Application of density similarities to predict membrane protein types based on pseudo-amino acid composition
Cell membranes provide integrity of living cells. Although the stability of biological membrane is maintained by the lipid bilayer, membrane proteins perform most of the specific functions such as signal transduction, transmembrane transport, etc. Then it is plausible membrane proteins being attract...
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Veröffentlicht in: | Journal of theoretical biology 2011-05, Vol.276 (1), p.132-137 |
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description | Cell membranes provide integrity of living cells. Although the stability of biological membrane is maintained by the lipid bilayer, membrane proteins perform most of the specific functions such as signal transduction, transmembrane transport, etc. Then it is plausible membrane proteins being attractive drug targets. In this article, based on the concept of using the pseudo-amino acid composition to define a protein, three different density similarities are developed for predicting the membrane protein type. The predicted results showed that the proposed approach can remarkably improve the accuracy, and might become a useful tool for predicting the other attributes of proteins as well. |
doi_str_mv | 10.1016/j.jtbi.2011.01.048 |
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The predicted results showed that the proposed approach can remarkably improve the accuracy, and might become a useful tool for predicting the other attributes of proteins as well.</description><subject>Algorithmic predictor model</subject><subject>Amino Acids - analysis</subject><subject>cell membranes</subject><subject>Computational Biology - methods</subject><subject>Databases, Protein</subject><subject>drugs</subject><subject>membrane proteins</subject><subject>Membrane Proteins - chemistry</subject><subject>Non-algorithmic predictor model</subject><subject>prediction</subject><subject>Protein structure</subject><subject>signal transduction</subject><issn>0022-5193</issn><issn>1095-8541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kVFrFDEUhYModq3-AR80bz7NmmQmkwREKEWrUPBB-xwymZt6l5nJmGQL---bZWuxL8KFQO653z3JIeQtZ1vOeP9xt92VAbeCcb5ltTr9jGw4M7LRsuPPyYYxIRrJTXtGXuW8Y4yZru1fkjPBhemZ1hsyXazrhN4VjAuNgY6wZCwHmnHGySUsCJmWSNcEI_pCZ5iH5BaoF7EALrQc1qoYXIaRVsSaYT_Gxs24ROo8jtTHeY2VWRe8Ji-CmzK8eTjPyc3XL78uvzXXP66-X15cN75TujRBQgujkn0PIrggvDKmNYMSgwdhlOBKatVzFTo9uCEIFtho-qDqmPeq69pz8vnEXffDDKOHpSQ32TXh7NLBRof2aWfB3_Y23tlOtr2RfQV8eACk-GcPudgZs4dpqi-P-2y1NEKbzrCqFCelTzHnBOFxC2f2mJLd2WNK9piSZbU6XYfe_evvceRvLFXw_iQILlp3mzDbm5-VIGuErWz10eGnkwLqP94hJJs9wuJrSgl8sWPE_zm4Bxb-sGA</recordid><startdate>20110507</startdate><enddate>20110507</enddate><creator>Mahdavi, Abbas</creator><creator>Jahandideh, Samad</creator><general>Elsevier Ltd</general><scope>FBQ</scope><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>5PM</scope></search><sort><creationdate>20110507</creationdate><title>Application of density similarities to predict membrane protein types based on pseudo-amino acid composition</title><author>Mahdavi, Abbas ; Jahandideh, Samad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c478t-f5e3ed7566e2faf2c79939b72bce297217587617f48babf20f0d96f75e3cc7443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithmic predictor model</topic><topic>Amino Acids - analysis</topic><topic>cell membranes</topic><topic>Computational Biology - methods</topic><topic>Databases, Protein</topic><topic>drugs</topic><topic>membrane proteins</topic><topic>Membrane Proteins - chemistry</topic><topic>Non-algorithmic predictor model</topic><topic>prediction</topic><topic>Protein structure</topic><topic>signal transduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahdavi, Abbas</creatorcontrib><creatorcontrib>Jahandideh, Samad</creatorcontrib><collection>AGRIS</collection><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>PubMed Central (Full Participant titles)</collection><jtitle>Journal of theoretical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahdavi, Abbas</au><au>Jahandideh, Samad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of density similarities to predict membrane protein types based on pseudo-amino acid composition</atitle><jtitle>Journal of theoretical biology</jtitle><addtitle>J Theor Biol</addtitle><date>2011-05-07</date><risdate>2011</risdate><volume>276</volume><issue>1</issue><spage>132</spage><epage>137</epage><pages>132-137</pages><issn>0022-5193</issn><eissn>1095-8541</eissn><abstract>Cell membranes provide integrity of living cells. 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subjects | Algorithmic predictor model Amino Acids - analysis cell membranes Computational Biology - methods Databases, Protein drugs membrane proteins Membrane Proteins - chemistry Non-algorithmic predictor model prediction Protein structure signal transduction |
title | Application of density similarities to predict membrane protein types based on pseudo-amino acid composition |
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