Collagen is a protein family defined by a triple helix motif, which comprises roughly one-third of the total human protein content. Decoding the reasons underlying the stability of the collagen triple helix is of both fundamental and applicative relevance, for instance, to guide collagen protein engineering. In principle, full quantum mechanical approaches based on density functional theory (DFT) are ideal to study the subtle physico-chemical features of collagen. Unfortunately, the huge size of the protein prevents the straightforward application of DFT to realistic collagen protein models. In this paper, we propose a new realistic model of the collagen protein based on a periodic approach. The protein model exploits the intrinsic symmetry of the collagen triple helix, dramatically lowering the cost of the simulations. This allows using accurate hybrid DFT simulations (B3LYP-D/TZP) for systematic studies of the collagen protein features. We have tested the proposed model/level-of-theory combination to analyze the well-known proline-conformation/collagen-stability relationship. For this purpose, we have performed an extensive conformational analysis of proline ring within the protein, clarifying some of the reasons linking specific ring conformations to helix positions. Throughout our data analysis, we have also obtained "for free" the collagen inter-strand binding energy. Simulation results demonstrate that London dispersion interactions play the dominant role in the whole helix stability. The good agreement with the experimental data validates the use of the proposed model/level-of-theory to assist the active field of collagen-like peptide synthesis.

Decoding Collagen Triple Helix Stability by Means of Hybrid DFT Simulations

Cutini M.;Bocus M.;Ugliengo P.
2019-01-01

Abstract

Collagen is a protein family defined by a triple helix motif, which comprises roughly one-third of the total human protein content. Decoding the reasons underlying the stability of the collagen triple helix is of both fundamental and applicative relevance, for instance, to guide collagen protein engineering. In principle, full quantum mechanical approaches based on density functional theory (DFT) are ideal to study the subtle physico-chemical features of collagen. Unfortunately, the huge size of the protein prevents the straightforward application of DFT to realistic collagen protein models. In this paper, we propose a new realistic model of the collagen protein based on a periodic approach. The protein model exploits the intrinsic symmetry of the collagen triple helix, dramatically lowering the cost of the simulations. This allows using accurate hybrid DFT simulations (B3LYP-D/TZP) for systematic studies of the collagen protein features. We have tested the proposed model/level-of-theory combination to analyze the well-known proline-conformation/collagen-stability relationship. For this purpose, we have performed an extensive conformational analysis of proline ring within the protein, clarifying some of the reasons linking specific ring conformations to helix positions. Throughout our data analysis, we have also obtained "for free" the collagen inter-strand binding energy. Simulation results demonstrate that London dispersion interactions play the dominant role in the whole helix stability. The good agreement with the experimental data validates the use of the proposed model/level-of-theory to assist the active field of collagen-like peptide synthesis.
2019
123
34
7354
7364
http://pubs.acs.org/journal/jpcbfk
Cutini M.; Bocus M.; Ugliengo P.
File in questo prodotto:
File Dimensione Formato  
jp-2019-052228.R1_Proof_hi.pdf

Accesso aperto

Descrizione: Post print
Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 1.23 MB
Formato Adobe PDF
1.23 MB Adobe PDF Visualizza/Apri
cutini2019_printed_paper.pdf

Accesso riservato

Descrizione: PDF editoriale
Tipo di file: PDF EDITORIALE
Dimensione 4.51 MB
Formato Adobe PDF
4.51 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1728934
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 13
social impact