IN SILICO SCREENING OF NATURAL COMPOUNDS AS POTENTIAL INHIBITORS OF GPR120 TO PREVENT CANCER

Bioinformatics aims to solve biological problems by using techniques from mathematics, statistics, computer science, and machine learning. Recent years have observed the essential use of these techniques in bioinformatics. Examples of such applications include those to gene expression data analysis, gene-protein interactions, protein folding and structure prediction, genetic and molecular networks, sequence and structural motifs, genomics and proteomics, and so on. Cancer is one of the challenging disease in the world, according WHO reports almost 7.6 million people died because of cancer and its related disease. Therefore it seems that there is greater urgency for the development of new drugs and efficient methods for prevention of cancer. Plants produce an enormous variety of natural products with diverse pharmacological properties. In the area of cancer more than 80% of the clinically important drugs originate from natural compounds. This book is a valuable resource for bioinformatics tolls of in-silico screening, molecular modeling, and molecular docking and also focused on cancer targeted enzyme GPR120 and Natural products in cancer treatment.

This is a really excellent book lie its readability and organization. This book is highly recommended to all computational biology, medical and natural product chemists.