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The bacteria have developed resistance against many of the drugs available in the market. Halgamuge "Self-Organizing Hierarchical Particle Swarm Optimizer With Time Varying Acceleration Coefficients" IEEE Trans. A well organized research comprising of analogue based drug design and molecular dynamics plays a major role in obtaining the lead molecules. Black PN, Di Russo CC, Metzger AK, Heimert TL (1992): Cloning, sequencing, and expression of the fad D gene of Escherichia coli encoding Acyl coenzyme A Synthetase. Gao Yue-lin , Duan Yu-hong "A New Particle Swarm Optimization Algorithm with Random Inertia Weight and Evolution Strategy" International Conference on Computational Intelligence and Security Workshops 2007. Guimin Chen, Xinbo Huang, Jianyuan Jia and Zhengfeng Min " Natural Exponential Inertia Weight Strategy in Particle Swarm Optimization" 6th World Confress on Intelligent Control and Automation, June 21 - 23, 2006, Dalian, China. Jong-Bae Park, Yun-Won Jeong, Hyun Houng Kim and Joong-Rin Shin "An Improved Particle Swarm Optimization for Economic Dispatch with Valve-Point Effect" International Journal of Innovations in Energy Systems and Power, Vol. Therefore by emphasizing this protein as a drug target can help in the identification of novel drugs to cure leprosy. Black PN, Zhang Q, Weimar JD, Di Russo CC (1997): Mutational analysis of a fatty Acyl-coenzyme A Synthetase signature motif identifies seven amino acid residues that modulate fatty acid substrate specificity. Key words: cellular genetic algorithm, dynamic optimization, density dependence scheme Reference  R.
Most of the genes are involved in biosynthetic and metabolic pathways, so the product of these genes can be aimed for the novel drug target. Transmembrane movement of exogenous long-chain fatty acids: proteins, enzymes, and vectorial esterification. Moreover, in the second proposed rule, the competition scheme of the best individuals within the neighborhoods of one individual is also introduced. The proposed four ports cylinder was simulated and parameters such as ports sizes, loads and pressures are varied during the simulation. The hydraulic resisting forces, piston speed and mass flow rates are computed. Chenoweth, Aircraft flight control actuation system design vol. Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach . Yuhui Shi and Russell Eberhart "A modified particle swarm optimizer" 0- 7803-4869-9198 0.0001998 IEEE.