In the dynamite field of biological and protein research, the protein fold recognition for long pattern protein sequences is a great confrontation for many years. With that consideration, this paper contributes to the protein folding research field and presents a novel procedure for mapping appropriate protein structure to its correct 2D fold by a concrete model using swarm intelligence. Moreover, the model incorporates Extended Genetic Algorithm (EGA) with concealed Markov model (CMM) for effectively folding the protein sequences that are having long chain lengths. The protein sequences are preprocessed, classified and then, analyzed with some parameters (criterion) such as fitness, similarity and sequence gaps for optimal formation of protein structures. Fitness correlation is evaluated for the determination of bonding strength of molecules, thereby involves in efficient fold recognition task. Experimental results have shown that the proposed method is more adept in 2D protein folding and outperforms the existing algorithms.
The security systems used currently does not provide required levels of safety against towering threats. The prominent reason for their failure is the usage of point solutions for protecting hosts and reactive approach against intrusions. Electronic Commerce is process of doing business through networking. A person sitting can access all the facilities of the Internet to buy or sell the products from the place he is stationed. Security is the challenge faced by e-commerce today & there is still a lot of advancements to be made in security features. The one aspect where e-commerce wins over traditional commerce is that the buyer can browse online shops, compare and order merchandise on their PC. The researches imply the significance of the e-commerce in developing countries for business concerns.
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