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DL_ANALYSER Notation for Atomic Interactions (DANAI): A Natural Annotation System for Molecular Interactions, Using Ethanoic Acid Liquid as a Test Case.
Yong, Chin W; Todorov, Ilian T.
Afiliação
  • Yong CW; Scientific Computing Department, Science and Technology Facilities Council, Daresbury Laboratory, Sci-Tech Daresbury, Warrington WA4 4AD, UK. chin.yong@stfc.ac.uk.
  • Todorov IT; Manchester Pharmacy School, Faculty of Medical and Human Sciences, University of Manchester, Manchester M13 9NT, UK. chin.yong@stfc.ac.uk.
Molecules ; 23(1)2017 Dec 24.
Article em En | MEDLINE | ID: mdl-29295538
The DL_ANALYSER Notation for Atomic Interactions, DANAI, is the notation syntax to describe interactions between molecules. This notation can annotate precisely the detailed atomistic interactions without having to resolve to diagrammatic illustrations, and yet can be interpreted easily by both human users and computational means. By making use of the DL_F Notation, a universal atom typing scheme for molecular simulations, DANAI contains the expression of atomic species in a natural chemical sense. It is implemented within DL_ANALYSER, a general analysis software program for DL_POLY molecular dynamics simulation software. By making references to the molecular dynamics simulations of pure ethanoic acid liquid, it is shown that DL_ANALYSER can identify and distinguish a variety of hydrogen bond and hydrophobic contact networks through the use of the DANAI expression. It was found that the carboxylic groups preferentially orientated in a "head-to-tail" conformation to form hydrogen bonds between the carbonyl oxygen and hydroxyl hydrogen, resulting in a series of linear structures that intertwined with pockets of methyl clusters.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ácidos Carboxílicos Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ácidos Carboxílicos Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article