Computational Biotechnology: The "matrix" of Experimental Biology

Abstract

In Silico studies is gaining popularity in almost all scientific fields of chemistry, molecular biology, physics, etc., and biotechnology is also not left apart. With the great advancement in our computation powers and the invention of supercomputers, biotechnology stepped into a digital phase. This review article tries to bring out these topics with special emphases on in silico drug discovery.In silico drug discovery uses computational approaches in the identification, design, and optimization of possible drug candidates. It applies techniques of molecular modeling, virtual screening, and prediction algorithms as a method of reducing time and cost toward traditional processes of drug discovery. More advanced techniques applied would include molecular docking, pharmacophore modeling as a complement to in silico drug discovery. With high accuracy, these techniques can predict biological activity, toxicity as well as drug-likeness. In other words, the in-silico approach to drug discovery is an invaluable complementary tool to modern pharmaceutical research in innovating new therapies.