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Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2788996466

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields

About this item

Full title

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

This review article provides an overview of structurally oriented, experimental datasets that can be used to benchmark protein force fields, focusing on data generated by nuclear magnetic resonance (NMR) spectroscopy and room temperature (RT) protein crystallography. We discuss why these observables are useful for assessing force field accuracy, ho...

Alternative Titles

Full title

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2788996466

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2788996466

Other Identifiers

E-ISSN

2331-8422

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