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Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction

Bonetti, Daniel; Delbem, Alexandre; Einbeck, Jochen

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Authors

Daniel Bonetti

Alexandre Delbem



Contributors

Thomas Kneib
Editor

Fabian Sobotka
Editor

Jan Fahrenholz
Editor

Henriette Irmer
Editor

Abstract

A real-valued bivariate ‘Estimation of Distribution Algorithm’ specific for the ab initio and full-atom Protein Structure Prediction problem is proposed. It is known that this is a multidimensional and multimodal problem. In order to deal with the multimodality and the correlation of dihedral angles φ and ψ, we developed approaches based on Kernel Density Estimation and Finite Gaussian Mixtures. Simulation results have shown that both techniques are promising when applied to that problem.

Citation

Bonetti, D., Delbem, A., & Einbeck, J. (2014). Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction. In T. Kneib, F. Sobotka, J. Fahrenholz, & H. Irmer (Eds.), 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings (15-18)

Conference Name 29th International Workshop on Statistical Modelling
Conference Location Göttingen, Germany
Publication Date Jul 18, 2014
Deposit Date Sep 19, 2014
Publicly Available Date Mar 29, 2024
Volume 2
Pages 15-18
Book Title 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings.
Public URL https://durham-repository.worktribe.com/output/1155564
Publisher URL http://www.statmod.org/workshops_archive_proceedings_2014.htm
Related Public URLs : http://www.statmod.org/workshops_archive_proceedings_2014.htm
Additional Information Conference dates: 14 to 18 July 2014

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