Abstract

Harshita Gajare*, Pratiksha Kale, Anuja Kangane, Gautami Gholap, Mansi Patil, Yogesh S. Wankhede and Dr. M. R. N. Shaikh

ABSTRACT

Two important methods in drug discovery are high-throughput screening (HTS) and combinatorial chemistry. Combinatorial chemistry increases the likelihood of finding novel bioactive chemicals by enabling scientists to create large chemical compounds that replicate the diversity found in nature. On the other hand, high-throughput screening rapidly assesses dozens or millions of chemicals against certain biological targets using sophisticated robotics, miniature experiments, and automated data analysis. This quick screening procedure speeds up the creation of novel treatments and assists researchers in identifying viable medication candidates. HTS and combinatorial chemistry have revolutionized pharmaceutical research by cutting expenses and time while raising the possibility of developing ground-breaking cures. These technologies are still developing, including machine learning, artificial intelligence, and novel screening techniques to improve the hunt for medications that can save lives.