Assessing Allostery in Intrinsically Disordered Proteins With Ensemble Allosteric Model
Intrinsically disordered (ID) proteins have been shown to play a major role in signaling in a broad range of proteins, using a process known as allostery, wherein the protein can integrate one or a number of inputs to regulate its function. The disorder-mediated allostery can be understood energetic...
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Veröffentlicht in: | Methods in enzymology 2018, Vol.611, p.531-557 |
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description | Intrinsically disordered (ID) proteins have been shown to play a major role in signaling in a broad range of proteins, using a process known as allostery, wherein the protein can integrate one or a number of inputs to regulate its function. The disorder-mediated allostery can be understood energetically with ensemble allosteric model (EAM). In this model, the molecule without effectors is considered as an ensemble of preexisting conformations, and effector binding is treated as an energetic perturbation of the ensemble to redistribute the microstates that are favorable or unfavorable to the second binding partner. As it only considers the intrinsic energetics of the system and does not depend on a crystallographic structure, it can be applied to both structured proteins, ID proteins, and mixed proteins with both structured and ID domains. Simulation with EAM on the basis of experimental data can help quantitatively explain experimental observations, as well as to make predictions to direct future research. This has recently been illustrated with the case of human glucocorticoid receptor, a multidomain transcription factor that contains both structured and disordered regions. In this chapter, we describe the assays for measuring the transcriptional activity, binding affinity to cognate DNA, conformational stability, either on single domain or tandem coupled domains in the GR two-domain isoforms. We then explain how these data are utilized as input parameters or constraints in the EAM for quantitative estimates of stabilities and coupling energies for each domain through global minimization method. |
doi_str_mv | 10.1016/bs.mie.2018.09.004 |
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The disorder-mediated allostery can be understood energetically with ensemble allosteric model (EAM). In this model, the molecule without effectors is considered as an ensemble of preexisting conformations, and effector binding is treated as an energetic perturbation of the ensemble to redistribute the microstates that are favorable or unfavorable to the second binding partner. As it only considers the intrinsic energetics of the system and does not depend on a crystallographic structure, it can be applied to both structured proteins, ID proteins, and mixed proteins with both structured and ID domains. Simulation with EAM on the basis of experimental data can help quantitatively explain experimental observations, as well as to make predictions to direct future research. This has recently been illustrated with the case of human glucocorticoid receptor, a multidomain transcription factor that contains both structured and disordered regions. In this chapter, we describe the assays for measuring the transcriptional activity, binding affinity to cognate DNA, conformational stability, either on single domain or tandem coupled domains in the GR two-domain isoforms. We then explain how these data are utilized as input parameters or constraints in the EAM for quantitative estimates of stabilities and coupling energies for each domain through global minimization method.</description><identifier>EISSN: 1557-7988</identifier><identifier>DOI: 10.1016/bs.mie.2018.09.004</identifier><identifier>PMID: 30471699</identifier><language>eng</language><publisher>United States</publisher><subject>Allosteric Regulation ; Animals ; Cell Line ; DNA - chemistry ; DNA - genetics ; DNA - metabolism ; Fluorescence Polarization - methods ; Genetic Vectors - genetics ; Humans ; Intrinsically Disordered Proteins - chemistry ; Intrinsically Disordered Proteins - genetics ; Intrinsically Disordered Proteins - metabolism ; Models, Molecular ; Protein Binding ; Protein Conformation ; Protein Domains ; Protein Isoforms - chemistry ; Protein Isoforms - genetics ; Protein Isoforms - metabolism ; Receptors, Glucocorticoid - chemistry ; Receptors, Glucocorticoid - genetics ; Receptors, Glucocorticoid - metabolism ; Salmon ; Transcriptional Activation ; Transfection - methods</subject><ispartof>Methods in enzymology, 2018, Vol.611, p.531-557</ispartof><rights>2018 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c260t-ca133b84a7e3ad25d430941ff628b1fdb638781048be8755de575c4c9e14fd963</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30471699$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Hilser, Vincent J</creatorcontrib><title>Assessing Allostery in Intrinsically Disordered Proteins With Ensemble Allosteric Model</title><title>Methods in enzymology</title><addtitle>Methods Enzymol</addtitle><description>Intrinsically disordered (ID) proteins have been shown to play a major role in signaling in a broad range of proteins, using a process known as allostery, wherein the protein can integrate one or a number of inputs to regulate its function. The disorder-mediated allostery can be understood energetically with ensemble allosteric model (EAM). In this model, the molecule without effectors is considered as an ensemble of preexisting conformations, and effector binding is treated as an energetic perturbation of the ensemble to redistribute the microstates that are favorable or unfavorable to the second binding partner. As it only considers the intrinsic energetics of the system and does not depend on a crystallographic structure, it can be applied to both structured proteins, ID proteins, and mixed proteins with both structured and ID domains. Simulation with EAM on the basis of experimental data can help quantitatively explain experimental observations, as well as to make predictions to direct future research. This has recently been illustrated with the case of human glucocorticoid receptor, a multidomain transcription factor that contains both structured and disordered regions. In this chapter, we describe the assays for measuring the transcriptional activity, binding affinity to cognate DNA, conformational stability, either on single domain or tandem coupled domains in the GR two-domain isoforms. We then explain how these data are utilized as input parameters or constraints in the EAM for quantitative estimates of stabilities and coupling energies for each domain through global minimization method.</description><subject>Allosteric Regulation</subject><subject>Animals</subject><subject>Cell Line</subject><subject>DNA - chemistry</subject><subject>DNA - genetics</subject><subject>DNA - metabolism</subject><subject>Fluorescence Polarization - methods</subject><subject>Genetic Vectors - genetics</subject><subject>Humans</subject><subject>Intrinsically Disordered Proteins - chemistry</subject><subject>Intrinsically Disordered Proteins - genetics</subject><subject>Intrinsically Disordered Proteins - metabolism</subject><subject>Models, Molecular</subject><subject>Protein Binding</subject><subject>Protein Conformation</subject><subject>Protein Domains</subject><subject>Protein Isoforms - chemistry</subject><subject>Protein Isoforms - genetics</subject><subject>Protein Isoforms - metabolism</subject><subject>Receptors, Glucocorticoid - chemistry</subject><subject>Receptors, Glucocorticoid - genetics</subject><subject>Receptors, Glucocorticoid - metabolism</subject><subject>Salmon</subject><subject>Transcriptional Activation</subject><subject>Transfection - methods</subject><issn>1557-7988</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kD1PwzAURS0kREvhDzAgjywJ_oztsSotVCqCAdQxSuIXMHKS4pcO_fdUojDd4Z5zh0vIDWc5Z7y4rzHvAuSCcZszlzOmzsiUa20y46ydkEvEL8aEsY5fkIlkyvDCuSnZzhEBMfQfdB7jgCOkAw09XfdjCj2GporxQB8CDslDAk9f0zDCsaHbMH7SZY_Q1RH-5dDQ58FDvCLnbRURrk85I--r5dviKdu8PK4X803WiIKNWVNxKWurKgOy8kJ7JZlTvG0LYWve-rqQ1ljOlK3BGq09aKMb1TjgqvWukDNy97u7S8P3HnAsu4ANxFj1MOyxFFxapnQh5BG9PaH7ugNf7lLoqnQo_86QP48sYQY</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Li, Jing</creator><creator>Hilser, Vincent J</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>2018</creationdate><title>Assessing Allostery in Intrinsically Disordered Proteins With Ensemble Allosteric Model</title><author>Li, Jing ; Hilser, Vincent J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c260t-ca133b84a7e3ad25d430941ff628b1fdb638781048be8755de575c4c9e14fd963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Allosteric Regulation</topic><topic>Animals</topic><topic>Cell Line</topic><topic>DNA - chemistry</topic><topic>DNA - genetics</topic><topic>DNA - metabolism</topic><topic>Fluorescence Polarization - methods</topic><topic>Genetic Vectors - genetics</topic><topic>Humans</topic><topic>Intrinsically Disordered Proteins - chemistry</topic><topic>Intrinsically Disordered Proteins - genetics</topic><topic>Intrinsically Disordered Proteins - metabolism</topic><topic>Models, Molecular</topic><topic>Protein Binding</topic><topic>Protein Conformation</topic><topic>Protein Domains</topic><topic>Protein Isoforms - chemistry</topic><topic>Protein Isoforms - genetics</topic><topic>Protein Isoforms - metabolism</topic><topic>Receptors, Glucocorticoid - chemistry</topic><topic>Receptors, Glucocorticoid - genetics</topic><topic>Receptors, Glucocorticoid - metabolism</topic><topic>Salmon</topic><topic>Transcriptional Activation</topic><topic>Transfection - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Hilser, Vincent J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Methods in enzymology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jing</au><au>Hilser, Vincent J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing Allostery in Intrinsically Disordered Proteins With Ensemble Allosteric Model</atitle><jtitle>Methods in enzymology</jtitle><addtitle>Methods Enzymol</addtitle><date>2018</date><risdate>2018</risdate><volume>611</volume><spage>531</spage><epage>557</epage><pages>531-557</pages><eissn>1557-7988</eissn><abstract>Intrinsically disordered (ID) proteins have been shown to play a major role in signaling in a broad range of proteins, using a process known as allostery, wherein the protein can integrate one or a number of inputs to regulate its function. The disorder-mediated allostery can be understood energetically with ensemble allosteric model (EAM). In this model, the molecule without effectors is considered as an ensemble of preexisting conformations, and effector binding is treated as an energetic perturbation of the ensemble to redistribute the microstates that are favorable or unfavorable to the second binding partner. As it only considers the intrinsic energetics of the system and does not depend on a crystallographic structure, it can be applied to both structured proteins, ID proteins, and mixed proteins with both structured and ID domains. Simulation with EAM on the basis of experimental data can help quantitatively explain experimental observations, as well as to make predictions to direct future research. This has recently been illustrated with the case of human glucocorticoid receptor, a multidomain transcription factor that contains both structured and disordered regions. In this chapter, we describe the assays for measuring the transcriptional activity, binding affinity to cognate DNA, conformational stability, either on single domain or tandem coupled domains in the GR two-domain isoforms. We then explain how these data are utilized as input parameters or constraints in the EAM for quantitative estimates of stabilities and coupling energies for each domain through global minimization method.</abstract><cop>United States</cop><pmid>30471699</pmid><doi>10.1016/bs.mie.2018.09.004</doi><tpages>27</tpages></addata></record> |
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subjects | Allosteric Regulation Animals Cell Line DNA - chemistry DNA - genetics DNA - metabolism Fluorescence Polarization - methods Genetic Vectors - genetics Humans Intrinsically Disordered Proteins - chemistry Intrinsically Disordered Proteins - genetics Intrinsically Disordered Proteins - metabolism Models, Molecular Protein Binding Protein Conformation Protein Domains Protein Isoforms - chemistry Protein Isoforms - genetics Protein Isoforms - metabolism Receptors, Glucocorticoid - chemistry Receptors, Glucocorticoid - genetics Receptors, Glucocorticoid - metabolism Salmon Transcriptional Activation Transfection - methods |
title | Assessing Allostery in Intrinsically Disordered Proteins With Ensemble Allosteric Model |
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