Support Vector Machine Implementation in the Analysis of HIV Species Based on Amino Acid and Dipeptide Sequences

Abstract: Infections are little irresistible specialists that can reproduce inside the cells in living life form. Human Immunodeficiency (HIV) is an infection that attacks human cells, debilitates the insusceptible framework and making individuals more vulnerable to disease. The favourable environment created by such virus allows grow of its content and rapidly increases within the hosts. HIV is a progressive sickness that causes a wide range of medical problems as a result of a widening array of bodily deficiencies and also considered as a lentivirus responsible for AIDS. The progressive breakdown of safe structures and the increase of dangerous breakthrough contamination characterise such human situation. In the study we used support vector machine (SVM) with Uniprot / Swiss-prot database to know the discrimination in HIV species based on Amino Acid and Dipeptide sequences to know the proportion and suggest the doctors to inject favourable protein to overcome the contamination. This also encourages the pharmaceutical industries to produce low cost medicines to cure of such diseases and also allow the patients to recover from diseases in low cost.