Amino Acid Interaction Network Prediction using Multi-objective Optimization
This work addresses protein structure prediction, a key challenge in bioinformatics, but appears incremental as it combines existing optimization methods.
The paper tackles the problem of predicting amino acid interaction networks, which are crucial for protein structure prediction, by introducing a multi-objective evolutionary algorithm for interaction prediction and using an ant colony optimization algorithm to confirm interactions.
Protein can be represented by amino acid interaction network. This network is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. This interaction network is the first step of proteins three-dimensional structure prediction. In this paper we present a multi-objective evolutionary algorithm for interaction prediction and ant colony probabilistic optimization algorithm is used to confirm the interaction.