691.2008.02029.x","article-title":"Occupational infection due to Brucella abortus S19 among workers involved in vaccine production in Argentina","volume":"14","author":"Wallach","year":"2008","journal-title":"Clinical Microbiology and Infection"},{"issue":"4","key":"10.1016\/bs.vh.2021.06.004_bb0600","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0062249","article-title":"Conformational B-cell epitope prediction on antigen protein structures: A review of current algorithms and comparison with common binding site prediction methods","volume":"8","author":"Yao","year":"2013","journal-title":"PLoS One"},{"issue":"2","key":"10.1016\/bs.vh.2021.06.004_bb0605","first-page":"1","article-title":"Recent advances in B-cell epitope prediction methods","volume":"6","author":"Yasser","year":"2010","journal-title":"Immunome Research"},{"author":"Years of Ebola Virus Disease Outbreaks","key":"10.1016\/bs.vh.2021.06.004_bb0610"},{"author":"Years of Ebola Virus Disease Outbreaks","key":"10.1016\/bs.vh.2021.06.004_bb0615"},{"issue":"6","key":"10.1016\/bs.vh.2021.06.004_bb0620","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1038\/bjc.2013.90","article-title":"Phase I clinical trial of human vascular endothelial growth factor receptor 1 peptide vaccines for patients with metastatic renal cell carcinoma","volume":"108","author":"Yoshimura","year":"2013","journal-title":"British Journal of Cancer"},{"key":"10.1016\/bs.vh.2021.06.004_bb0625","series-title":"Encyclopedia of bioinformatics and computational biology","first-page":"550","article-title":"Molecular dynamics and simulation","author":"Zheng","year":"2019"},{"issue":"41","key":"10.1016\/bs.vh.2021.06.004_bb0630","doi-asserted-by":"crossref","first-page":"67087","DOI":"10.18632\/oncotarget.11512","article-title":"TLR2 ligand-synthetic long peptide conjugates effectively stimulate tumor-draining lymph node T cells of cervical cancer patients","volume":"7","author":"Zom","year":"2016","journal-title":"Oncotarget"}],"container-title":["Vitamins and Hormones","Hormones, Regulators and Viruses"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0083672921000480?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0083672921000480?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T08:01:30Z","timestamp":1753689690000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0083672921000480"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9780323907316"],"references-count":125,"URL":"https:\/\/doi.org\/10.1016\/bs.vh.2021.06.004","relation":{},"ISSN":["0083-6729"],"issn-type":[{"type":"print","value":"0083-6729"}],"subject":[],"published":{"date-parts":[[2021]]}}}