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Research Capabilities  Computer-Aided Drug Design (CADD)

Kalexsyn partners with John VanDrie and associates to provide molecular modelling capabilities. The overall aim of CADD is to reduce the number of design-synthesis-test cycles in medicinal chemistry, and to ensure that the maximum is ‘learned’ from each analog. 
Each molecular attribute is susceptible to modeling:

  • for potency,
    • if an Xray structure of the target is available, structure-based design (SBDD) is used;
    • if no Xray structure is available, but one is available of a homologous target, a homology model is built, and the techniques of SBDD are applied;
    • if no structural information is available, empirical models (pharmacophore models, QSAR models) are used to guide the design
  • for pharmacokinetic parameters,
    • models of permeability and rough estimates of solubility are used to constrain the molecular evolution to regions of chemical space likely to have acceptable PK characteristics
  • for off-target effects,
    • a variety of models are available which detect a molecule’s propensity to hit the hERG channel, CyP’s, etc.

We are not wedded to any specific methodology – we use the tools best suited to the problem, in an integrated way.  Our CADD scientists distinguish themselves by deep, practical experience in computer-aided drug discovery, with an average of more than a dozen years experience in Pharma research, with experience in the discovery of clinical candidates.

Examples of VanDrie's modelling efforts:

An inhibitor of Hepatitis C virus protease modeled into the active site of that protease.

A series of agonists of the 5-HT2c receptor overlaid via a pharmacophore, and modeled into the putative binding site.

 

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