Literature DB >> 17631648

Conformational analysis of arginine in gas phase--a strategy for scanning the potential energy surface effectively.

Sebastian Schlund1, Robert Müller, Carsten Grassmann, Bernd Engels.   

Abstract

The determination of all possible low-lying energy conformers of flexible molecules is of fundamental interest for various applications. It necessitates a reliable conformational search that is able to detect all important minimum structures and calculates the energies on an adequate level of theory. This work presents a strategy to identify low-energy conformers using arginine as an example by means of a force-field based conformational search in combination with high-level geometry optimizations (RI-MP2/TZVPP+). The methods used for various stages in the conformational search strategy are shown and various pitfalls are discussed. We can show that electronic energies calculated on a DFT level of theory with standard exchange-correlation functionals strongly underestimate the intramolecular stabilization resulting from stacked orientations of the guanidine and carbonyl moiety of arginine due to the deficiency of DFT to describe dispersion effects. In this case by usage of electron correlation methods, low energy conformers comprising stacked arrangements that are counterintuitive become favorable. (c) 2007 Wiley Periodicals, Inc.

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Year:  2008        PMID: 17631648     DOI: 10.1002/jcc.20798

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  5 in total

1.  Comprehensive conformational studies of five tripeptides and a deduced method for efficient determinations of peptide structures.

Authors:  Wenbo Yu; Zhiqing Wu; Huibin Chen; Xu Liu; Alexander D MacKerell; Zijing Lin
Journal:  J Phys Chem B       Date:  2012-02-10       Impact factor: 2.991

2.  Better force fields start with better data: A data set of cation dipeptide interactions.

Authors:  Xiaojuan Hu; Maja-Olivia Lenz-Himmer; Carsten Baldauf
Journal:  Sci Data       Date:  2022-06-17       Impact factor: 8.501

3.  First-principles data set of 45,892 isolated and cation-coordinated conformers of 20 proteinogenic amino acids.

Authors:  Matti Ropo; Markus Schneider; Carsten Baldauf; Volker Blum
Journal:  Sci Data       Date:  2016-02-16       Impact factor: 6.444

4.  A random forest learning assisted "divide and conquer" approach for peptide conformation search.

Authors:  Xin Chen; Bing Yang; Zijing Lin
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

5.  TorsiFlex: an automatic generator of torsional conformers. Application to the twenty proteinogenic amino acids.

Authors:  David Ferro-Costas; Irea Mosquera-Lois; Antonio Fernández-Ramos
Journal:  J Cheminform       Date:  2021-12-24       Impact factor: 8.489

  5 in total

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