Literature DB >> 11814876

Molecular modelling in structural biology.

Mark J Forster1.   

Abstract

Molecular modelling is a powerful methodology for analysing the three dimensional structure of biological macromolecules. There are many ways in which molecular modelling methods have been used to address problems in structural biology. It is not widely appreciated that modelling methods are often an integral component of structure determination by NMR spectroscopy and X-ray crystallography. In this review we consider some of the numerous ways in which modelling can be used to interpret and rationalise experimental data and in constructing hypotheses that can be tested by experiment. Genome sequencing projects are producing a vast wealth of data describing the protein coding regions of the genome under study. However, only a minority of the protein sequences thus identified will have a clear sequence homology to a known protein. In such cases valuable three-dimensional models of the protein coding sequence can be constructed by homology modelling methods. Threading methods, which used specialised schemes to relate protein sequences to a library of known structures, have been shown to be able to identify the likely protein fold even in cases where there is no clear sequence homology. The number of protein sequences that cannot be assigned to a structural class by homology or threading methods, simply because they belong to a previously unidentified protein folding class, will decrease in the future as collaborative efforts in systematic structure determination begin to develop. For this reason, modelling methods are likely to become increasingly useful in the near future. The role of the blind prediction contests, such as the Critical Assessment of techniques for protein Structure Prediction (CASP), will be briefly discussed. Methods for modelling protein-ligand and protein-protein complexes are also described and examples of their applications given.

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Year:  2002        PMID: 11814876     DOI: 10.1016/s0968-4328(01)00035-x

Source DB:  PubMed          Journal:  Micron        ISSN: 0968-4328            Impact factor:   2.251


  14 in total

1.  Comparative protein structure modeling by iterative alignment, model building and model assessment.

Authors:  Bino John; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

2.  The solid-state architecture of a metallosupramolecular polyelectrolyte.

Authors:  Ute Kolb; Karsten Büscher; Christiane A Helm; Anne Lindner; Andreas F Thünemann; Michael Menzel; Masayoshi Higuchi; Dirk G Kurth
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-26       Impact factor: 11.205

3.  Predicting the mechanical properties of spider silk as a model nanostructured polymer.

Authors:  D Porter; F Vollrath; Z Shao
Journal:  Eur Phys J E Soft Matter       Date:  2005-02-22       Impact factor: 1.890

4.  Three-dimensional structure of the catalytic domain of the yeast beta-(1,3)-glucan transferase Gas1: a molecular modeling investigation.

Authors:  Elena Papaleo; Piercarlo Fantucci; Marina Vai; Luca De Gioia
Journal:  J Mol Model       Date:  2005-10-21       Impact factor: 1.810

5.  Molecular models of protein targets from Mycobacterium tuberculosis.

Authors:  Nelson José Freitas da Silveira; Hugo Brandão Uchôa; José Henrique Pereira; Fernanda Canduri; Luiz Augusto Basso; Mário Sérgio Palma; Diógenes Santiago Santos; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2005-03-10       Impact factor: 1.810

6.  MEK4 function, genistein treatment, and invasion of human prostate cancer cells.

Authors:  Li Xu; Yongzeng Ding; William J Catalona; Ximing J Yang; Wayne F Anderson; Borko Jovanovic; Kenji Wellman; Jaqueline Killmer; Xiaoke Huang; Karl A Scheidt; R Bruce Montgomery; Raymond C Bergan
Journal:  J Natl Cancer Inst       Date:  2009-07-28       Impact factor: 13.506

7.  Molecular dynamics study of 4-OH-phenylacetyl- D-Y(Me)FQNRPR-NH2 selectivity to V1a receptor.

Authors:  Artur Giełdoń; Rajmund Kaźmierkiewicz; Rafał Slusarz; Marta Pasenkiewicz-Gierula; Jerzy Ciarkowski
Journal:  J Mol Model       Date:  2003-10-07       Impact factor: 1.810

Review 8.  Arsenic binding to proteins.

Authors:  Shengwen Shen; Xing-Fang Li; William R Cullen; Michael Weinfeld; X Chris Le
Journal:  Chem Rev       Date:  2013-06-28       Impact factor: 60.622

9.  DBETH: a Database of Bacterial Exotoxins for Human.

Authors:  Abhijit Chakraborty; Sudeshna Ghosh; Garisha Chowdhary; Ujjwal Maulik; Saikat Chakrabarti
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

10.  Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools.

Authors:  Daisuke Kihara; Yifeng David Yang; Troy Hawkins
Journal:  Cancer Inform       Date:  2007-02-07
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