---
OA_place: repository
_id: '22687'
abstract:
- lang: eng
  text: "Understanding enzyme function requires characterizing not only static structure
    but also dynamics and ligand interactions. NMR spectroscopy provides this insight
    at atomic resolution, yet for large proteins the difficulty of resonance assignment
    has largely confined such studies to systems below ∼50 kDa, or to observing only
    methyl groups. Here we present an integrated magic-angle spinning (MAS) and solution
    NMR study of the 134 kDa tetrameric malate dehydrogenase from Ignicoccus islandicus
    (IiMDH), an enzyme of particular interest as an evolutionary intermediate between
    allosteric lactate\r\ndehydrogenases and non-allosteric malate dehydrogenases.
    By combining high-dimensional (up to 4D) MAS NMR experiments on sedimented protein
    with solution NMR, we achieved 92% backbone heavy- atom assignment and 91% assignment
    of all Ile-δ1, Leu-δ1/-δ2, Val-γ1/-γ2, Met-ε and Thr-γ methyl groups. Building
    on these assignments, we use various probes of backbone and sidechain dynamics:
    elevated MAS NMR 15N rotating-frame relaxation (R1ρ) points to microsecond motions
    in functionally critical regions, including the catalytic loop and the mobile
    surface loop. Complementary methyl-axis order parameters from solution NMR identified
    additional flexible sites in the hydrophobic core. Chemical shift perturbation
    experiments upon addition of the substrate analogue oxamate, monitored via backbone
    1H-15N TROSY, revealed both active-site contacts and responses in helices α2F
    and α3G, regions implicated in allosteric signal transmission. The integrated
    approach demonstrated here exploits the distinct strengths of MAS and solution
    NMR, and provides a comprehensive view of structure, dynamics, and substrate interactions
    in a large oligomeric enzyme that would not be accessible by either technique
    alone."
acknowledged_ssus:
- _id: NMR
- _id: LifeSc
acknowledgement: This research was supported by the Scientific Service Units (SSU)
  of Institute of Science and Technology Austria (ISTA) through resources provided
  by the Nuclear Magnetic Resonance and the Lab Support Facilities. We thank Petra
  Rovó, Megha Mohan and Margarita Valhondo Falcón for excellent support of the NMR
  facility.
article_processing_charge: No
author:
- first_name: Paul
  full_name: Schanda, Paul
  id: 7B541462-FAF6-11E9-A490-E8DFE5697425
  last_name: Schanda
  orcid: 0000-0002-9350-7606
- first_name: Federico
  full_name: Napoli, Federico
  id: d42e08e7-f4fc-11eb-af0a-d71e26138f1b
  last_name: Napoli
  orcid: 0000-0002-9043-136X
citation:
  ama: 'Schanda P, Napoli F. Data and scripts for: “Integrated solid/solution NMR
    assignment allows mapping dynamics and ligand binding in a 134 kDa enzyme.” 2026.
    doi:<a href="https://doi.org/10.15479/AT-ISTA-22687">10.15479/AT-ISTA-22687</a>'
  apa: 'Schanda, P., &#38; Napoli, F. (2026). Data and scripts for: “Integrated solid/solution
    NMR assignment allows mapping dynamics and ligand binding in a 134 kDa enzyme.”
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-22687">https://doi.org/10.15479/AT-ISTA-22687</a>'
  chicago: 'Schanda, Paul, and Federico Napoli. “Data and Scripts for: ‘Integrated
    Solid/Solution NMR Assignment Allows Mapping Dynamics and Ligand Binding in a
    134 KDa Enzyme.’” Institute of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-22687">https://doi.org/10.15479/AT-ISTA-22687</a>.'
  ieee: 'P. Schanda and F. Napoli, “Data and scripts for: ‘Integrated solid/solution
    NMR assignment allows mapping dynamics and ligand binding in a 134 kDa enzyme.’”
    Institute of Science and Technology Austria, 2026.'
  ista: 'Schanda P, Napoli F. 2026. Data and scripts for: ‘Integrated solid/solution
    NMR assignment allows mapping dynamics and ligand binding in a 134 kDa enzyme’,
    Institute of Science and Technology Austria, <a href="https://doi.org/10.15479/AT-ISTA-22687">10.15479/AT-ISTA-22687</a>.'
  mla: 'Schanda, Paul, and Federico Napoli. <i>Data and Scripts for: “Integrated Solid/Solution
    NMR Assignment Allows Mapping Dynamics and Ligand Binding in a 134 KDa Enzyme.”</i>
    Institute of Science and Technology Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-22687">10.15479/AT-ISTA-22687</a>.'
  short: P. Schanda, F. Napoli, (2026).
contributor:
- contributor_type: researcher
  first_name: Federico
  id: d42e08e7-f4fc-11eb-af0a-d71e26138f1b
  last_name: Napoli
  orcid: 0000-0002-9043-136X
- contributor_type: project_leader
  first_name: Paul
  id: 7B541462-FAF6-11E9-A490-E8DFE5697425
  last_name: Schanda
  orcid: 0000-0002-9350-7606
- contributor_type: project_member
  first_name: Rajkumar
  id: a3089acd-6806-11ee-bacc-f0c7d500ad20
  last_name: Singh
- contributor_type: project_member
  first_name: Anna
  id: 9fb2a840-89e1-11ee-a8b7-cc5c7ba62471
  last_name: Kapitonova
- contributor_type: project_member
  first_name: Virgil
  last_name: Aitenbichler
- contributor_type: project_member
  first_name: Giorgia
  id: 334a5e40-8747-11f0-b671-ba1f5154b4b4
  last_name: Toscano
- contributor_type: data_collector
  first_name: Barbara
  last_name: Perrone
corr_author: '1'
date_created: 2026-08-12T16:12:19Z
date_published: 2026-08-20T00:00:00Z
date_updated: 2026-08-20T07:40:15Z
day: '20'
department:
- _id: PaSc
doi: 10.15479/AT-ISTA-22687
doi_confirm: '1'
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fulldoi: https://doi.org/10.15479/AT-ISTA-22687
has_accepted_license: '1'
month: '08'
oa: 1
oa_version: None
project:
- _id: eb9c82eb-77a9-11ec-83b8-aadd536561cf
  grant_number: I05812
  name: AlloSpace. The emergence and mechanisms of allostery
publisher: Institute of Science and Technology Austria
status: public
title: 'Data and scripts for: "Integrated solid/solution NMR assignment allows mapping
  dynamics and ligand binding in a 134 kDa enzyme"'
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: research_data
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
year: '2026'
...
