Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase
Aspartate carbamoyltransferase (ATCase) is a large dodecameric enzyme with six active sites that exhibits allostery: its catalytic rate is modulated by the binding of various substrates at distal points from the active sites. A recently developed method, bond-to-bond propensity analysis, has proven...
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description | Aspartate carbamoyltransferase (ATCase) is a large dodecameric enzyme with six active sites that exhibits allostery: its catalytic rate is modulated by the binding of various substrates at distal points from the active sites. A recently developed method, bond-to-bond propensity analysis, has proven capable of predicting allosteric sites in a wide range of proteins using an energy-weighted atomistic graph obtained from the protein structure and given knowledge only of the location of the active site. Bond-to-bond propensity establishes if energy fluctuations at given bonds have significant effects on any other bond in the protein, by considering their propagation through the protein graph. In this work, we use bond-to-bond propensity analysis to study different aspects of ATCase activity using three different protein structures and sources of fluctuations. First, we predict key residues and bonds involved in the transition between inactive (T) and active (R) states of ATCase by analysing allosteric substrate binding as a source of energy perturbations in the protein graph. Our computational results also indicate that the effect of multiple allosteric binding is non linear: a switching effect is observed after a particular number and arrangement of substrates is bound suggesting a form of long range communication between the distantly arranged allosteric sites. Second, cooperativity is explored by considering a bisubstrate analogue as the source of energy fluctuations at the active site, also leading to the identification of highly significant residues to the T ↔ R transition that enhance cooperativity across active sites. Finally, the inactive (T) structure is shown to exhibit a strong, non linear communication between the allosteric sites and the interface between catalytic subunits, rather than the active site. Bond-to-bond propensity thus offers an alternative route to explain allosteric and cooperative effects in terms of detailed atomistic changes to individual bonds within the protein, rather than through phenomenological, global thermodynamic arguments. |
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A recently developed method, bond-to-bond propensity analysis, has proven capable of predicting allosteric sites in a wide range of proteins using an energy-weighted atomistic graph obtained from the protein structure and given knowledge only of the location of the active site. Bond-to-bond propensity establishes if energy fluctuations at given bonds have significant effects on any other bond in the protein, by considering their propagation through the protein graph. In this work, we use bond-to-bond propensity analysis to study different aspects of ATCase activity using three different protein structures and sources of fluctuations. First, we predict key residues and bonds involved in the transition between inactive (T) and active (R) states of ATCase by analysing allosteric substrate binding as a source of energy perturbations in the protein graph. Our computational results also indicate that the effect of multiple allosteric binding is non linear: a switching effect is observed after a particular number and arrangement of substrates is bound suggesting a form of long range communication between the distantly arranged allosteric sites. Second, cooperativity is explored by considering a bisubstrate analogue as the source of energy fluctuations at the active site, also leading to the identification of highly significant residues to the T ↔ R transition that enhance cooperativity across active sites. Finally, the inactive (T) structure is shown to exhibit a strong, non linear communication between the allosteric sites and the interface between catalytic subunits, rather than the active site. Bond-to-bond propensity thus offers an alternative route to explain allosteric and cooperative effects in terms of detailed atomistic changes to individual bonds within the protein, rather than through phenomenological, global thermodynamic arguments.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-27992-z</identifier><identifier>PMID: 30038211</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>119/118 ; 631/57/2266 ; 631/57/2272/2275 ; Adenosine Triphosphate - metabolism ; Allosteric properties ; Allosteric Regulation ; Allosteric Site ; Aspartate carbamoyltransferase ; Aspartate Carbamoyltransferase - chemistry ; Aspartate Carbamoyltransferase - metabolism ; Aspartic Acid - analogs & derivatives ; Aspartic Acid - metabolism ; Catalytic Domain ; Catalytic subunits ; Computer applications ; Cooperativity ; Cytidine Triphosphate - metabolism ; Energy ; Enzyme Stability ; Fluctuations ; Humanities and Social Sciences ; Models, Molecular ; multidisciplinary ; Phosphonoacetic Acid - analogs & derivatives ; Phosphonoacetic Acid - metabolism ; Protein Multimerization ; Protein structure ; Protein Subunits - chemistry ; Protein Subunits - metabolism ; Proteins ; Science ; Science (multidisciplinary) ; Substrate Specificity</subject><ispartof>Scientific reports, 2018-07, Vol.8 (1), p.11079-14, Article 11079</ispartof><rights>The Author(s) 2018</rights><rights>2018. 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A recently developed method, bond-to-bond propensity analysis, has proven capable of predicting allosteric sites in a wide range of proteins using an energy-weighted atomistic graph obtained from the protein structure and given knowledge only of the location of the active site. Bond-to-bond propensity establishes if energy fluctuations at given bonds have significant effects on any other bond in the protein, by considering their propagation through the protein graph. In this work, we use bond-to-bond propensity analysis to study different aspects of ATCase activity using three different protein structures and sources of fluctuations. First, we predict key residues and bonds involved in the transition between inactive (T) and active (R) states of ATCase by analysing allosteric substrate binding as a source of energy perturbations in the protein graph. Our computational results also indicate that the effect of multiple allosteric binding is non linear: a switching effect is observed after a particular number and arrangement of substrates is bound suggesting a form of long range communication between the distantly arranged allosteric sites. Second, cooperativity is explored by considering a bisubstrate analogue as the source of energy fluctuations at the active site, also leading to the identification of highly significant residues to the T ↔ R transition that enhance cooperativity across active sites. Finally, the inactive (T) structure is shown to exhibit a strong, non linear communication between the allosteric sites and the interface between catalytic subunits, rather than the active site. 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metabolism</topic><topic>Allosteric properties</topic><topic>Allosteric Regulation</topic><topic>Allosteric Site</topic><topic>Aspartate carbamoyltransferase</topic><topic>Aspartate Carbamoyltransferase - chemistry</topic><topic>Aspartate Carbamoyltransferase - metabolism</topic><topic>Aspartic Acid - analogs & derivatives</topic><topic>Aspartic Acid - metabolism</topic><topic>Catalytic Domain</topic><topic>Catalytic subunits</topic><topic>Computer applications</topic><topic>Cooperativity</topic><topic>Cytidine Triphosphate - metabolism</topic><topic>Energy</topic><topic>Enzyme Stability</topic><topic>Fluctuations</topic><topic>Humanities and Social Sciences</topic><topic>Models, Molecular</topic><topic>multidisciplinary</topic><topic>Phosphonoacetic Acid - analogs & derivatives</topic><topic>Phosphonoacetic Acid - metabolism</topic><topic>Protein Multimerization</topic><topic>Protein structure</topic><topic>Protein Subunits - chemistry</topic><topic>Protein Subunits - metabolism</topic><topic>Proteins</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Substrate Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hodges, Maxwell</creatorcontrib><creatorcontrib>Barahona, Mauricio</creatorcontrib><creatorcontrib>Yaliraki, Sophia N.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</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 Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hodges, Maxwell</au><au>Barahona, Mauricio</au><au>Yaliraki, Sophia N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2018-07-23</date><risdate>2018</risdate><volume>8</volume><issue>1</issue><spage>11079</spage><epage>14</epage><pages>11079-14</pages><artnum>11079</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Aspartate carbamoyltransferase (ATCase) is a large dodecameric enzyme with six active sites that exhibits allostery: its catalytic rate is modulated by the binding of various substrates at distal points from the active sites. A recently developed method, bond-to-bond propensity analysis, has proven capable of predicting allosteric sites in a wide range of proteins using an energy-weighted atomistic graph obtained from the protein structure and given knowledge only of the location of the active site. Bond-to-bond propensity establishes if energy fluctuations at given bonds have significant effects on any other bond in the protein, by considering their propagation through the protein graph. In this work, we use bond-to-bond propensity analysis to study different aspects of ATCase activity using three different protein structures and sources of fluctuations. First, we predict key residues and bonds involved in the transition between inactive (T) and active (R) states of ATCase by analysing allosteric substrate binding as a source of energy perturbations in the protein graph. Our computational results also indicate that the effect of multiple allosteric binding is non linear: a switching effect is observed after a particular number and arrangement of substrates is bound suggesting a form of long range communication between the distantly arranged allosteric sites. Second, cooperativity is explored by considering a bisubstrate analogue as the source of energy fluctuations at the active site, also leading to the identification of highly significant residues to the T ↔ R transition that enhance cooperativity across active sites. Finally, the inactive (T) structure is shown to exhibit a strong, non linear communication between the allosteric sites and the interface between catalytic subunits, rather than the active site. Bond-to-bond propensity thus offers an alternative route to explain allosteric and cooperative effects in terms of detailed atomistic changes to individual bonds within the protein, rather than through phenomenological, global thermodynamic arguments.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30038211</pmid><doi>10.1038/s41598-018-27992-z</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-1089-5675</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 119/118 631/57/2266 631/57/2272/2275 Adenosine Triphosphate - metabolism Allosteric properties Allosteric Regulation Allosteric Site Aspartate carbamoyltransferase Aspartate Carbamoyltransferase - chemistry Aspartate Carbamoyltransferase - metabolism Aspartic Acid - analogs & derivatives Aspartic Acid - metabolism Catalytic Domain Catalytic subunits Computer applications Cooperativity Cytidine Triphosphate - metabolism Energy Enzyme Stability Fluctuations Humanities and Social Sciences Models, Molecular multidisciplinary Phosphonoacetic Acid - analogs & derivatives Phosphonoacetic Acid - metabolism Protein Multimerization Protein structure Protein Subunits - chemistry Protein Subunits - metabolism Proteins Science Science (multidisciplinary) Substrate Specificity |
title | Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase |
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