Quantifying the Long‐Range Coupling of Electronic Properties in Proteins with ab initio Molecular Dynamics. Issue 8 (19th July 2021)
- Record Type:
- Journal Article
- Title:
- Quantifying the Long‐Range Coupling of Electronic Properties in Proteins with ab initio Molecular Dynamics. Issue 8 (19th July 2021)
- Main Title:
- Quantifying the Long‐Range Coupling of Electronic Properties in Proteins with ab initio Molecular Dynamics
- Authors:
- Yang, Zhongyue
Hajlasz, Natalia
Steeves, Adam H.
Kulik, Heather J. - Abstract:
- Abstract: The delicate interplay of covalent and non‐covalent interactions in proteins is inherently quantum mechanical and highly dynamic in nature. To directly interrogate the evolving nature of the electronic structure of proteins, we carry out 100‐ps‐scale ab initio molecular dynamics simulations of three representative small proteins with range‐separated hybrid density functional theory. We quantify the nature and length‐scale of the coupling of residue‐specific charge probability distributions in these proteins. While some nonpolar residues exhibit expectedly narrow charge distributions, most polar and charged residues exhibit broad, multimodal distributions. Even for nonpolar residues, we observe sequence‐specific deviations corresponding to charge accumulation or depletion that would be challenging to capture in a fixed charge force field. We quantify the effect of residue‐residue interactions on charge distributions first with linear cross‐correlations. We then show how additional insight can be gained from evaluating the mutual information of charge distributions. We show that a significant number of residues couple most strongly with residues that are distant in both sequence and space over a range of secondary structures including α‐helical, β‐sheet, disulfide bridging, and lasso motifs. The mutual information analysis is necessary to capture coupling between some polar and charged residues that would be otherwise missed. Abstract : Analysis of cross correlationAbstract: The delicate interplay of covalent and non‐covalent interactions in proteins is inherently quantum mechanical and highly dynamic in nature. To directly interrogate the evolving nature of the electronic structure of proteins, we carry out 100‐ps‐scale ab initio molecular dynamics simulations of three representative small proteins with range‐separated hybrid density functional theory. We quantify the nature and length‐scale of the coupling of residue‐specific charge probability distributions in these proteins. While some nonpolar residues exhibit expectedly narrow charge distributions, most polar and charged residues exhibit broad, multimodal distributions. Even for nonpolar residues, we observe sequence‐specific deviations corresponding to charge accumulation or depletion that would be challenging to capture in a fixed charge force field. We quantify the effect of residue‐residue interactions on charge distributions first with linear cross‐correlations. We then show how additional insight can be gained from evaluating the mutual information of charge distributions. We show that a significant number of residues couple most strongly with residues that are distant in both sequence and space over a range of secondary structures including α‐helical, β‐sheet, disulfide bridging, and lasso motifs. The mutual information analysis is necessary to capture coupling between some polar and charged residues that would be otherwise missed. Abstract : Analysis of cross correlation and mutual information of by‐residue charge distributions in proteins reveals the long range nature of quantum mechanical charge coupling observed in the ab initio molecular dynamics of proteins. … (more)
- Is Part Of:
- Chemistry methods. Volume 1:Issue 8(2021)
- Journal:
- Chemistry methods
- Issue:
- Volume 1:Issue 8(2021)
- Issue Display:
- Volume 1, Issue 8 (2021)
- Year:
- 2021
- Volume:
- 1
- Issue:
- 8
- Issue Sort Value:
- 2021-0001-0008-0000
- Page Start:
- 362
- Page End:
- 373
- Publication Date:
- 2021-07-19
- Subjects:
- ab initio molecular dynamics -- charge transfer -- mutual information -- proteins -- statistical learning
Chemistry, Analytic -- Periodicals
543 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://chemistry-europe.onlinelibrary.wiley.com/journal/26289725 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cmtd.202100012 ↗
- Languages:
- English
- ISSNs:
- 2628-9725
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20277.xml