Biotech & Pharmaceuticals

Accelerating pharmaceutical formulations development: A computational approach

This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.

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Modelling amorphous solid dispersion (ASD) release mechanisms

In this webinar, AbbVie and Schrödinger will present the results of a study using a combination of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) thermodynamic modeling and molecular simulation to investigate the release mechanism and the occurrence LoR of an ASD formulation.

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Computational insights into polymer excipient selection for amorphous solid dispersions

In this webinar, we will highlight how molecular models can aid our ability to screen through standard polymer excipients for target lists to push into lab testing.

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Advancing lipid nanoparticle development with structure-based modeling platform and services

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Accelerating pharmaceutical formulations using machine learning approaches

In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.

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Advancing the design and optimization of drug formulations with combined computational and experimental approaches

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Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation

In this webinar, we introduce Schrödinger’s coarse-grained simulation technology that can simulate the formation of LNP structures from a random mixture.

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Crystal structure prediction workflow for small molecule drug formulation

In this webinar, we describe how early assessment of crystal polymorphism and thermodynamic solubility continues to be elusive for drug discovery and development despite its critical importance, especially for the ever-increasing fraction of poorly soluble drug candidates.

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Molecular-level insight into solubility-enhancement via cosolvents and amorphous solid dispersions

In this webinar, we highlight how molecular models can aid our ability to anticipate challenges prior to candidate selection as well as to quickly understand issues that arise in later stages of development.

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Characterizing lipid nanoparticle self-assembly and structure using coarse-grained simulations

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