Threading with environment-specific score by artificial neural networks
Article
Mitchell, I., Jiang, N. and Wu, W. 2006. Threading with environment-specific score by artificial neural networks. Soft Computing. 10 (4), pp. 305-314. https://doi.org/10.1007/s00500-005-0488-6
Type | Article |
---|---|
Title | Threading with environment-specific score by artificial neural networks |
Authors | Mitchell, I., Jiang, N. and Wu, W. |
Abstract | In this paper, a model named threading with environment-specific score (TES) is proposed to build a new threading score function with the use of artificial neural networks. It is demonstrated that the TES model can outperform a number of other models (e.g. those of residue contact potentials) which have the same level structure environment description. It is also simpler, which offers the potential for faster operation and hence has the potential to speed up searches for protein sequences with unknown structure and biochemical functions, which have increased exponentially with the rapid progress of the genome project. |
Research Group | Artificial Intelligence group |
Publisher | Springer |
Journal | Soft Computing |
ISSN | 1432-7643 |
Electronic | 1433-7479 |
Publication dates | |
Online | 10 Oct 2005 |
Feb 2006 | |
Publication process dates | |
Deposited | 17 Oct 2008 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00500-005-0488-6 |
Language | English |
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