Back to Search
Start Over
A hybrid genetic-neural system for predicting protein secondary structure.
- Source :
-
BMC bioinformatics [BMC Bioinformatics] 2005 Dec 01; Vol. 6 Suppl 4, pp. S3. Date of Electronic Publication: 2005 Dec 01. - Publication Year :
- 2005
-
Abstract
- Background: Due to the strict relation between protein function and structure, the prediction of protein 3D-structure has become one of the most important tasks in bioinformatics and proteomics. In fact, notwithstanding the increase of experimental data on protein structures available in public databases, the gap between known sequences and known tertiary structures is constantly increasing. The need for automatic methods has brought the development of several prediction and modelling tools, but a general methodology able to solve the problem has not yet been devised, and most methodologies concentrate on the simplified task of predicting secondary structure.<br />Results: In this paper we concentrate on the problem of predicting secondary structures by adopting a technology based on multiple experts. The system performs an overall processing based on two main steps: first, a "sequence-to-structure" prediction is enforced by resorting to a population of hybrid (genetic-neural) experts, and then a "structure-to-structure" prediction is performed by resorting to an artificial neural network. Experiments, performed on sequences taken from well-known protein databases, allowed to reach an accuracy of about 76%, which is comparable to those obtained by state-of-the-art predictors.<br />Conclusion: The adoption of a hybrid technique, which encompasses genetic and neural technologies, has demonstrated to be a promising approach in the task of protein secondary structure prediction.
- Subjects :
- Algorithms
Computer Simulation
Databases, Protein
Models, Chemical
Models, Molecular
Molecular Sequence Data
Neural Networks, Computer
Protein Conformation
Protein Folding
Protein Structure, Tertiary
Sequence Alignment
Sequence Analysis, Protein
Software
Computational Biology methods
Protein Structure, Secondary
Proteins chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1471-2105
- Volume :
- 6 Suppl 4
- Database :
- MEDLINE
- Journal :
- BMC bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 16351752
- Full Text :
- https://doi.org/10.1186/1471-2105-6-S4-S3