Protein structure alignment using mean field annealing
(2004) WSEAS International Conference on Mathematical Biology and Ecology- Abstract
- Unraveling functional and ancestral relationships between proteins as well as structure prediction procedures require powerful protein alignment methods. This paper describes the use of fuzzy alignments when matching protein structures. The method use mean-field annealing optimization of fuzzy alignment variables, based on a cost expressed in terms of distances between aligned atoms and of gaps. The approach performs well when compared to other methods, requires modest CPU consumption, and is robust with respect to choice of iteration parameters for a wide range of proteins.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/796233
- author
- Ohlsson, Mattias LU
- organization
- publishing date
- 2004
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- WSEAS International Conference on Mathematical Biology and Ecology
- conference location
- Corfu, Greece
- conference dates
- 2004-08-17 - 2004-08-19
- language
- English
- LU publication?
- yes
- id
- 818c5874-cbd6-485a-8261-75b299bc29c6 (old id 796233)
- date added to LUP
- 2016-04-04 13:33:37
- date last changed
- 2018-11-21 21:14:48
@misc{818c5874-cbd6-485a-8261-75b299bc29c6, abstract = {{Unraveling functional and ancestral relationships between proteins as well as structure prediction procedures require powerful protein alignment methods. This paper describes the use of fuzzy alignments when matching protein structures. The method use mean-field annealing optimization of fuzzy alignment variables, based on a cost expressed in terms of distances between aligned atoms and of gaps. The approach performs well when compared to other methods, requires modest CPU consumption, and is robust with respect to choice of iteration parameters for a wide range of proteins.}}, author = {{Ohlsson, Mattias}}, language = {{eng}}, title = {{Protein structure alignment using mean field annealing}}, year = {{2004}}, }