Evidence map›Paper›PMID 29399725›Full record

ArticleJournal of biomolecular NMR2018

POTENCI: prediction of temperature, neighbor and pH-corrected chemical shifts for intrinsically disordered proteins.

Jakob Toudahl Nielsen, Frans A A Mulder

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Article in Journal of biomolecular NMR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

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88citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

  1. Article
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  6. Review
  7. Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Biomolecular NMR assignments · 2025
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  14. Calcium binding by γ-carboxyglutamic acid: it takes two to tether.Research and practice in thrombosis and haemostasis · 2025
    Article
  15. Assignment of the N-terminal domain of mouse cGAS.Biomolecular NMR assignments · 2025
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Jakob Toudahl NielsenInterdisciplinary Nanoscience Center (iNANO), Aarhus University, Gustav Wieds Vej 14, 8000, Aarhus C, Denmark. jtn@inano.au.dk.
Frans A A MulderInterdisciplinary Nanoscience Center (iNANO), Aarhus University, Gustav Wieds Vej 14, 8000, Aarhus C, Denmark. fmulder@chem.au.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical shifts contain important site-specific information on the structure and dynamics of proteins. Deviations from statistical average values, known as random coil chemical shifts (RCCSs), are extensively used to infer these relationships. Unfortunately, the use of imprecise reference RCCSs leads to biased inference and obstructs the detection of subtle structural features. Here we present a new method, POTENCI, for the prediction of RCCSs that outperforms the currently most authoritative methods. POTENCI is parametrized using a large curated database of chemical shifts for protein segments with validated disorder; It takes pH and temperature explicitly into account, and includes sequence-dependent nearest and next-nearest neighbor corrections as well as second-order corrections. RCCS predictions with POTENCI show root-mean-square values that are lower by 25-78%, with the largest improvements observed for

Indexed as

SoftwareAmino Acid SequenceDatabases, FactualHydrogen-Ion ConcentrationIntrinsically Disordered ProteinsNuclear Magnetic Resonance, BiomolecularProtein Structure, SecondaryTemperatureIntrinsically Disordered ProteinsChemical shiftIntrinsically disordered proteinsRandom coilSoftware

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.