Literature DB >> 8902354

HBexplore--a new tool for identifying and analysing hydrogen bonding patterns in biological macromolecules.

K Lindauer1, C Bendic, J Sühnel.   

Abstract

The program HBexplore is a new tool for identifying and analysing H-bonding patterns in biological macromolecules. It selects all potential H-bonds according to geometrical criteria. The H-bond table can then be subjected to further automatic or interactive analysis tools. These tools include the calculation of mean values and distributions of geometrical H-bond parameters for parts of a single structure, for complete single structures and for structure sets, the classification of each H-bond according to the participation of backbone, side chain or base, ligand and water parts of nucleic acids or proteins, identification of Watson-Crick nucleotide pairs and of H-bonded pairs of equal nucleotides, the calculation of the mean number of H-bonds per residue, and of the fraction of potential donor and acceptor atoms involved in H-bonds. HBexplore further generates automatically a H-bond residue interaction table. This table lists for all residues of the structure the other residues, ligands or water molecules directly connected via a H-bond. By means of a binary tree search algorithm, this table is then converted into a H-bond cluster table. Clusters are understood here as an uninterrupted network of H-bonded residues. For nucleic acids, secondary structures and tertiary interactions are automatically derived from the H-bonding pattern. HBexplore is applied to two example RNA structures: a pseudoknot and a hairpin. It provides a comprehensive listing of individual H-bonds and statistical information for larger structure sets. In addition, it can identify interesting new H-bond motifs. One example is a pentanucleotide base-base H-bond interaction motif in the RNA pseudoknot. HBexplore is intended to contribute both to the elucidation of general principles of the architecture of biological macromolecules, and to the prediction and refinement of single structures.

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Year:  1996        PMID: 8902354     DOI: 10.1093/bioinformatics/12.4.281

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  11 in total

1.  RNA canonical and non-canonical base pairing types: a recognition method and complete repertoire.

Authors:  Sébastien Lemieux; François Major
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

2.  RNA unrestrained molecular dynamics ensemble improves agreement with experimental NMR data compared to single static structure: a test case.

Authors:  Robert A Beckman; David Moreland; Shirley Louise-May; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2006-09-28       Impact factor: 3.686

3.  Frequent side chain methyl carbon-oxygen hydrogen bonding in proteins revealed by computational and stereochemical analysis of neutron structures.

Authors:  Joseph D Yesselman; Scott Horowitz; Charles L Brooks; Raymond C Trievel
Journal:  Proteins       Date:  2015-01-21

4.  MPlot--a server to analyze and visualize tertiary structure contacts and geometrical features of helical membrane proteins.

Authors:  Alexander Rose; Andrean Goede; Peter W Hildebrand
Journal:  Nucleic Acids Res       Date:  2010-05-19       Impact factor: 16.971

5.  Hydrogen-bonding and packing features of membrane proteins: functional implications.

Authors:  Peter Werner Hildebrand; Stefan Günther; Andrean Goede; Lucy Forrest; Cornelius Frömmel; Robert Preissner
Journal:  Biophys J       Date:  2007-10-05       Impact factor: 4.033

6.  Analysis of structural water and CH···π interactions in HIV-1 protease and PTP1B complexes using a hydrogen bond prediction tool, HBPredicT.

Authors:  Joshy P Yesudas; Fareed Bhasha Sayyed; Cherumuttathu H Suresh
Journal:  J Mol Model       Date:  2010-05-19       Impact factor: 1.810

7.  Graphlet signature-based scoring method to estimate protein-ligand binding affinity.

Authors:  Omkar Singh; Kunal Sawariya; Polamarasetty Aparoy
Journal:  R Soc Open Sci       Date:  2014-12-10       Impact factor: 2.963

8.  Hydrogen bonding and packing density are factors most strongly connected to limiting sites of high flexibility in the 16S rRNA in the 30S ribosome.

Authors:  Wayne Huggins; Sujit K Ghosh; Paul Wollenzien
Journal:  BMC Struct Biol       Date:  2009-07-30

9.  Versatility and invariance in the evolution of homologous heteromeric interfaces.

Authors:  Jessica Andreani; Guilhem Faure; Raphaël Guerois
Journal:  PLoS Comput Biol       Date:  2012-08-30       Impact factor: 4.475

10.  HBNG: Graph theory based visualization of hydrogen bond networks in protein structures.

Authors:  Abhishek Tiwari; Vivek Tiwari
Journal:  Bioinformation       Date:  2007-07-09
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