Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB
Given the fact that NF-κB stays as a dormant molecule in the cytoplasm in steady state, one common step in all the metabolic activities comprising NF-κB is its activation. Consequently there are two pathways of interest related to NF-κB activation: Canonical and alternate. Both the pathways involve...
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description | Given the fact that NF-κB stays as a dormant molecule in the cytoplasm in steady state, one common step in all the metabolic activities comprising NF-κB is its activation. Consequently there are two pathways of interest related to NF-κB activation: Canonical and alternate. Both the pathways involve ubiquitination of its repressors, that is to say ubiquitination of I-κB by NEMO/IKK-α/IKK-β complex in case of NF-κB1 and that of p100 by IKK-α homodimer in case of NF-κB2. This paper attempts to figure out the ubiquitination sites in alternate pathway of NF-κB activation using a purely computational approach. We initiated the work by acquiring the genes involved in NF kappa B alternate pathway through Agilent literature search. For this we employed the Cytoscape and STRING database. Secondly, the MSA was built using the sequences obtained through BLAST search, and the results were used to update the original sequence list, which was further refined using HMMER. Structural alignment was achieved via Modeller libraries. The final model has been refined using loop_model and asses_dope functions of Modeller. Ubiquitination site is predicted to be comprised of residues ‘SPECLDLLVDS’ between sites 178 and 188, both positions inclusive. Unlike the classical pathway, due to absence of parallel studies for p100/RelB, a quality match could not be performed, but future studies are in pipeline to replicate the methodology for NF-κB1 activation and compare the results with existing observations. The study can be used to understand the cofactors involved and ubiquitination sites employed during the activation process during drug designing activities. The methodology can be easily scaled and adapted for classical pathway as well.
[Display omitted]
•Predicted the important cofactors in the alternate pathway of NF-κB activation.•Reconstructed the protein network model of cross-talking pathways during NF-κB activation.•Identification of prospective candidate molecules that interact with NF-κB during its activation.•Homology modeling of C-terminal chain of p100/p52 dimer to find ubiquitination sites. |
doi_str_mv | 10.1016/j.gene.2016.01.025 |
format | Article |
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[Display omitted]
•Predicted the important cofactors in the alternate pathway of NF-κB activation.•Reconstructed the protein network model of cross-talking pathways during NF-κB activation.•Identification of prospective candidate molecules that interact with NF-κB during its activation.•Homology modeling of C-terminal chain of p100/p52 dimer to find ubiquitination sites.</description><identifier>ISSN: 0378-1119</identifier><identifier>EISSN: 1879-0038</identifier><identifier>DOI: 10.1016/j.gene.2016.01.025</identifier><identifier>PMID: 26784652</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Alternate pathway ; Amino Acid Sequence ; Homology modelling ; I-κB ; IKK-α ; MAP3K ; Models, Molecular ; Molecular Sequence Data ; NF-kappa B - chemistry ; NF-kappa B - metabolism ; NF-κB ; NIK ; SCFβTrCP/HOS E3 ubiquitin ligase complex ; Sequence Homology, Amino Acid ; Signalling cross talk ; Ubiquitin proteasome signalling system ; Ubiquitination</subject><ispartof>Gene, 2016-04, Vol.581 (1), p.48-56</ispartof><rights>2016 Elsevier B.V.</rights><rights>Copyright © 2016 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-a5c1033065aef5050e2c1a63e45a135dcb55c41ffb42e615e0f88e628193c9a63</citedby><cites>FETCH-LOGICAL-c459t-a5c1033065aef5050e2c1a63e45a135dcb55c41ffb42e615e0f88e628193c9a63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gene.2016.01.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26784652$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghosh, Sayantan</creatorcontrib><creatorcontrib>Febin Prabhu Dass, J.</creatorcontrib><title>Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB</title><title>Gene</title><addtitle>Gene</addtitle><description>Given the fact that NF-κB stays as a dormant molecule in the cytoplasm in steady state, one common step in all the metabolic activities comprising NF-κB is its activation. Consequently there are two pathways of interest related to NF-κB activation: Canonical and alternate. Both the pathways involve ubiquitination of its repressors, that is to say ubiquitination of I-κB by NEMO/IKK-α/IKK-β complex in case of NF-κB1 and that of p100 by IKK-α homodimer in case of NF-κB2. This paper attempts to figure out the ubiquitination sites in alternate pathway of NF-κB activation using a purely computational approach. We initiated the work by acquiring the genes involved in NF kappa B alternate pathway through Agilent literature search. For this we employed the Cytoscape and STRING database. Secondly, the MSA was built using the sequences obtained through BLAST search, and the results were used to update the original sequence list, which was further refined using HMMER. Structural alignment was achieved via Modeller libraries. The final model has been refined using loop_model and asses_dope functions of Modeller. Ubiquitination site is predicted to be comprised of residues ‘SPECLDLLVDS’ between sites 178 and 188, both positions inclusive. Unlike the classical pathway, due to absence of parallel studies for p100/RelB, a quality match could not be performed, but future studies are in pipeline to replicate the methodology for NF-κB1 activation and compare the results with existing observations. The study can be used to understand the cofactors involved and ubiquitination sites employed during the activation process during drug designing activities. The methodology can be easily scaled and adapted for classical pathway as well.
[Display omitted]
•Predicted the important cofactors in the alternate pathway of NF-κB activation.•Reconstructed the protein network model of cross-talking pathways during NF-κB activation.•Identification of prospective candidate molecules that interact with NF-κB during its activation.•Homology modeling of C-terminal chain of p100/p52 dimer to find ubiquitination sites.</description><subject>Alternate pathway</subject><subject>Amino Acid Sequence</subject><subject>Homology modelling</subject><subject>I-κB</subject><subject>IKK-α</subject><subject>MAP3K</subject><subject>Models, Molecular</subject><subject>Molecular Sequence Data</subject><subject>NF-kappa B - chemistry</subject><subject>NF-kappa B - metabolism</subject><subject>NF-κB</subject><subject>NIK</subject><subject>SCFβTrCP/HOS E3 ubiquitin ligase complex</subject><subject>Sequence Homology, Amino Acid</subject><subject>Signalling cross talk</subject><subject>Ubiquitin proteasome signalling system</subject><subject>Ubiquitination</subject><issn>0378-1119</issn><issn>1879-0038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc1O3DAURq0KVKa0L9BF5SWbpL5OnB-pmzICWgnBhq4tj3Mz42liD7YDmlfjIXgmPB2KWCG8sS2d79PVPYR8BZYDg-r7Ol-ixZynd84gZ1x8IDNo6jZjrGgOyIwVdZMBQHtEPoWwZukIwT-SI17VTVkJPiPuytlMK-us0WqgGxVX92pLLcZ75__S0XU4DMYuqbIdnRbmdjLRWBWNszSYiHTjsTP63z-uvJuWK7pyoxvccvsq7Xp6dZ49Ppx-Joe9GgJ-eb6PyZ_zs5v5r-zy-uL3_OdlpkvRxkwJDawoWCUU9oIJhlyDqgoshYJCdHohhC6h7xclxwoEsr5psOINtIVuE3hMTva9G-9uJwxRjiboNI2y6KYgoa4aUXPR1u9Ba1a3ZVsmlO9R7V0IHnu58WZUfiuByZ0TuZY7J3LnRDKQyUkKfXvunxYjdi-R_xIS8GMPYFrInUEvgzZodVqsRx1l58xb_U-KrZ8j</recordid><startdate>20160425</startdate><enddate>20160425</enddate><creator>Ghosh, Sayantan</creator><creator>Febin Prabhu Dass, J.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20160425</creationdate><title>Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB</title><author>Ghosh, Sayantan ; Febin Prabhu Dass, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-a5c1033065aef5050e2c1a63e45a135dcb55c41ffb42e615e0f88e628193c9a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Alternate pathway</topic><topic>Amino Acid Sequence</topic><topic>Homology modelling</topic><topic>I-κB</topic><topic>IKK-α</topic><topic>MAP3K</topic><topic>Models, Molecular</topic><topic>Molecular Sequence Data</topic><topic>NF-kappa B - chemistry</topic><topic>NF-kappa B - metabolism</topic><topic>NF-κB</topic><topic>NIK</topic><topic>SCFβTrCP/HOS E3 ubiquitin ligase complex</topic><topic>Sequence Homology, Amino Acid</topic><topic>Signalling cross talk</topic><topic>Ubiquitin proteasome signalling system</topic><topic>Ubiquitination</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Sayantan</creatorcontrib><creatorcontrib>Febin Prabhu Dass, J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Gene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Sayantan</au><au>Febin Prabhu Dass, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB</atitle><jtitle>Gene</jtitle><addtitle>Gene</addtitle><date>2016-04-25</date><risdate>2016</risdate><volume>581</volume><issue>1</issue><spage>48</spage><epage>56</epage><pages>48-56</pages><issn>0378-1119</issn><eissn>1879-0038</eissn><abstract>Given the fact that NF-κB stays as a dormant molecule in the cytoplasm in steady state, one common step in all the metabolic activities comprising NF-κB is its activation. Consequently there are two pathways of interest related to NF-κB activation: Canonical and alternate. Both the pathways involve ubiquitination of its repressors, that is to say ubiquitination of I-κB by NEMO/IKK-α/IKK-β complex in case of NF-κB1 and that of p100 by IKK-α homodimer in case of NF-κB2. This paper attempts to figure out the ubiquitination sites in alternate pathway of NF-κB activation using a purely computational approach. We initiated the work by acquiring the genes involved in NF kappa B alternate pathway through Agilent literature search. For this we employed the Cytoscape and STRING database. Secondly, the MSA was built using the sequences obtained through BLAST search, and the results were used to update the original sequence list, which was further refined using HMMER. Structural alignment was achieved via Modeller libraries. The final model has been refined using loop_model and asses_dope functions of Modeller. Ubiquitination site is predicted to be comprised of residues ‘SPECLDLLVDS’ between sites 178 and 188, both positions inclusive. Unlike the classical pathway, due to absence of parallel studies for p100/RelB, a quality match could not be performed, but future studies are in pipeline to replicate the methodology for NF-κB1 activation and compare the results with existing observations. The study can be used to understand the cofactors involved and ubiquitination sites employed during the activation process during drug designing activities. The methodology can be easily scaled and adapted for classical pathway as well.
[Display omitted]
•Predicted the important cofactors in the alternate pathway of NF-κB activation.•Reconstructed the protein network model of cross-talking pathways during NF-κB activation.•Identification of prospective candidate molecules that interact with NF-κB during its activation.•Homology modeling of C-terminal chain of p100/p52 dimer to find ubiquitination sites.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>26784652</pmid><doi>10.1016/j.gene.2016.01.025</doi><tpages>9</tpages></addata></record> |
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subjects | Alternate pathway Amino Acid Sequence Homology modelling I-κB IKK-α MAP3K Models, Molecular Molecular Sequence Data NF-kappa B - chemistry NF-kappa B - metabolism NF-κB NIK SCFβTrCP/HOS E3 ubiquitin ligase complex Sequence Homology, Amino Acid Signalling cross talk Ubiquitin proteasome signalling system Ubiquitination |
title | Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB |
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