Literature DB >> 16235263

An intuitive approach to measuring protein surface curvature.

Ryan G Coleman1, Michael A Burr, Diane L Souvaine, Alan C Cheng.   

Abstract

A natural way to measure protein surface curvature is to generate the least squares fitted (LSF) sphere to a surface patch and use the radius as the curvature measure. While the concept is simple, the sphere-fitting problem is not trivial and known means of protein surface curvature measurement use alternative schemes that are arguably less straightforward to interpret. We have developed an approach to solve the LSF sphere problem by turning the sphere-fitting problem into a solvable plane-fitting problem using a transformation known as geometric inversion. The approach works on any arbitrary surface patch, and returns a radius of curvature that has direct physical interpretation. Additionally, it is flexible in its ability to find the curvature of an arbitrary surface patch, and the "resolution" can be adjusted to highlight atomic features or larger features such as peptide binding sites. We include examples of applying the method to visualization of peptide recognition pockets and protein conformational change, as well as a comparison with a commonly used solid-angle curvature method showing that the LSF method produces more pronounced curvature results. Proteins 2005. 2005 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2005        PMID: 16235263     DOI: 10.1002/prot.20680

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Mechanical Unfolding of Spectrin Repeats Induces Water-Molecule Ordering.

Authors:  Sarah J Moe; Alessandro Cembran
Journal:  Biophys J       Date:  2020-01-16       Impact factor: 4.033

2.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

3.  Impact of point mutation P29S in RAC1 on tumorigenesis.

Authors:  Vidya Rajendran; Chandrasekhar Gopalakrishnan; Rituraj Purohit
Journal:  Tumour Biol       Date:  2016-10-03

4.  Multi-scale surface descriptors.

Authors:  Gregory Cipriano; George N Phillips; Michael Gleicher
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

5.  Extracellular sheets and tunnels modulate glutamate diffusion in hippocampal neuropil.

Authors:  Justin P Kinney; Josef Spacek; Thomas M Bartol; Chandrajit L Bajaj; Kristen M Harris; Terrence J Sejnowski
Journal:  J Comp Neurol       Date:  2013-02-01       Impact factor: 3.215

6.  Algorithmic approaches to protein-protein interaction site prediction.

Authors:  Tristan T Aumentado-Armstrong; Bogdan Istrate; Robert A Murgita
Journal:  Algorithms Mol Biol       Date:  2015-02-15       Impact factor: 1.405

7.  A multidimensional strategy to detect polypharmacological targets in the absence of structural and sequence homology.

Authors:  Jacob D Durrant; Rommie E Amaro; Lei Xie; Michael D Urbaniak; Michael A J Ferguson; Antti Haapalainen; Zhijun Chen; Anne Marie Di Guilmi; Frank Wunder; Philip E Bourne; J Andrew McCammon
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

8.  A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand binding sites.

Authors:  Lei Xie; Philip E Bourne
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

9.  Fast dynamics perturbation analysis for prediction of protein functional sites.

Authors:  Dengming Ming; Judith D Cohn; Michael E Wall
Journal:  BMC Struct Biol       Date:  2008-01-30

10.  Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor.

Authors:  Calem J Bendell; Shalon Liu; Tristan Aumentado-Armstrong; Bogdan Istrate; Paul T Cernek; Samuel Khan; Sergiu Picioreanu; Michael Zhao; Robert A Murgita
Journal:  BMC Bioinformatics       Date:  2014-03-24       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.