Computer Aided Drug Design (CADD)

Computer-aided drug design uses computational chemistry to discover, enhance, or study drugs and related biologically active molecules. The fundamental goal is to predict whether a given molecule will bind to a target and if so how strongly. CADD entails use of computing power to streamline drug discovery and development process, leverage of chemical and biological information about ligands and/or targets to identify and optimize new drugs, design of in silico filters to eliminate compounds with undesirable properties (poor activity and/or poor Absorption, Distribution, Metabolism, Excretion and Toxicity, ADMET) and select the most promising candidates.The biosimulation market is expected to reach USD 2,107.99 Million by 2020 from USD 1,034.93 Million in 2015, growing at a CAGR of 15.29% between 2015 and 2020.

  • Steps Involved in CADD
  • Drug Design Software
  • Biomarkers
  • Bioinformatics in CADD.
  • Ligand based CADD.
  • Homology modeling.

Related Conference of Computer Aided Drug Design (CADD)

February 28-March 01, 2019 |

Global Pharmaceutical and Pharma Industry Conference

Osaka, Japan
March 18-19, 2019

13th International Conference on Biosimilars and Biologics

Amsterdam | Netherlands
July 26-27, 2019

13th Asian Biologics and Biosimilars Congress

Mercure Albert Park | Melbourne, Australia

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