Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.

Journal: Current topics in medicinal chemistry
Published Date:

Abstract

BACKGROUND: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data necessitate the use of cutting-edge methodologies. As a result, Artificial Intelligence-driven methods that have been shown to improve the efficiency and accuracy of drug discovery have grown in favor.

Authors

  • Purvashi Pasrija
    Bioinformatics Infrastructure Facility (BIF), Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007, India.
  • Prakash Jha
    Bioinformatics Infrastructure Facility (BIF), Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007, India.
  • Pruthvi Upadhyaya
    Bioinformatics Infrastructure Facility (BIF), Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007, India.
  • Mohd Shoaib Khan
    Bioinformatics Infrastructure Facility (BIF), Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007, India.
  • Madhu Chopra
    Bioinformatics Infrastructure Facility (BIF), Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, New Delhi, 110007, India.