Literature DB >> 10736782

Rotational superposition: a review of methods.

D R Flower1.   

Abstract

Rotational superposition is one of the most commonly used algorithms in molecular modelling. Many different methods of solving superposition have been suggested. Of these, methods based on the quaternion parameterization of rotation are fast, accurate, and robust. Quaternion parameterization-based methods cannot result in rotation inversion and do not have special cases such as co-linearity or co-planarity of points. Thus, quaternion parameterization-based methods are the best choice for rotational superposition applications.

Mesh:

Year:  1999        PMID: 10736782

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  12 in total

1.  ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

Authors:  Markus H J Seifert; Frank Schmitt; Thomas Herz; Bernd Kramer
Journal:  J Mol Model       Date:  2004-10-08       Impact factor: 1.810

2.  THESEUS: maximum likelihood superpositioning and analysis of macromolecular structures.

Authors:  Douglas L Theobald; Deborah S Wuttke
Journal:  Bioinformatics       Date:  2006-06-15       Impact factor: 6.937

3.  Gaussian-weighted RMSD superposition of proteins: a structural comparison for flexible proteins and predicted protein structures.

Authors:  Kelly L Damm; Heather A Carlson
Journal:  Biophys J       Date:  2006-03-24       Impact factor: 4.033

4.  Optimal superpositioning of flexible molecule ensembles.

Authors:  Vytautas Gapsys; Bert L de Groot
Journal:  Biophys J       Date:  2013-01-08       Impact factor: 4.033

5.  Optimal simultaneous superpositioning of multiple structures with missing data.

Authors:  Douglas L Theobald; Phillip A Steindel
Journal:  Bioinformatics       Date:  2012-04-27       Impact factor: 6.937

6.  Robust probabilistic superposition and comparison of protein structures.

Authors:  Martin Mechelke; Michael Habeck
Journal:  BMC Bioinformatics       Date:  2010-07-01       Impact factor: 3.169

7.  Mining the protein data bank to differentiate error from structural variation in clustered static structures: an examination of HIV protease.

Authors:  Balasubramanian Venkatakrishnan; Miorel-Lucian Palii; Mavis Agbandje-McKenna; Robert McKenna
Journal:  Viruses       Date:  2012-03-05       Impact factor: 5.048

8.  Accurate structural correlations from maximum likelihood superpositions.

Authors:  Douglas L Theobald; Deborah S Wuttke
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

9.  Polymer uncrossing and knotting in protein folding, and their role in minimal folding pathways.

Authors:  Ali R Mohazab; Steven S Plotkin
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

10.  Using least median of squares for structural superposition of flexible proteins.

Authors:  Yu-Shen Liu; Yi Fang; Karthik Ramani
Journal:  BMC Bioinformatics       Date:  2009-01-22       Impact factor: 3.169

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