Sproteasepred
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Date
2018
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Publisher
UMT.Lahore
Abstract
Among all the protease prediction of protease from proteins is the most important and use for highly regulatory physiological processes. Protease performs different functions on the base of different biological processes also classify this protease in five different types. Identify through the sequences that its protease or non-protease. It’s necessary to recognize the protease urgently in different parasites, viruses, and bacteria’s also in the growth, birth, digestion, and maturation and death organisms. Neural network is a predicted method which provider fast and accurate results as compare to the old models like MIEC-PLS. Neural network is introduced to address this problem and avoid the redundancy. Overall success full rates are obtained by cross validation and independent testing for protease and non-protease is 91.8% and identifying the protease types are 82.0% among the five type’s aspartic, cysteine, serine, metallo and threonine. These high results indicate that this predicted model is power full and become a convenient tool in bioinformatics.