Literature DB >> 26130403

Comparison of intrinsic dynamics of cytochrome p450 proteins using normal mode analysis.

Mariah E Dorner1, Ryan D McMunn1, Thomas G Bartholow1, Brecken E Calhoon1, Michelle R Conlon1, Jessica M Dulli1, Samuel C Fehling1, Cody R Fisher1, Shane W Hodgson1, Shawn W Keenan1, Alyssa N Kruger1, Justin W Mabin1, Daniel L Mazula1, Christopher A Monte1, Augustus Olthafer1, Ashley E Sexton1, Beatrice R Soderholm1, Alexander M Strom1, Sanchita Hati1.   

Abstract

Cytochrome P450 enzymes are hemeproteins that catalyze the monooxygenation of a wide-range of structurally diverse substrates of endogenous and exogenous origin. These heme monooxygenases receive electrons from NADH/NADPH via electron transfer proteins. The cytochrome P450 enzymes, which constitute a diverse superfamily of more than 8,700 proteins, share a common tertiary fold but < 25% sequence identity. Based on their electron transfer protein partner, cytochrome P450 proteins are classified into six broad classes. Traditional methods of pro are based on the canonical paradigm that attributes proteins' function to their three-dimensional structure, which is determined by their primary structure that is the amino acid sequence. It is increasingly recognized that protein dynamics play an important role in molecular recognition and catalytic activity. As the mobility of a protein is an intrinsic property that is encrypted in its primary structure, we examined if different classes of cytochrome P450 enzymes display any unique patterns of intrinsic mobility. Normal mode analysis was performed to characterize the intrinsic dynamics of five classes of cytochrome P450 proteins. The present study revealed that cytochrome P450 enzymes share a strong dynamic similarity (root mean squared inner product > 55% and Bhattacharyya coefficient > 80%), despite the low sequence identity (< 25%) and sequence similarity (< 50%) across the cytochrome P450 superfamily. Noticeable differences in Cα atom fluctuations of structural elements responsible for substrate binding were noticed. These differences in residue fluctuations might be crucial for substrate selectivity in these enzymes.
© 2015 The Protein Society.

Entities:  

Keywords:  Cytochrome P450; P450 systems; normal mode analysis; protein dynamics; protein superfamily

Mesh:

Substances:

Year:  2015        PMID: 26130403      PMCID: PMC4570543          DOI: 10.1002/pro.2737

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  63 in total

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Authors:  Swati Prasad; Samaresh Mitra
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Journal:  J Biol Chem       Date:  2003-09-27       Impact factor: 5.157

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Authors:  Edvin Fuglebakk; Julián Echave; Nathalie Reuter
Journal:  Bioinformatics       Date:  2012-07-12       Impact factor: 6.937

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Authors:  Sharon Hammes-Schiffer
Journal:  Biochemistry       Date:  2012-12-20       Impact factor: 3.162

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Authors:  Siv Midtun Hollup; Gisle Salensminde; Nathalie Reuter
Journal:  BMC Bioinformatics       Date:  2005-03-11       Impact factor: 3.169

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  3 in total

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2.  Molecular elucidation of a new allelic variation at the Sg-5 gene associated with the absence of group A saponins in wild soybean.

Authors:  Jagadeesh Sundaramoorthy; Gyu Tae Park; Kyosuke Mukaiyama; Chigen Tsukamoto; Jeong Ho Chang; Jeong-Dong Lee; Jeong Hoe Kim; Hak Soo Seo; Jong Tae Song
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

3.  Exploring the intrinsic dynamics of SARS-CoV-2, SARS-CoV and MERS-CoV spike glycoprotein through normal mode analysis using anisotropic network model.

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Journal:  J Mol Graph Model       Date:  2020-10-16       Impact factor: 2.518

  3 in total

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