- Title
- Novel memetic algorithm for protein structure prediction
- Creator
- Islam, M. D.; Chetty, Madhu
- Date
- 2009
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/63260
- Identifier
- vital:5950
- Identifier
-
https://doi.org/10.1007/978-3-642-10439-8_42
- Abstract
- A novel Memetic Algorithm (MA) is proposed for investigating the complex ab initio protein structure prediction problem. The proposed MA has a new fitness function incorporating domain knowledge in the form of two new measures (H-compliance and P-compliance) to indicate hydrophobic and hydrophilic nature of a residue. It also includes two novel techniques for dynamically preserving best fit schema and for providing a guided search. The algorithm performance is investigated with the aid of commonly studied 2D lattice hydrophobic polar (HP) model for the benchmark as well as non-benchmark sequences. Comparative studies with other search algorithms reveal superior performance of the proposed technique
- Publisher
- Melbourne IEEE
- Rights
- Copyright Springer
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Memetic algorithm; Pair-wise-interchange; Tabu search; Modified fitness function; Schema preservation; Guided search space
- Full Text
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