Testing similarity measures with continuous and discrete protein models
(2003) In Proteins 50(1). p.144-157- Abstract
- There are many ways to define the distance between two protein structures, thus assessing their similarity. Here, we investigate and compare the properties of five different distance measures, including the standard root-mean-square deviation (cRMSD). The performance of these measures is studied from different perspectives with two different protein models, one continuous and the other discrete. Using the continuous model, we examine the correlation between energy and native distance, and the ability of the different measures to discriminate between the two possible topologies of a three-helix bundle. Using the discrete model, we perform fits to real protein structures by minimizing different distance measures. The properties of the fitted... (More)
- There are many ways to define the distance between two protein structures, thus assessing their similarity. Here, we investigate and compare the properties of five different distance measures, including the standard root-mean-square deviation (cRMSD). The performance of these measures is studied from different perspectives with two different protein models, one continuous and the other discrete. Using the continuous model, we examine the correlation between energy and native distance, and the ability of the different measures to discriminate between the two possible topologies of a three-helix bundle. Using the discrete model, we perform fits to real protein structures by minimizing different distance measures. The properties of the fitted structures are found to depend strongly on the distance measure used and the scale considered. We find that the cRMSD measure very effectively describes long-range features but is less effective with short-range features, and it correlates weakly with energy. A stronger correlation with energy and a better description of short-range properties is obtained, when we use measures based on intramolecular distances. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/320102
- author
- Wallin, Stefan LU ; Farwer, J and Bastolla, U
- organization
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- protein structure comparison, protein folding, distance measure, root-mean-square deviation
- in
- Proteins
- volume
- 50
- issue
- 1
- pages
- 144 - 157
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:12471607
- wos:000180131100014
- scopus:0037233516
- ISSN
- 0887-3585
- DOI
- 10.1002/prot.10271
- language
- English
- LU publication?
- yes
- id
- a159d4d0-8f7d-402a-b034-10fb18507d51 (old id 320102)
- date added to LUP
- 2016-04-01 15:37:29
- date last changed
- 2022-12-12 05:19:17
@article{a159d4d0-8f7d-402a-b034-10fb18507d51,
abstract = {{There are many ways to define the distance between two protein structures, thus assessing their similarity. Here, we investigate and compare the properties of five different distance measures, including the standard root-mean-square deviation (cRMSD). The performance of these measures is studied from different perspectives with two different protein models, one continuous and the other discrete. Using the continuous model, we examine the correlation between energy and native distance, and the ability of the different measures to discriminate between the two possible topologies of a three-helix bundle. Using the discrete model, we perform fits to real protein structures by minimizing different distance measures. The properties of the fitted structures are found to depend strongly on the distance measure used and the scale considered. We find that the cRMSD measure very effectively describes long-range features but is less effective with short-range features, and it correlates weakly with energy. A stronger correlation with energy and a better description of short-range properties is obtained, when we use measures based on intramolecular distances.}},
author = {{Wallin, Stefan and Farwer, J and Bastolla, U}},
issn = {{0887-3585}},
keywords = {{protein structure comparison; protein folding; distance measure; root-mean-square deviation}},
language = {{eng}},
number = {{1}},
pages = {{144--157}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Proteins}},
title = {{Testing similarity measures with continuous and discrete protein models}},
url = {{http://dx.doi.org/10.1002/prot.10271}},
doi = {{10.1002/prot.10271}},
volume = {{50}},
year = {{2003}},
}