A High Performance Algorithm For Prediction of Protein Interactions - Aytuna, Ali Selim
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The major goal of Computational Biology and Bioinformatics is to achieve a better understanding of the principles of biological systems and processes using informatics tools. Elucidation of the full network of protein-protein interactions is a crucial part of this challenge. Thus, there is a growing need for fast and reliable in silico methods for predicting protein-protein interactions. Here, we present a high-performance algorithm for automated prediction of protein-protein interactions. We adopt a novel bottom-up approach that combines structure and sequence conservation in protein interfaces.…mehr

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Produktbeschreibung
The major goal of Computational Biology and Bioinformatics is to achieve a better understanding of the principles of biological systems and processes using informatics tools. Elucidation of the full network of protein-protein interactions is a crucial part of this challenge. Thus, there is a growing need for fast and reliable in silico methods for predicting protein-protein interactions. Here, we present a high-performance algorithm for automated prediction of protein-protein interactions. We adopt a novel bottom-up approach that combines structure and sequence conservation in protein interfaces.
Autorenporträt
Ali Selim Aytuna was born in Cincinnati, OH, USA. After receiving Electrical and Electronics Eng. at Middle East Technical University, he studied Bioinformatics during his M.S. work at Koc University, in Turkey. There, he developed a novel algorithm for prediction of protein-protein interactions, serving the community at bit.ly/wBtnZp.