Macrocycles are becoming increasingly popular in drug discovery, due to their vast potential against previously “undruggable” targets. But the size and complexity of these molecules means that their design and optimisation is far from easy.

Watch Drs Ajay Jain and Ann Cleves, as they explore how to accurately predict the conformations and properties of macrocycles, to accelerate lead optimisation. They’ll touch upon:

  • How to effectively model structurally complex macrocycles for lead optimisation 
  • Applying biophysical constraints to help model very large peptidic macrocycles 
  • Different modelling methods using protein structure, and using purely ligand-based machine learning approaches 
  • Two practical case studies of effective macrocyclic lead optimisation using the BioPharmics platform 

3D molecular design resources

Meet the speakers

Dr Ajay Jain

VP of Research, BioPharmics Division

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Ajay Jain, VP OF RESEARCH, BIOPHARMICS DIVISION

Dr Ann Cleves

VP of Application Science, BioPharmics Division

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Ann Cleves, PhD