{"id":"https://openalex.org/W3092381885","doi":"https://doi.org/10.1093/bib/bbaa259","title":"Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19","display_name":"Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3092381885","doi":"https://doi.org/10.1093/bib/bbaa259","mag":"3092381885","pmid":"https://pubmed.ncbi.nlm.nih.gov/33034338"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbaa259","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaa259","pdf_url":"https://academic.oup.com/bib/article-pdf/22/2/936/36655265/bbaa259.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/22/2/936/36655265/bbaa259.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054096262","display_name":"Anjali Dhall","orcid":"https://orcid.org/0000-0002-0400-2084"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Dhall","raw_affiliation_strings":["Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048158238","display_name":"Sumeet Patiyal","orcid":"https://orcid.org/0000-0003-1358-292X"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumeet Patiyal","raw_affiliation_strings":["Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954612","display_name":"Neelam Sharma","orcid":"https://orcid.org/0000-0002-1765-3644"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neelam Sharma","raw_affiliation_strings":["Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065580975","display_name":"Salman Sadullah Usmani","orcid":"https://orcid.org/0000-0001-6624-4428"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Salman Sadullah Usmani","raw_affiliation_strings":["Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051938893","display_name":"Gajendra P. S. Raghava","orcid":"https://orcid.org/0000-0002-8902-2876"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gajendra P S Raghava","raw_affiliation_strings":["Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-8902-2876","affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051938893"],"corresponding_institution_ids":["https://openalex.org/I119939252"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":7.0873,"has_fulltext":true,"cited_by_count":138,"citation_normalized_percentile":{"value":0.98045303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"22","issue":"2","first_page":"936","last_page":"945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11668","display_name":"interferon and immune responses","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5960880517959595},{"id":"https://openalex.org/keywords/immune-system","display_name":"Immune system","score":0.5783809423446655},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5582759380340576},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5525670647621155},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5306403040885925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47364914417266846},{"id":"https://openalex.org/keywords/cytokine","display_name":"Cytokine","score":0.4597066044807434},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.45942428708076477},{"id":"https://openalex.org/keywords/epitope","display_name":"Epitope","score":0.45937952399253845},{"id":"https://openalex.org/keywords/peptide","display_name":"Peptide","score":0.41053980588912964},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3417028486728668},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.33023935556411743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3155919909477234},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.30222615599632263},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27172213792800903},{"id":"https://openalex.org/keywords/antibody","display_name":"Antibody","score":0.14019235968589783},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.07573342323303223}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5960880517959595},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.5783809423446655},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5582759380340576},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5525670647621155},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.5306403040885925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47364914417266846},{"id":"https://openalex.org/C2778690821","wikidata":"https://www.wikidata.org/wiki/Q212354","display_name":"Cytokine","level":2,"score":0.4597066044807434},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.45942428708076477},{"id":"https://openalex.org/C195616568","wikidata":"https://www.wikidata.org/wiki/Q128711","display_name":"Epitope","level":3,"score":0.45937952399253845},{"id":"https://openalex.org/C2779281246","wikidata":"https://www.wikidata.org/wiki/Q172847","display_name":"Peptide","level":2,"score":0.41053980588912964},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3417028486728668},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.33023935556411743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3155919909477234},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.30222615599632263},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27172213792800903},{"id":"https://openalex.org/C159654299","wikidata":"https://www.wikidata.org/wiki/Q79460","display_name":"Antibody","level":2,"score":0.14019235968589783},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.07573342323303223},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000096","qualifier_name":"biosynthesis","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000096","qualifier_name":"biosynthesis","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000096","qualifier_name":"biosynthesis","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015850","descriptor_name":"Interleukin-6","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbaa259","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaa259","pdf_url":"https://academic.oup.com/bib/article-pdf/22/2/936/36655265/bbaa259.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33034338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33034338","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7665369","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7665369","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbaa259","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaa259","pdf_url":"https://academic.oup.com/bib/article-pdf/22/2/936/36655265/bbaa259.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320717","display_name":"Department of Biotechnology, Ministry of Science and Technology, India","ror":"https://ror.org/03tjsyq23"},{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092381885.pdf","grobid_xml":"https://content.openalex.org/works/W3092381885.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W54628830","https://openalex.org/W100143147","https://openalex.org/W650013066","https://openalex.org/W1500435738","https://openalex.org/W1652153701","https://openalex.org/W1826891145","https://openalex.org/W1965602061","https://openalex.org/W1984146066","https://openalex.org/W1985058669","https://openalex.org/W1996020742","https://openalex.org/W2016153546","https://openalex.org/W2026527144","https://openalex.org/W2028195000","https://openalex.org/W2030623877","https://openalex.org/W2044223397","https://openalex.org/W2056132907","https://openalex.org/W2057954706","https://openalex.org/W2072450186","https://openalex.org/W2075530183","https://openalex.org/W2101234009","https://openalex.org/W2111034338","https://openalex.org/W2118585731","https://openalex.org/W2120467372","https://openalex.org/W2127635589","https://openalex.org/W2129552332","https://openalex.org/W2141818629","https://openalex.org/W2143727405","https://openalex.org/W2148658155","https://openalex.org/W2155276613","https://openalex.org/W2159068439","https://openalex.org/W2168639488","https://openalex.org/W2171831844","https://openalex.org/W2295598076","https://openalex.org/W2304327826","https://openalex.org/W2315187051","https://openalex.org/W2440607563","https://openalex.org/W2492513888","https://openalex.org/W2568893370","https://openalex.org/W2588895177","https://openalex.org/W2608591750","https://openalex.org/W2625304812","https://openalex.org/W2766220551","https://openalex.org/W2768348081","https://openalex.org/W2776648280","https://openalex.org/W2791393509","https://openalex.org/W2792378492","https://openalex.org/W2794081434","https://openalex.org/W2887293266","https://openalex.org/W2895498534","https://openalex.org/W2898389621","https://openalex.org/W2911681169","https://openalex.org/W2933605448","https://openalex.org/W2944331050","https://openalex.org/W2981827938","https://openalex.org/W2987146430","https://openalex.org/W3004743633","https://openalex.org/W3006961006","https://openalex.org/W3007829007","https://openalex.org/W3012421327","https://openalex.org/W3013274818","https://openalex.org/W3014130682","https://openalex.org/W3016538467","https://openalex.org/W3017730472","https://openalex.org/W3018517500","https://openalex.org/W3102476541","https://openalex.org/W6602234540","https://openalex.org/W6604085878","https://openalex.org/W6638392916","https://openalex.org/W6675354045","https://openalex.org/W6677656871","https://openalex.org/W6683361889","https://openalex.org/W6745609711","https://openalex.org/W6758972637","https://openalex.org/W6761383852","https://openalex.org/W6770273530","https://openalex.org/W6774242635"],"related_works":["https://openalex.org/W2021824670","https://openalex.org/W2009867644","https://openalex.org/W2363997565","https://openalex.org/W1981120125","https://openalex.org/W3036615648","https://openalex.org/W2408448169","https://openalex.org/W2182598264","https://openalex.org/W2075879923","https://openalex.org/W1978626146","https://openalex.org/W2060253881"],"abstract_inverted_index":{"Interleukin":[0],"6":[1],"(IL-6)":[2],"is":[3,34],"a":[4,25,55,141,183],"pro-inflammatory":[5],"cytokine":[6],"that":[7,21],"stimulates":[8],"acute":[9],"phase":[10],"responses,":[11],"hematopoiesis":[12],"and":[13,66,74,113,146,150,182,192],"specific":[14],"immune":[15,81],"reactions.":[16],"Recently,":[17],"it":[18],"was":[19],"found":[20],"the":[22,29,37,45,80,101,114],"IL-6":[23,59,72,159,195],"plays":[24],"vital":[26],"role":[27],"in":[28,162],"progression":[30],"of":[31,87,127,144,165,194],"COVID-19,":[32,51],"which":[33,94],"responsible":[35],"for":[36,57,120,189],"high":[38],"mortality":[39],"rate.":[40],"In":[41],"order":[42],"to":[43,48,97,134,171],"facilitate":[44],"scientific":[46],"community":[47],"fight":[49],"against":[50,174],"we":[52],"have":[53,156],"developed":[54,188],"method":[56],"predicting":[58],"inducing":[60,73,160,196],"peptides/epitopes.":[61],"The":[62],"models":[63,170],"were":[64,90,95,106,118],"trained":[65],"tested":[67],"on":[68,109,148],"experimentally":[69],"validated":[70],"365":[71],"2991":[75],"non-inducing":[76],"peptides":[77,161,197],"extracted":[78],"from":[79],"epitope":[82],"database.":[83],"Initially,":[84],"9149":[85],"features":[86,99,105,117],"each":[88],"peptide":[89],"computed":[91],"using":[92,100,167],"Pfeature,":[93],"reduced":[96],"186":[98],"SVC-L1":[102],"technique.":[103],"These":[104],"ranked":[107],"based":[108],"their":[110],"classification":[111],"ability,":[112],"top":[115],"10":[116],"used":[119],"developing":[121],"prediction":[122],"models.":[123,136],"A":[124,176],"wide":[125],"range":[126],"machine":[128],"learning":[129],"techniques":[130],"has":[131,186],"been":[132,187],"deployed":[133],"develop":[135],"Random":[137],"Forest-based":[138],"model":[139],"achieves":[140],"maximum":[142],"AUROC":[143],"0.84":[145],"0.83":[147],"training":[149],"independent":[151],"validation":[152],"dataset,":[153],"respectively.":[154],"We":[155],"also":[157],"identified":[158],"different":[163],"proteins":[164],"SARS-CoV-2,":[166],"our":[168],"best":[169],"design":[172],"vaccine":[173],"COVID-19.":[175],"web":[177],"server":[178],"named":[179],"as":[180],"IL-6Pred":[181],"standalone":[184],"package":[185],"predicting,":[190],"designing":[191],"screening":[193],"(https://webs.iiitd.edu.in/raghava/il6pred/).":[198]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}