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IN-SILICO ANALYSIS AND COMPUTER AIDED DRUG DESIGNING APPROACH FOR MUTANT CANCER GENE

Journal: International Journal of Bio-Technology and Research (IJBTR) (Vol.11, No. 2)

Publication Date:

Authors : ; ;

Page : 21-28

Keywords : Mutant cancer Gene; Molecular Docking; CADD; Binding Affinity & Ligand Fit;

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Abstract

Identification and validation of the receptor and drug is the key stage in the drug discovery pipeline. The method of drug designing has been a difficult task that needs at the same time optimizing varied factors from increasing compound activity, affectivity to minimizing toxicity and adverse reactions. A drug could be a chemical substance that affects the processes of the mind or body that is employed in designation, treatment and interference of il lness or different abnormally. Identification of the drug target molecule by using bioinformatics tool. In-silico “performed on pc or computational stimulation.”Lead identification- results of target validation assists in lead compound identification. Chemical compounds showing desired biological or pharmacologic activity- initiates development of recent clinical relevant compound. These compounds select diagnosis studies. Includes natural product, chemical libraries & machine healthful chemistry. Molecular docking will be performed to study the interaction of human p53 co-domain mutant gene and the associated ligand. In silica analysis and computer aided drug designing to access their potential anti - cancer activity to metabolic site of ligand. The analysis of prediction of conformation binding as well as the position and binding site within the binding affinity

Last modified: 2022-01-22 20:46:47