अमूर्त

The importance of bioinformatics methods in different branches of biotechnology

Mohammad Moradi

In the recent era of science, the researchers are facing a considerable amount of raw biological information on different aspects of life science. Processing this information could be of great importance for predicting the outcome of biological interactions. One of the advantages of the in silico methods is to reduce the cost of laboratory work, project expenses, and the unnecessary sacrifice of animals. One of the applications for computers in life science is for classifying the structures of proteins based on their pseudo amino acid composition; such as classification of laccase enzymes from bacterial and fungal sources, or classification of Glutathione S-transferases from various sources by using different machine learning algorithms, such as Support vector machine (SVM), Random Forests (RF), Covariance Discrimination (CD) and Optimized Evidence-Theoretic K-nearest Neighbor (OET-KNN).