Starting structures and NMR and simulation relaxation data for the structural ensembles of Dengue protease NS2B/NS3pro

SND-ID: 2023-244. Version: 1. DOI: https://doi.org/10.5878/5wea-fk76

Citation

Creator/Principal investigator(s)

Peter Agback - Swedish University of Agricultural Sciences, Department of Molecular Sciences orcid

Tatiana Agback - Swedish University of Agricultural Sciences, Department of Molecular Sciences

Dmitry Lesovoy - Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Department of Structural Biology

Xiao Han - Karolinska Institute, Department of Medicine

Alexander Lomzov - Institute of Chemical Biology and Fundamental Medicine SB RAS, Laboratory for Structural Biology

... Show more..

Peter Agback - Swedish University of Agricultural Sciences, Department of Molecular Sciences orcid

Tatiana Agback - Swedish University of Agricultural Sciences, Department of Molecular Sciences

Dmitry Lesovoy - Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Department of Structural Biology

Xiao Han - Karolinska Institute, Department of Medicine

Alexander Lomzov - Institute of Chemical Biology and Fundamental Medicine SB RAS, Laboratory for Structural Biology

Renhua Sun - Karolinska Institute, Department of Medicine

Tatyana Sandalova - Karolinska Institute, Department of Medicine

Vladislav Orekhov - Gothenburg University, Swedish NMR Centre

Adnane Achour - Karolinska Institute, Department of Medicine

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Research principal

Swedish University of Agricultural Sciences - Department of Molecular Sciences rorId

Principal's reference number

SLU.molsci.2023.4.4..IÄ-12

Description

The dengue protease NS2B/NS3pro has been reported to adopt either an ‘open’ or a ‘closed’ conformation. We have developed a conformational filter that combines nuclear magnetic resonance (NMR) with molecular dynamics (MD) simulations to identify conformational ensembles that dominate in solution. Experimental values derived from relaxation parameters for the backbone and methyl side chains were compared with the corresponding back-calculated relaxation parameters of different conformational ensembles obtained from free MD simulations. Our results demonstrate a high prevalence for the ‘closed’ conformational ensemble while the ‘open’ conformation is absent, indicating that the latter conformation is most probably due to crystal contacts. Conversely, conformational ensembles in which the positioning of the co-factor NS2B results in a ‘partially’ open conformation, previously described in both MD simulations and X-ray studies, were identified by our conformational filter. Altogether, we believe that our approach allows for unambiguous identification of true conformational ensembles, an essential

... Show more..
The dengue protease NS2B/NS3pro has been reported to adopt either an ‘open’ or a ‘closed’ conformation. We have developed a conformational filter that combines nuclear magnetic resonance (NMR) with molecular dynamics (MD) simulations to identify conformational ensembles that dominate in solution. Experimental values derived from relaxation parameters for the backbone and methyl side chains were compared with the corresponding back-calculated relaxation parameters of different conformational ensembles obtained from free MD simulations. Our results demonstrate a high prevalence for the ‘closed’ conformational ensemble while the ‘open’ conformation is absent, indicating that the latter conformation is most probably due to crystal contacts. Conversely, conformational ensembles in which the positioning of the co-factor NS2B results in a ‘partially’ open conformation, previously described in both MD simulations and X-ray studies, were identified by our conformational filter. Altogether, we believe that our approach allows for unambiguous identification of true conformational ensembles, an essential step for reliable drug discovery. Show less..

Data contains personal data

No

Language

Method and outcome

Time period(s) investigated

2018-01-01 – 2022-12-31

Data format / data structure

Species and taxons

Dengue virus

Data collection
  • Mode of collection: Experiment
  • Description of the mode of collection: NMR and MD relaxation study of the NS2B/NS3pro protease of Dengue
  • Time period(s) for data collection: 2018 – 2022
  • Data collector: Swedish University of Agricultural Sciences
  • Instrument: NMR spectrometer - 600 and 800MHz spectrometers
  • Sample: NS2B/NS3pro
    protease from Dengue
  • Source of the data: Biological samples
Geographic coverage
Administrative information

Responsible department/unit

Department of Molecular Sciences

Other research principals

Funding 1

  • Funding agency: Swedish Foundation for Strategic Research rorId
  • Funding agency's reference number: ITM17-0218
  • Project name on the application: Innovative experimental modelling of dynamic protein states.

Funding 2

  • Funding agency: Swedish Research Council rorId
  • Funding agency's reference number: 2021-05061

Funding 3

  • Funding agency: Swedish Cancer Society rorId
  • Funding agency's reference number: 21 1605 Pj01H

Funding 4

  • Funding agency: Swedish Research Council rorId
  • Funding agency's reference number: 2019-03561
Topic and keywords

Research area

Bioinformatics (computational biology) (Standard för svensk indelning av forskningsämnen 2011)

Other physics topics (Standard för svensk indelning av forskningsämnen 2011)

Structural biology (Standard för svensk indelning av forskningsämnen 2011)

Publications

Agback, T., Lesovoy, D., Han, X., Lomzov, A., Sun, R., Sandalova, T., Yu, V., Adnane Achour, O., Agback, P. (2023). Combined NMR and molecular dynamics conformational filter identifies unambiguously dynamic ensembles of Dengue protease NS2B/NS3pro. Communications Biology 6:1193.
DOI: https://doi.org/10.1038/s42003-023-05584-6

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Versions

Version 1. 2023-11-29

Version 1: 2023-11-29

DOI: https://doi.org/10.5878/5wea-fk76

Contact for questions about the data

Arkiv SLU

arkiv@slu.se

Published: 2023-11-29