Analysis of changes of cavity volumes in predefined directions of protein motions and cavity flexibility
Dynamics of protein cavities associated with protein fluctuations and conformational plasticity is essential for their biological function. NMR ensembles, molecular dynamics (MD) simulations, and normal mode analysis (NMA) provide appropriate frameworks to explore functionally relevant protein dynam...
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Veröffentlicht in: | Journal of computational chemistry 2022-03, Vol.43 (6), p.391-401 |
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description | Dynamics of protein cavities associated with protein fluctuations and conformational plasticity is essential for their biological function. NMR ensembles, molecular dynamics (MD) simulations, and normal mode analysis (NMA) provide appropriate frameworks to explore functionally relevant protein dynamics and cavity changes relationships. Within this context, we have recently developed analysis of null areas (ANA), an efficient method to calculate cavity volumes. ANA is based on a combination of algorithms that guarantees its robustness against numerical differentiations. This is a unique feature with respect to other methods. Herein, we present an updated and improved version that expands it use to quantify changes in cavity features, like volume and flexibility, due to protein structural distortions performed on predefined biologically relevant directions, for example, directions of largest contribution to protein fluctuations (principal component analysis [PCA modes]) obtained by MD simulations or ensembles of NMR structures, collective NMA modes or any other direction of motion associated with specific conformational changes. A web page has been developed where its facilities are explained in detail. First, we show that ANA can be useful to explore gradual changes of cavity volume and flexibility associated with protein ligand binding. Secondly, we perform a comparison study of the extent of variability between protein backbone structural distortions, and changes in cavity volumes and flexibilities evaluated for an ensemble of NMR active and inactive conformers of the epidermal growth factor receptor structures. Finally, we compare changes in size and flexibility between sets of NMR structures for different homologous chains of dynein.
Changes of cavity volumes and flexibility in predefined directions of protein motion obtained from molecular dynamics, normal modes, NMR ensembles or any other direction of motion associated with a specific conformational change. |
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Changes of cavity volumes and flexibility in predefined directions of protein motion obtained from molecular dynamics, normal modes, NMR ensembles or any other direction of motion associated with a specific conformational change.</description><subject>Algorithms</subject><subject>cavities</subject><subject>Computational Chemistry</subject><subject>ErbB Receptors - chemistry</subject><subject>Flexibility</subject><subject>Growth factors</subject><subject>Holes</subject><subject>Homology</subject><subject>Models, Molecular</subject><subject>Molecular dynamics</subject><subject>Molecular Dynamics Simulation</subject><subject>NMA</subject><subject>NMR</subject><subject>Normal Mode Analysis</subject><subject>Nuclear magnetic resonance</subject><subject>PCA</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>protein cavity</subject><subject>Protein Conformation</subject><subject>Proteins</subject><subject>Robustness (mathematics)</subject><subject>Websites</subject><issn>0192-8651</issn><issn>1096-987X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10E1LwzAYB_AgipvTg19ACl700C1P2qbJcRRfGXhR8FbSNHEZfZlNO-23N1s3D4KnPDz55U_4I3QJeAoYk9lKyimhMedHaAyYU5-z-P0YjTFw4jMawQidWbvCGAcRDU_RKAg5JYTTMVrOK1H01liv1p5ciupDDaPYmLb3NnXRlW5jKm_dqFxpU6ncy02jZGvqakfXTd0qB8p6WIkqPzzXhfo2mSncfI5OtCisutifE_R2f_eaPPqLl4enZL7wZcAY92kc5LEComnEYsUgF3kQaS4ggEzgGAKBaRYylmnJJMliqhlId0kgJCzMdDBBN0Ou-9Znp2yblsZKVRSiUnVnU0Ihch0BxY5e_6GrumtcH1tFAFgUYnDqdlCyqa1tlE7XjSlF06eA0239qas_3dXv7NU-sctKlf_KQ98OzAbwZQrV_5-UPifJEPkDupyO-w</recordid><startdate>20220305</startdate><enddate>20220305</enddate><creator>Barletta, German P.</creator><creator>Barletta, Matias</creator><creator>Saldaño, Tadeo E.</creator><creator>Fernandez‐Alberti, Sebastian</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</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>JQ2</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0806-0812</orcidid><orcidid>https://orcid.org/0000-0002-0916-5069</orcidid><orcidid>https://orcid.org/0000-0003-0017-4660</orcidid></search><sort><creationdate>20220305</creationdate><title>Analysis of changes of cavity volumes in predefined directions of protein motions and cavity flexibility</title><author>Barletta, German P. ; Barletta, Matias ; Saldaño, Tadeo E. ; Fernandez‐Alberti, Sebastian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3889-673d7e12f6587e81dad35f9a131ba0713a06b488bfc8c2b76f81c131214284bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>cavities</topic><topic>Computational Chemistry</topic><topic>ErbB Receptors - chemistry</topic><topic>Flexibility</topic><topic>Growth factors</topic><topic>Holes</topic><topic>Homology</topic><topic>Models, Molecular</topic><topic>Molecular dynamics</topic><topic>Molecular Dynamics Simulation</topic><topic>NMA</topic><topic>NMR</topic><topic>Normal Mode Analysis</topic><topic>Nuclear magnetic resonance</topic><topic>PCA</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>protein cavity</topic><topic>Protein Conformation</topic><topic>Proteins</topic><topic>Robustness (mathematics)</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barletta, German P.</creatorcontrib><creatorcontrib>Barletta, Matias</creatorcontrib><creatorcontrib>Saldaño, Tadeo E.</creatorcontrib><creatorcontrib>Fernandez‐Alberti, Sebastian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of computational chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barletta, German P.</au><au>Barletta, Matias</au><au>Saldaño, Tadeo E.</au><au>Fernandez‐Alberti, Sebastian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of changes of cavity volumes in predefined directions of protein motions and cavity flexibility</atitle><jtitle>Journal of computational chemistry</jtitle><addtitle>J Comput Chem</addtitle><date>2022-03-05</date><risdate>2022</risdate><volume>43</volume><issue>6</issue><spage>391</spage><epage>401</epage><pages>391-401</pages><issn>0192-8651</issn><eissn>1096-987X</eissn><abstract>Dynamics of protein cavities associated with protein fluctuations and conformational plasticity is essential for their biological function. NMR ensembles, molecular dynamics (MD) simulations, and normal mode analysis (NMA) provide appropriate frameworks to explore functionally relevant protein dynamics and cavity changes relationships. Within this context, we have recently developed analysis of null areas (ANA), an efficient method to calculate cavity volumes. ANA is based on a combination of algorithms that guarantees its robustness against numerical differentiations. This is a unique feature with respect to other methods. Herein, we present an updated and improved version that expands it use to quantify changes in cavity features, like volume and flexibility, due to protein structural distortions performed on predefined biologically relevant directions, for example, directions of largest contribution to protein fluctuations (principal component analysis [PCA modes]) obtained by MD simulations or ensembles of NMR structures, collective NMA modes or any other direction of motion associated with specific conformational changes. A web page has been developed where its facilities are explained in detail. First, we show that ANA can be useful to explore gradual changes of cavity volume and flexibility associated with protein ligand binding. Secondly, we perform a comparison study of the extent of variability between protein backbone structural distortions, and changes in cavity volumes and flexibilities evaluated for an ensemble of NMR active and inactive conformers of the epidermal growth factor receptor structures. Finally, we compare changes in size and flexibility between sets of NMR structures for different homologous chains of dynein.
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subjects | Algorithms cavities Computational Chemistry ErbB Receptors - chemistry Flexibility Growth factors Holes Homology Models, Molecular Molecular dynamics Molecular Dynamics Simulation NMA NMR Normal Mode Analysis Nuclear magnetic resonance PCA Principal Component Analysis Principal components analysis protein cavity Protein Conformation Proteins Robustness (mathematics) Websites |
title | Analysis of changes of cavity volumes in predefined directions of protein motions and cavity flexibility |
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