Paper Info
Title
Protein Tertiary Structure Prediction Using Artificial Bee Colony Algorithm
Abstract
Proteins are essential for the biological processes in the human body. They can only perform their functions when they fold into their tertiary structure. Protein structure can be determined experimentally and computationally. Experimental methods are time consuming and high-priced and it is not always feasible to identify the protein structure experimentally. In order to predict the protein structure using computational methods, the problem is formulated as an optimization problem and the goal is to find the lowest free energy conformation. In this paper, artificial bee colony algorithm (ABC) is a swarm intelligence based optimization algorithm inspired by the behaviour of honey bee foraging. This algorithm is adapted to search the protein conformational search space to find the lowest free energy conformation. Interestingly, the algorithm was able to find the lowest free energy conformation for a test protein (i.e. Met enkephaline) using ECEPP/2 force fields.
Year
DOI
Venue
2009
10.1109/AMS.2009.47
Asia International Conference on Modelling and Simulation
Keywords
Field
DocType
particle swarm optimization,fuzzy control system,inertia weight,fuzzy system,artificial bee colony algorithm,specified point,protein tertiary structure prediction,membership function,loading dock,amino acids,prediction algorithms,optimization problem,biological processes,force field,testing,protein conformation,artificial intelligence,predictive models,swarm intelligence,computer science,proteins,sequences,free energy,biological process,search space,optimization,human body,data mining,protein structure
Particle swarm optimization,Artificial bee colony algorithm,Protein tertiary structure,Biological system,Swarm intelligence,Optimization algorithm,Artificial intelligence,Optimization problem,Mathematics,Honey bee,Protein structure
Conference
ISBN
Citations 
PageRank 
978-0-7695-3648-4
12
0.92
References 
Authors
9
3
Name
Order
Citations
PageRank
Hesham Awadh A. Bahamish1120.92
Rosni Abdullah215624.82
Rosalina Abdul Salam37010.83