Advancement and development in computational chemistry for Colorectal Cancer diagnosis and treatment

Abstract

: Colorectal cancer is the third most common form of cancer in the world and is a significant cause of death from cancer. To get a cure for colorectal cancer, early diagnosis and screening are necessary, as well as a clear understanding of the molecular basis of the disease. Molecular characterization of mutations associated with cancer provides useful information on the prognosis and reaction to therapy. This review discusses the clinical, molecular, and pathogenic features of the early onset of colorectal cancer, its screening tests, and diagnosis. The recent advances and rapid growth of computational tools in colorectal cancer used for diagnosis as well as screening are outlined in this review, including artificial intelligence, computer aided diagnosis, molecular docking, machine learning, and deep learning. In recent developments, the application of artificial intelligence has proved its excellency and shown a promising result, pointing out the severe need for a multidisciplinary approach to achieve an excellent result.