Munish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Alejandro Moreno

Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

2 Citations (Scopus)


Modern drug discovery is an outcome of collaborative and cooperative efforts at the level of researchers in academic, industry, and government research institutions. Computational processing and molecular modeling help scientists to harness their knowledge gained from recent advances in genomics and proteomics to understand biological systems and disorders as well as diseases.The research and development (R&D) process is a complex and challenging task that involves resource and task management, the best scientific minds and expertise, time factors, and cost. The complexity of the biological system starts from the potential target for a new drug design from the database of 20,000 to 25,000 human genes made up of three billion individual base pairs to match a right binding pocket of the target protein. Target validation is a complex and crucial step in drug development that helps scientist to avoid any frustrating dead end research pathways. Medicinal chemists optimize the lead compound to become a potential drug by understanding the structural parameters of the target. The role of technology, computational tools, and smart algorithms is very crucial at these earlier stages of drug development. Any mistakes and wrong assessments in prioritizing the lead compound may affect cost, time, and research efforts.
Original languageEnglish
Title of host publicationArtificial Neural Network for Drug Design, Delivery and Disposition
EditorsMunish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno
Place of PublicationAmsterdam
PublisherElsevier Inc.
Number of pages3
ISBN (Print)9780128015599
Publication statusPublished - 2016
Externally publishedYes


  • drug discovery methods
  • Molecular modelling
  • computational processing
  • drug development


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