Literature DB >> 19242963

Extensive conformational searches of 13 representative dipeptides and an efficient method for dipeptide structure determinations based on amino acid conformers.

Wenbo Yu1, Xuee Xu, Hongbao Li, Rui Pang, Kun Fang, Zijing Lin.   

Abstract

Conformations of peptides are the basis for their property studies and the predictions of peptide structures are highly important in life science but very complex in practice. Here, thorough searches on the potential energy surfaces of 13 representative dipeptides by considering all possible combinations of the bond rotational degrees of freedom are performed using the density functional theory based methods. Careful analyses of the conformers of the 13 dipeptides and the corresponding amino acids reveal the connections between the structures of dipeptide and amino acids. A method for finding all important dipeptide conformers by optimizing a small number of trial structures generated by suitable superposition of the parent amino acid conformations is thus proposed. Applying the method to another eight dipeptides carefully examined by others shows that the new approach is both highly efficient and reliable by providing the most complete ensembles of dipeptide conformers and much improved agreements between the theoretical and experimental IR spectra. The method opens the door for the determination of the stable structures of all dipeptides with a manageable amount of effort. Preliminary result on the applicability of the method to the tripeptide structure determination is also presented. The results are the first step towards proving Anfinsen's hypothesis by revealing the relationships between the structures of the simplest peptide and its constituting amino acids. It implies that the structures of peptides are not only determined by their amino acid sequences, but also closely linked with the amino acid conformations. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19242963     DOI: 10.1002/jcc.21211

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


  4 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

  4 in total

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