Literature DB >> 15827080

Three-dimensional computation of atom depth in complex molecular structures.

Daniele Varrazzo1, Andrea Bernini, Ottavia Spiga, Arianna Ciutti, Stefano Chiellini, Vincenzo Venditti, Luisa Bracci, Neri Niccolai.   

Abstract

MOTIVATION: For a complex molecular system the delineation of atom-atom contacts, exposed surface and binding sites represents a fundamental step to predict its interaction with solvent, ligands and other molecules. Recently, atom depth has been also considered as an additional structural descriptor to correlate protein structure with folding and functional properties. The distance between an atom and the nearest water molecule or the closest surface dot has been proposed as a measure of the atom depth, but, in both cases, the 3D character of depth is largely lost. In the present study, a new approach is proposed to calculate atom depths in a way that the molecular shape can be taken into account.
RESULTS: An algorithm has been developed to calculate intersections between the molecular volume and spheres centered on the atoms whose depth has to be quantified. Many proteins with different size and shape have been chosen to compare the results obtained from distance-based and volume-based depth calculations. From the wealth of experimental data available for hen egg white lysozyme, H/D exchange rates and TEMPOL induced paramagnetic perturbations have been analyzed both in terms of depth indexes and of atom distances to the solvent accessible surface. The algorithm here proposed yields better correlations between experimental data and atom depth, particularly for those atoms which are located near to the protein surface. AVAILABILITY: Instructions to obtain source code and the executable program are available either from http://sienabiografix.com or http://sadic.sourceforge.net CONTACT: niccolai@unisi.it SUPPLEMENTARY INFORMATION: http://www.Sienabiogzefix.com/publication.

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Year:  2005        PMID: 15827080     DOI: 10.1093/bioinformatics/bti444

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  16 in total

1.  Cosolute paramagnetic relaxation enhancements detect transient conformations of human uracil DNA glycosylase (hUNG).

Authors:  Yan Sun; Joshua I Friedman; James T Stivers
Journal:  Biochemistry       Date:  2011-11-15       Impact factor: 3.162

2.  Enzymatic excision of uracil residues in nucleosomes depends on the local DNA structure and dynamics.

Authors:  Yu Ye; Mary R Stahley; Jianqing Xu; Joshua I Friedman; Yan Sun; Jeffrey N McKnight; Jeffrey J Gray; Gregory D Bowman; James T Stivers
Journal:  Biochemistry       Date:  2012-07-23       Impact factor: 3.162

Review 3.  The importance of discerning shape in molecular pharmacology.

Authors:  Sandhya Kortagere; Matthew D Krasowski; Sean Ekins
Journal:  Trends Pharmacol Sci       Date:  2009-01-31       Impact factor: 14.819

4.  Shape and evolution of thermostable protein structure.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  Proteins       Date:  2010-02-01

5.  Concentration of specific amino acids at the catalytic/active centers of highly-conserved "housekeeping" enzymes of central metabolism in archaea, bacteria and Eukaryota: is there a widely conserved chemical signal of prebiotic assembly?

Authors:  J Dennis Pollack; Xueliang Pan; Dennis K Pearl
Journal:  Orig Life Evol Biosph       Date:  2010-01-13       Impact factor: 1.950

6.  Guanidinoneomycin B recognition of an HIV-1 RNA helix.

Authors:  David W Staple; Vincenzo Venditti; Neri Niccolai; Lev Elson-Schwab; Yitzhak Tor; Samuel E Butcher
Journal:  Chembiochem       Date:  2008-01-04       Impact factor: 3.164

7.  NMR studies on structure and dynamics of the monomeric derivative of BS-RNase: new insights for 3D domain swapping.

Authors:  Roberta Spadaccini; Carmine Ercole; Maria A Gentile; Domenico Sanfelice; Rolf Boelens; Rainer Wechselberger; Gyula Batta; Andrea Bernini; Neri Niccolai; Delia Picone
Journal:  PLoS One       Date:  2012-01-12       Impact factor: 3.240

8.  Sequence based residue depth prediction using evolutionary information and predicted secondary structure.

Authors:  Hua Zhang; Tuo Zhang; Ke Chen; Shiyi Shen; Jishou Ruan; Lukasz Kurgan
Journal:  BMC Bioinformatics       Date:  2008-09-20       Impact factor: 3.169

9.  Prodepth: predict residue depth by support vector regression approach from protein sequences only.

Authors:  Jiangning Song; Hao Tan; Khalid Mahmood; Ruby H P Law; Ashley M Buckle; Geoffrey I Webb; Tatsuya Akutsu; James C Whisstock
Journal:  PLoS One       Date:  2009-09-17       Impact factor: 3.240

10.  Adepth: New Representation and its implications for atomic depths of macromolecules.

Authors:  Shu-wen W Chen; Jean-Luc Pellequer
Journal:  Nucleic Acids Res       Date:  2013-04-22       Impact factor: 16.971

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