Literature DB >> 26277120

Communication: Quantitative multi-site frequency maps for amide I vibrational spectroscopy.

Mike Reppert1, Andrei Tokmakoff2.   

Abstract

An accurate method for predicting the amide I vibrational spectrum of a given protein structure has been sought for many years. Significant progress has been made recently by sampling structures from molecular dynamics simulations and mapping local electrostatic variables onto the frequencies of individual amide bonds. Agreement with experiment, however, has remained largely qualitative. Previously, we used dipeptide fragments and isotope-labeled constructs of the protein G mimic NuG2b as experimental standards for developing and testing amide I frequency maps. Here, we combine these datasets to test different frequency-map models and develop a novel method to produce an optimized four-site potential (4P) map based on the CHARMM27 force field. Together with a charge correction for glycine residues, the optimized map accurately describes both experimental datasets, with average frequency errors of 2-3 cm(-1). This 4P map is shown to be convertible to a three-site field map which provides equivalent performance, highlighting the viability of both field- and potential-based maps for amide I spectral modeling. The use of multiple sampling points for local electrostatics is found to be essential for accurate map performance.

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Year:  2015        PMID: 26277120     DOI: 10.1063/1.4928637

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  7 in total

Review 1.  Vibrational Spectroscopic Map, Vibrational Spectroscopy, and Intermolecular Interaction.

Authors:  Carlos R Baiz; Bartosz Błasiak; Jens Bredenbeck; Minhaeng Cho; Jun-Ho Choi; Steven A Corcelli; Arend G Dijkstra; Chi-Jui Feng; Sean Garrett-Roe; Nien-Hui Ge; Magnus W D Hanson-Heine; Jonathan D Hirst; Thomas L C Jansen; Kijeong Kwac; Kevin J Kubarych; Casey H Londergan; Hiroaki Maekawa; Mike Reppert; Shinji Saito; Santanu Roy; James L Skinner; Gerhard Stock; John E Straub; Megan C Thielges; Keisuke Tominaga; Andrei Tokmakoff; Hajime Torii; Lu Wang; Lauren J Webb; Martin T Zanni
Journal:  Chem Rev       Date:  2020-06-29       Impact factor: 60.622

2.  Refining Disordered Peptide Ensembles with Computational Amide I Spectroscopy: Application to Elastin-Like Peptides.

Authors:  Mike Reppert; Anish R Roy; Jeremy O B Tempkin; Aaron R Dinner; Andrei Tokmakoff
Journal:  J Phys Chem B       Date:  2016-10-27       Impact factor: 2.991

3.  Refinement of Peptide Conformational Ensembles by 2D IR Spectroscopy: Application to Ala‒Ala‒Ala.

Authors:  Chi-Jui Feng; Balamurugan Dhayalan; Andrei Tokmakoff
Journal:  Biophys J       Date:  2018-06-19       Impact factor: 4.033

4.  The dynamics of peptide-water interactions in dialanine: An ultrafast amide I 2D IR and computational spectroscopy study.

Authors:  Chi-Jui Feng; Andrei Tokmakoff
Journal:  J Chem Phys       Date:  2017-08-28       Impact factor: 3.488

5.  Insulin Dissociates by Diverse Mechanisms of Coupled Unfolding and Unbinding.

Authors:  Adam Antoszewski; Chi-Jui Feng; Bodhi P Vani; Erik H Thiede; Lu Hong; Jonathan Weare; Andrei Tokmakoff; Aaron R Dinner
Journal:  J Phys Chem B       Date:  2020-06-25       Impact factor: 2.991

6.  Computational IR Spectroscopy of Insulin Dimer Structure and Conformational Heterogeneity.

Authors:  Chi-Jui Feng; Anton Sinitskiy; Vijay Pande; Andrei Tokmakoff
Journal:  J Phys Chem B       Date:  2021-04-30       Impact factor: 2.991

7.  Interplay between Hydrogen Bonding and Vibrational Coupling in Liquid N-Methylacetamide.

Authors:  Ana V Cunha; Evgeniia Salamatova; Robbert Bloem; Steven J Roeters; Sander Woutersen; Maxim S Pshenichnikov; Thomas L C Jansen
Journal:  J Phys Chem Lett       Date:  2017-05-19       Impact factor: 6.475

  7 in total

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