Computationally-Guided Drug Formulation Webinar Series

A smart, strategic drug formulation can efficiently advance your drug development projects and inform downstream processes. Advances in molecular modeling and machine learning are enabling atomistic-level insights and the ability to evaluate large numbers of candidate materials and formulations prior to experiments.

Join us this fall for Computationally-Guided Drug Formulation Webinar Series – five webinars in which we will explore how the latest computational modeling tools are impacting the various steps in the pharmaceutical formulation process. In each webinar we will feature an expert from Schrödinger sharing valuable insights and practical applications on a key topic. Register for the series to learn how to optimize your formulation process with structure-based insights and efficient parameter screening.

• September 11, 2024
  Characterizing small drug-like molecules with automated computational spectra prediction
  Speaker: Art Bochevarov, Research Leader
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• September 25, 2024
  Computational reactivity and catalysis for drug synthesis
  Speaker: Michael Rauch, Associate Director, Materials Science
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• October 9, 2024
  Molecular-level insight into solubility-enhancement via cosolvents and amorphous solid dispersions
  Speaker: Ben Coscia, Principal Scientist
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• October 23, 2024
  Crystal structure prediction workflow for small molecule drug formulation
  Speaker: Lingle Wang, Sr. Vice President, Scientific Development
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• November 6, 2024
  Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation
  Speaker: John Shelley, Fellow
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• April 8, 2025
  Accelerating pharmaceutical formulations using machine learning approaches
  Speaker: Anand Chandrasekaran, Senior Principal Scientist
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• May 14, 2025
  Computational insights into polymer excipient selection for amorphous solid dispersions
  Speaker: Andrea Browning, Senior Director for Polymers
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