Dynamics and deformability of α-, 310- and π-helices
Protein structures are often represented as seen in crystals as (i) rigid macromolecules (ii) with helices, sheets and coils. However, both definitions are partial because (i) proteins are highly dynamic macromolecules and (ii) the description of protein structures could be more precise. With regard...
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University of Belgrade, University of Novi Sad
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doaj-98fac9934746405b951c892fa36339032020-11-24T23:32:56ZengUniversity of Belgrade, University of Novi SadArchives of Biological Sciences0354-46641821-43392018-01-01701213110.2298/ABS170215022N0354-46641700022NDynamics and deformability of α-, 310- and π-helicesNarwani Tarun Jairaj0Craveur Pierrick1Shinada Nicolas K.2Santuz Hubert3Rebehmed Joseph4Etchebest Catherine5de Brevern Alexandre G.6INSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, FranceINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, France + The Scripps Research Institute, Department of IntegrativeINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, France + Discngine, Paris, FranceINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, FranceINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, France + Lebanese American University, Department of Computer ScieINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, FranceINSERM, DSIMB, Paris, France + Univ Paris Diderot, Univ. Sorbonne Paris Cité, Paris, France + Institut National de la Transfusion Sanguine, Paris, France + Laboratoire d'Excellence, Paris, FranceProtein structures are often represented as seen in crystals as (i) rigid macromolecules (ii) with helices, sheets and coils. However, both definitions are partial because (i) proteins are highly dynamic macromolecules and (ii) the description of protein structures could be more precise. With regard to these two points, we analyzed and quantified the stability of helices by considering α-helices as well as 310- and π-helices. Molecular dynamic (MD) simulations were performed on a large set of 169 representative protein domains. The local protein conformations were followed during each simulation and analyzed. The classical flexibility index (B-factor) was confronted with the MD root mean square flexibility (RMSF) index. Helical regions were classified according to their level of helicity from high to none. For the first time, a precise quantification showed the percentage of rigid and flexible helices that underlie unexpected behaviors. Only 76.4% of the residues associated with α-helices retain the conformation, while this tendency drops to 40.5% for 310-helices and is never observed for π-helices. α-helix residues that do not remain as an α-helix have a higher tendency to assume β-turn conformations than 310- or π-helices. The 310-helices that switch to the α-helix conformation have a higher B-factor and RMSF values than the average 310-helix but are associated with a lower accessibility. Rare π-helices assume a β-turn, bend and coil conformations, but not α- or 310-helices. The view on π-helices drastically changes with the new DSSP (Dictionary of Secondary Structure of Proteins) assignment approach, leading to behavior similar to 310-helices, thus underlining the importance of secondary structure assignment methods.http://www.doiserbia.nb.rs/img/doi/0354-4664/2018/0354-46641700022N.pdfhelical local conformationsstructural alphabetmolecular dynamicsdisorderflexibility |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Narwani Tarun Jairaj Craveur Pierrick Shinada Nicolas K. Santuz Hubert Rebehmed Joseph Etchebest Catherine de Brevern Alexandre G. |
spellingShingle |
Narwani Tarun Jairaj Craveur Pierrick Shinada Nicolas K. Santuz Hubert Rebehmed Joseph Etchebest Catherine de Brevern Alexandre G. Dynamics and deformability of α-, 310- and π-helices Archives of Biological Sciences helical local conformations structural alphabet molecular dynamics disorder flexibility |
author_facet |
Narwani Tarun Jairaj Craveur Pierrick Shinada Nicolas K. Santuz Hubert Rebehmed Joseph Etchebest Catherine de Brevern Alexandre G. |
author_sort |
Narwani Tarun Jairaj |
title |
Dynamics and deformability of α-, 310- and π-helices |
title_short |
Dynamics and deformability of α-, 310- and π-helices |
title_full |
Dynamics and deformability of α-, 310- and π-helices |
title_fullStr |
Dynamics and deformability of α-, 310- and π-helices |
title_full_unstemmed |
Dynamics and deformability of α-, 310- and π-helices |
title_sort |
dynamics and deformability of α-, 310- and π-helices |
publisher |
University of Belgrade, University of Novi Sad |
series |
Archives of Biological Sciences |
issn |
0354-4664 1821-4339 |
publishDate |
2018-01-01 |
description |
Protein structures are often represented as seen in crystals as (i) rigid macromolecules (ii) with helices, sheets and coils. However, both definitions are partial because (i) proteins are highly dynamic macromolecules and (ii) the description of protein structures could be more precise. With regard to these two points, we analyzed and quantified the stability of helices by considering α-helices as well as 310- and π-helices. Molecular dynamic (MD) simulations were performed on a large set of 169 representative protein domains. The local protein conformations were followed during each simulation and analyzed. The classical flexibility index (B-factor) was confronted with the MD root mean square flexibility (RMSF) index. Helical regions were classified according to their level of helicity from high to none. For the first time, a precise quantification showed the percentage of rigid and flexible helices that underlie unexpected behaviors. Only 76.4% of the residues associated with α-helices retain the conformation, while this tendency drops to 40.5% for 310-helices and is never observed for π-helices. α-helix residues that do not remain as an α-helix have a higher tendency to assume β-turn conformations than 310- or π-helices. The 310-helices that switch to the α-helix conformation have a higher B-factor and RMSF values than the average 310-helix but are associated with a lower accessibility. Rare π-helices assume a β-turn, bend and coil conformations, but not α- or 310-helices. The view on π-helices drastically changes with the new DSSP (Dictionary of Secondary Structure of Proteins) assignment approach, leading to behavior similar to 310-helices, thus underlining the importance of secondary structure assignment methods. |
topic |
helical local conformations structural alphabet molecular dynamics disorder flexibility |
url |
http://www.doiserbia.nb.rs/img/doi/0354-4664/2018/0354-46641700022N.pdf |
work_keys_str_mv |
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