Mapping allosteric pathway in NIa-Pro using computational approach

Background: Computer simulation studies complement in vitro experiments and provide avenue to understand allosteric regulation in the absence of other molecular viewing techniques. Molecular dynamics captures internal motion within the protein and enables tracing the communication path between a cat...

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Veröffentlicht in:Quantitative biology 2023-03, Vol.11 (1), p.82-93
Hauptverfasser: Panigrahi, Rashmi, Kailasam, Senthilkumar
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Kailasam, Senthilkumar
description Background: Computer simulation studies complement in vitro experiments and provide avenue to understand allosteric regulation in the absence of other molecular viewing techniques. Molecular dynamics captures internal motion within the protein and enables tracing the communication path between a catalytic site and a distal allosteric site. In this article, we have identified the communication pathway between the viral protein genome linked (VPg) binding region and catalytic active site in nuclear inclusion protein-a protease (NIa-Pro). Methods: Molecular dynamics followed by in silico analyses have been used to map the allosteric pathway. Results: This study delineates the residue interaction network involved in allosteric regulation of NIa-Pro activity by VPg. Simulation studies indicate that point mutations in the VPg interaction interface of NIa-Pro lead to disruption in these networks and change the orientation of catalytic residues. His142Ala and His167Ala mutations do not show a substantial change in the overall protease structure, but rather in the residue interaction network and catalytic site geometry. Conclusion: Our mutagenic study delineates the allosteric pathway and facilitates the understanding of the modulation of NIa-Pro activity on a molecular level in the absence of the structure of its complex with the known regulator VPg. Additionally, our in silico analysis explains the molecular concepts and highlights the dynamics behind the previously reported wet lab study findings.
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Molecular dynamics captures internal motion within the protein and enables tracing the communication path between a catalytic site and a distal allosteric site. In this article, we have identified the communication pathway between the viral protein genome linked (VPg) binding region and catalytic active site in nuclear inclusion protein-a protease (NIa-Pro). Methods: Molecular dynamics followed by in silico analyses have been used to map the allosteric pathway. Results: This study delineates the residue interaction network involved in allosteric regulation of NIa-Pro activity by VPg. Simulation studies indicate that point mutations in the VPg interaction interface of NIa-Pro lead to disruption in these networks and change the orientation of catalytic residues. His142Ala and His167Ala mutations do not show a substantial change in the overall protease structure, but rather in the residue interaction network and catalytic site geometry. Conclusion: Our mutagenic study delineates the allosteric pathway and facilitates the understanding of the modulation of NIa-Pro activity on a molecular level in the absence of the structure of its complex with the known regulator VPg. Additionally, our in silico analysis explains the molecular concepts and highlights the dynamics behind the previously reported wet lab study findings.</description><identifier>ISSN: 2095-4689</identifier><identifier>EISSN: 2095-4697</identifier><identifier>DOI: 10.15302/J-QB-022-0296</identifier><language>eng</language><publisher>Beijing: Higher Education Press</publisher><subject>Allosteric properties ; allostery ; Computer applications ; Computer simulation ; Gene mapping ; Genomes ; Mutation ; NIa-Pro ; Proteins ; residue interaction network ; simulation ; VPg</subject><ispartof>Quantitative biology, 2023-03, Vol.11 (1), p.82-93</ispartof><rights>Copyright reserved, 2022, The Author(s). 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Additionally, our in silico analysis explains the molecular concepts and highlights the dynamics behind the previously reported wet lab study findings.</description><subject>Allosteric properties</subject><subject>allostery</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Gene mapping</subject><subject>Genomes</subject><subject>Mutation</subject><subject>NIa-Pro</subject><subject>Proteins</subject><subject>residue interaction network</subject><subject>simulation</subject><subject>VPg</subject><issn>2095-4689</issn><issn>2095-4697</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkM9LwzAUx4MoOHRXzwXPnUmapOnRDqcb88fAnUOSpWuka2rSMfbfm1nxJh4e7wffz3uPLwA3CE4QzSC-W6SrMoUYxyjYGRhhWNCUsCI__615cQnGIVgFCYGcYAxHoHyWXWfbbSKbxoXeeKuTTvb1QR4T2yYvc5m-eZfsw0mj3a7b97K3rpVNEkHvpK6vwUUlm2DGP_kKrGcP79OndPn6OJ_eL1OdUZanJEMUK805o3lVMIKVUowaFXueK7RBCFG-0QRqpo2Smuo4qqDkqoqZ8uwK3A5749nPvQm9-HB7Hz8JAucFyhlHhETVZFBp70LwphKdtzvpjwJB8W2VWIhVKaJV4mRVBPIBONjGHP9Ri9W6xOUMQszzSNKBrO22Nt5sOm9CEJV3bW-ND39d_AJxzX0u</recordid><startdate>202303</startdate><enddate>202303</enddate><creator>Panigrahi, Rashmi</creator><creator>Kailasam, Senthilkumar</creator><general>Higher Education Press</general><general>John Wiley &amp; Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202303</creationdate><title>Mapping allosteric pathway in NIa-Pro using computational approach</title><author>Panigrahi, Rashmi ; Kailasam, Senthilkumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3567-43152bc88657f9642bbb65eb86587b1d11158dc40c6cebac5cd11f0a8bf11f583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Allosteric properties</topic><topic>allostery</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Gene mapping</topic><topic>Genomes</topic><topic>Mutation</topic><topic>NIa-Pro</topic><topic>Proteins</topic><topic>residue interaction network</topic><topic>simulation</topic><topic>VPg</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Panigrahi, Rashmi</creatorcontrib><creatorcontrib>Kailasam, Senthilkumar</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><jtitle>Quantitative biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Panigrahi, Rashmi</au><au>Kailasam, Senthilkumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping allosteric pathway in NIa-Pro using computational approach</atitle><jtitle>Quantitative biology</jtitle><stitle>Quant. 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subjects Allosteric properties
allostery
Computer applications
Computer simulation
Gene mapping
Genomes
Mutation
NIa-Pro
Proteins
residue interaction network
simulation
VPg
title Mapping allosteric pathway in NIa-Pro using computational approach
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