In silico vaccine design against Chlamydia trachomatis infection
Chlamydia trachomatis, a gram-negative bacterium known to infect the genital sites mainly columnar epithelial cells of the cervix, urethra and rectum in women and causes acute epididymitis, urinary tract inflammation and DNA damage to the sperms in men, hence considered to be one of the major sexual...
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description | Chlamydia trachomatis,
a gram-negative bacterium known to infect the genital sites mainly columnar epithelial cells of the cervix, urethra and rectum in women and causes acute epididymitis, urinary tract inflammation and DNA damage to the sperms in men, hence considered to be one of the major sexually transmitted infections. The infection is asymptomatic in many people and remains untreated leading to serious health complications, including pelvic inflammatory disease, ectopic pregnancy and infertility. The current treatment options include antibiotics, but the pathogen has gained resistance against many antibiotics. The present work involves an in silico reverse vaccinology approach for identifying the immunogens as vaccine candidates that can be effective against reinfections and should be capable of inducing long-term protective immunity against
Chlamydial
infections. This study identifies the putative vaccine candidates that are membrane bound with high antigenicity properties; antigenicity induces the immunogenicity which involves identification of T-cell and B-cell epitopes that induce both humoral and cell-mediated immunity. The epitopes ‘LSWEMELAY’, ‘LSNTEGYRY’, ‘TSDLGQMEY’, ‘FIDLLQAIY’ and ‘FSNNFSDIY’ were predicted as core sequences for class I MHC molecules. The identified epitopes showed promising ability to interact with the human leukocyte antigens (HLA). These epitopes showed maximum population coverage with epitope conservancy above 80%. Molecular docking was performed to test the binding affinities of the identified epitopes with the HLA molecule to study the binding cleft interactions. The vaccine candidate thus identified from this study showed to possess the potential to activate the B- and T-cell immune responses which are more specific and make the body stronger against infections and effective for reinfections. |
doi_str_mv | 10.1007/s13721-020-00243-w |
format | Article |
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a gram-negative bacterium known to infect the genital sites mainly columnar epithelial cells of the cervix, urethra and rectum in women and causes acute epididymitis, urinary tract inflammation and DNA damage to the sperms in men, hence considered to be one of the major sexually transmitted infections. The infection is asymptomatic in many people and remains untreated leading to serious health complications, including pelvic inflammatory disease, ectopic pregnancy and infertility. The current treatment options include antibiotics, but the pathogen has gained resistance against many antibiotics. The present work involves an in silico reverse vaccinology approach for identifying the immunogens as vaccine candidates that can be effective against reinfections and should be capable of inducing long-term protective immunity against
Chlamydial
infections. This study identifies the putative vaccine candidates that are membrane bound with high antigenicity properties; antigenicity induces the immunogenicity which involves identification of T-cell and B-cell epitopes that induce both humoral and cell-mediated immunity. The epitopes ‘LSWEMELAY’, ‘LSNTEGYRY’, ‘TSDLGQMEY’, ‘FIDLLQAIY’ and ‘FSNNFSDIY’ were predicted as core sequences for class I MHC molecules. The identified epitopes showed promising ability to interact with the human leukocyte antigens (HLA). These epitopes showed maximum population coverage with epitope conservancy above 80%. Molecular docking was performed to test the binding affinities of the identified epitopes with the HLA molecule to study the binding cleft interactions. The vaccine candidate thus identified from this study showed to possess the potential to activate the B- and T-cell immune responses which are more specific and make the body stronger against infections and effective for reinfections.</description><identifier>ISSN: 2192-6662</identifier><identifier>EISSN: 2192-6670</identifier><identifier>DOI: 10.1007/s13721-020-00243-w</identifier><identifier>PMID: 32537381</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Allergens ; Antibiotics ; Antigenicity ; Antigens ; Applications of Graph Theory and Complex Networks ; Binding ; Bioinformatics ; Cell-mediated immunity ; Chlamydia ; Chlamydia trachomatis ; Computational Biology/Bioinformatics ; Computer Science ; Cytokines ; Cytotoxicity ; DNA damage ; Ectopic pregnancy ; Epididymitis ; Epithelial cells ; Epithelium ; Epitopes ; Gram-negative bacteria ; Health Informatics ; Histocompatibility antigen HLA ; Humoral immunity ; Immune response ; Immune response (cell-mediated) ; Immunity ; Immunogenicity ; Infections ; Infertility ; Inflammatory diseases ; Localization ; Lymphocytes ; Lymphocytes B ; Lymphocytes T ; Major histocompatibility complex ; Molecular docking ; Original ; Original Article ; Pathogens ; Pelvic inflammatory disease ; Peptides ; Pregnancy complications ; Proteins ; Sexually transmitted diseases ; STD ; Urethra ; Urinary tract ; Vaccines</subject><ispartof>Network modeling and analysis in health informatics and bioinformatics (Wien), 2020-12, Vol.9 (1), p.39, Article 39</ispartof><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366w-5e25a8016a6a54fe394e11982151f1c4a2aec6b992ddccee7def294086050cc73</citedby><cites>FETCH-LOGICAL-c366w-5e25a8016a6a54fe394e11982151f1c4a2aec6b992ddccee7def294086050cc73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13721-020-00243-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2920658900?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Shiragannavar, Shilpa</creatorcontrib><creatorcontrib>Madagi, Shivakumar</creatorcontrib><creatorcontrib>Hosakeri, Joy</creatorcontrib><creatorcontrib>Barot, Vandana</creatorcontrib><title>In silico vaccine design against Chlamydia trachomatis infection</title><title>Network modeling and analysis in health informatics and bioinformatics (Wien)</title><addtitle>Netw Model Anal Health Inform Bioinforma</addtitle><description>Chlamydia trachomatis,
a gram-negative bacterium known to infect the genital sites mainly columnar epithelial cells of the cervix, urethra and rectum in women and causes acute epididymitis, urinary tract inflammation and DNA damage to the sperms in men, hence considered to be one of the major sexually transmitted infections. The infection is asymptomatic in many people and remains untreated leading to serious health complications, including pelvic inflammatory disease, ectopic pregnancy and infertility. The current treatment options include antibiotics, but the pathogen has gained resistance against many antibiotics. The present work involves an in silico reverse vaccinology approach for identifying the immunogens as vaccine candidates that can be effective against reinfections and should be capable of inducing long-term protective immunity against
Chlamydial
infections. This study identifies the putative vaccine candidates that are membrane bound with high antigenicity properties; antigenicity induces the immunogenicity which involves identification of T-cell and B-cell epitopes that induce both humoral and cell-mediated immunity. The epitopes ‘LSWEMELAY’, ‘LSNTEGYRY’, ‘TSDLGQMEY’, ‘FIDLLQAIY’ and ‘FSNNFSDIY’ were predicted as core sequences for class I MHC molecules. The identified epitopes showed promising ability to interact with the human leukocyte antigens (HLA). These epitopes showed maximum population coverage with epitope conservancy above 80%. Molecular docking was performed to test the binding affinities of the identified epitopes with the HLA molecule to study the binding cleft interactions. The vaccine candidate thus identified from this study showed to possess the potential to activate the B- and T-cell immune responses which are more specific and make the body stronger against infections and effective for reinfections.</description><subject>Allergens</subject><subject>Antibiotics</subject><subject>Antigenicity</subject><subject>Antigens</subject><subject>Applications of Graph Theory and Complex Networks</subject><subject>Binding</subject><subject>Bioinformatics</subject><subject>Cell-mediated immunity</subject><subject>Chlamydia</subject><subject>Chlamydia trachomatis</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computer Science</subject><subject>Cytokines</subject><subject>Cytotoxicity</subject><subject>DNA damage</subject><subject>Ectopic pregnancy</subject><subject>Epididymitis</subject><subject>Epithelial cells</subject><subject>Epithelium</subject><subject>Epitopes</subject><subject>Gram-negative bacteria</subject><subject>Health Informatics</subject><subject>Histocompatibility antigen HLA</subject><subject>Humoral immunity</subject><subject>Immune response</subject><subject>Immune response (cell-mediated)</subject><subject>Immunity</subject><subject>Immunogenicity</subject><subject>Infections</subject><subject>Infertility</subject><subject>Inflammatory diseases</subject><subject>Localization</subject><subject>Lymphocytes</subject><subject>Lymphocytes B</subject><subject>Lymphocytes T</subject><subject>Major histocompatibility complex</subject><subject>Molecular docking</subject><subject>Original</subject><subject>Original Article</subject><subject>Pathogens</subject><subject>Pelvic inflammatory disease</subject><subject>Peptides</subject><subject>Pregnancy complications</subject><subject>Proteins</subject><subject>Sexually transmitted diseases</subject><subject>STD</subject><subject>Urethra</subject><subject>Urinary tract</subject><subject>Vaccines</subject><issn>2192-6662</issn><issn>2192-6670</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UE1Lw0AQXUSxpfYPeAp4js7OZjfJRZTiR6HgRc_LdrNJtySbmk1b-u9dTal4cRiYgXnvzeMRck3hlgKkd56yFGkMCDEAJizen5Ex0hxjIVI4P-0CR2Tq_RpCZaEpvyQjhpylLKNj8jB3kbe11W20U1pbZ6LCeFu5SFXKOt9Hs1WtmkNhVdR3Sq_aRvXWR9aVRve2dVfkolS1N9PjnJCP56f32Wu8eHuZzx4XsWZC7GNukKsMqFBC8aQ0LE8MpXmGlNOS6kShMlos8xyLQmtj0sKUmCeQCeCgdcom5H7Q3WyXjSm0ccFOLTedbVR3kK2y8u_F2ZWs2p1MMWMJsiBwcxTo2s-t8b1ct9vOBc8ScwTBsxwgoHBA6a71vjPl6QMF-R28HIKXIXj5E7zcBxIbSD6AXWW6X-l_WF8BG4V9</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Shiragannavar, Shilpa</creator><creator>Madagi, Shivakumar</creator><creator>Hosakeri, Joy</creator><creator>Barot, Vandana</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>5PM</scope></search><sort><creationdate>20201201</creationdate><title>In silico vaccine design against Chlamydia trachomatis infection</title><author>Shiragannavar, Shilpa ; Madagi, Shivakumar ; Hosakeri, Joy ; Barot, Vandana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366w-5e25a8016a6a54fe394e11982151f1c4a2aec6b992ddccee7def294086050cc73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Allergens</topic><topic>Antibiotics</topic><topic>Antigenicity</topic><topic>Antigens</topic><topic>Applications of Graph Theory and Complex Networks</topic><topic>Binding</topic><topic>Bioinformatics</topic><topic>Cell-mediated immunity</topic><topic>Chlamydia</topic><topic>Chlamydia trachomatis</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computer Science</topic><topic>Cytokines</topic><topic>Cytotoxicity</topic><topic>DNA damage</topic><topic>Ectopic pregnancy</topic><topic>Epididymitis</topic><topic>Epithelial cells</topic><topic>Epithelium</topic><topic>Epitopes</topic><topic>Gram-negative bacteria</topic><topic>Health Informatics</topic><topic>Histocompatibility antigen HLA</topic><topic>Humoral immunity</topic><topic>Immune response</topic><topic>Immune response (cell-mediated)</topic><topic>Immunity</topic><topic>Immunogenicity</topic><topic>Infections</topic><topic>Infertility</topic><topic>Inflammatory diseases</topic><topic>Localization</topic><topic>Lymphocytes</topic><topic>Lymphocytes B</topic><topic>Lymphocytes T</topic><topic>Major histocompatibility complex</topic><topic>Molecular docking</topic><topic>Original</topic><topic>Original Article</topic><topic>Pathogens</topic><topic>Pelvic inflammatory disease</topic><topic>Peptides</topic><topic>Pregnancy complications</topic><topic>Proteins</topic><topic>Sexually transmitted diseases</topic><topic>STD</topic><topic>Urethra</topic><topic>Urinary tract</topic><topic>Vaccines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shiragannavar, Shilpa</creatorcontrib><creatorcontrib>Madagi, Shivakumar</creatorcontrib><creatorcontrib>Hosakeri, Joy</creatorcontrib><creatorcontrib>Barot, Vandana</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Network modeling and analysis in health informatics and bioinformatics (Wien)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shiragannavar, Shilpa</au><au>Madagi, Shivakumar</au><au>Hosakeri, Joy</au><au>Barot, Vandana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico vaccine design against Chlamydia trachomatis infection</atitle><jtitle>Network modeling and analysis in health informatics and bioinformatics (Wien)</jtitle><stitle>Netw Model Anal Health Inform Bioinforma</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>9</volume><issue>1</issue><spage>39</spage><pages>39-</pages><artnum>39</artnum><issn>2192-6662</issn><eissn>2192-6670</eissn><abstract>Chlamydia trachomatis,
a gram-negative bacterium known to infect the genital sites mainly columnar epithelial cells of the cervix, urethra and rectum in women and causes acute epididymitis, urinary tract inflammation and DNA damage to the sperms in men, hence considered to be one of the major sexually transmitted infections. The infection is asymptomatic in many people and remains untreated leading to serious health complications, including pelvic inflammatory disease, ectopic pregnancy and infertility. The current treatment options include antibiotics, but the pathogen has gained resistance against many antibiotics. The present work involves an in silico reverse vaccinology approach for identifying the immunogens as vaccine candidates that can be effective against reinfections and should be capable of inducing long-term protective immunity against
Chlamydial
infections. This study identifies the putative vaccine candidates that are membrane bound with high antigenicity properties; antigenicity induces the immunogenicity which involves identification of T-cell and B-cell epitopes that induce both humoral and cell-mediated immunity. The epitopes ‘LSWEMELAY’, ‘LSNTEGYRY’, ‘TSDLGQMEY’, ‘FIDLLQAIY’ and ‘FSNNFSDIY’ were predicted as core sequences for class I MHC molecules. The identified epitopes showed promising ability to interact with the human leukocyte antigens (HLA). These epitopes showed maximum population coverage with epitope conservancy above 80%. Molecular docking was performed to test the binding affinities of the identified epitopes with the HLA molecule to study the binding cleft interactions. The vaccine candidate thus identified from this study showed to possess the potential to activate the B- and T-cell immune responses which are more specific and make the body stronger against infections and effective for reinfections.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><pmid>32537381</pmid><doi>10.1007/s13721-020-00243-w</doi><oa>free_for_read</oa></addata></record> |
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subjects | Allergens Antibiotics Antigenicity Antigens Applications of Graph Theory and Complex Networks Binding Bioinformatics Cell-mediated immunity Chlamydia Chlamydia trachomatis Computational Biology/Bioinformatics Computer Science Cytokines Cytotoxicity DNA damage Ectopic pregnancy Epididymitis Epithelial cells Epithelium Epitopes Gram-negative bacteria Health Informatics Histocompatibility antigen HLA Humoral immunity Immune response Immune response (cell-mediated) Immunity Immunogenicity Infections Infertility Inflammatory diseases Localization Lymphocytes Lymphocytes B Lymphocytes T Major histocompatibility complex Molecular docking Original Original Article Pathogens Pelvic inflammatory disease Peptides Pregnancy complications Proteins Sexually transmitted diseases STD Urethra Urinary tract Vaccines |
title | In silico vaccine design against Chlamydia trachomatis infection |
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