Pharmaceutical Formulations & Delivery

Deliver better medicines through in silico design

Optimize Drug Formulation Process

Optimize your pharmaceutical at the molecular level

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 to improve drug formulations and the ability to evaluate large numbers of candidate materials and formulations prior to experiments.

Schrödinger offers a range of computational solutions for advancing pharmaceutical formulation, from crystalline or amorphous form characterization to selection of materials and excipients for processing, formulation, and delivery.

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Intuitive computational workflows designed by experts in formulation chemistry

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Easy-to-use system builders for complex formulations of large molecular systems
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Powerful workflows for molecular simulation, machine learning, and data analysis
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Dedicated customer support and extensive training resources

Key Capabilities

Optimize drug process development and manufacturing with predictive characterization

  • Predict pKa, powder X-ray diffraction and crystal morphology 
  • Calculate Young’s and shear moduli to aid in the optimization of tableting conditions
  • Understand solubility in non-aqueous solvents
  • Simulate spectroscopy including VCD, NMR (solution and solid-state), IR, Raman, and UV-Vis

Understand drug stability and reactivity

  • Predict glass transition temperature and water uptake in amorphous materials, including amorphous solid dispersions
  • Evaluate drug stability with respect to various degradation channels
  • Calculate bond dissociation energy to evaluate chemical stability
  • Design molecular catalysts with automated solutions

De-risk your solid form selection process by identifying the most stable polymorph at room temperature

  • Efficiently predict the most stable crystal forms, starting from the 2D structures of the drug candidates, and generate thermodynamic stability ranking of different structures
  • Proactively identify alternative low energy crystal structures and avoid polymorphic transformation during development, manufacturing, and storage

    > Crystal Structure Prediction Services

Predict solubility of drug candidates

  • Accurately predict solubility of amorphous and crystalline forms to encourage the discovery of a soluble active pharmaceutical ingredient (API) and to delineate the potential solubility boost from non-crystalline forms using FEP+
  • Identify instances where pure drug solubility can exceed the expected solubility due to the formation of small drug aggregates

Characterize and optimize drug formulations and delivery

  • Gain insight into the complex requirements and behaviors of lipid-based and polymer-based formulations, including amorphous solid dispersions
  • Evaluate the impact of different polymers or polymer residues on the release solubilization and aggregation of the API
  • Predict key properties such as hygroscopicity, viscosity and miscibility of ingredients, molecular interactions in solution, and drug release profiles

Crystal Structure Prediction Services

De-risk your solid form selection process by identifying the most stable polymorph at room temperature

Overcome the risks associated with disappearing polymorphs in late stage drug development. For a given active pharmaceutical ingredient (API), we will leverage our proprietary crystal structure prediction (CSP) platform to identify the most stable crystal polymorph at room temperature. Starting from a 2D structure of the API, we deliver to you the thermodynamic stability ranking of crystal polymorphs.

Case Studies & Webinars

Discover how Schrödinger technology is being used to solve real-world research challenges.

Featured courseMolecular Modeling for Materials Science: Pharmaceutical Formulations

Learn in silico drug formulation methods with our hands-on online certification course

Level-up your skills by enrolling in our online course, Molecular Modeling for Materials Science: Pharmaceutical Formulations.

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Key Products

Learn more about the key computational technologies available to progress your research projects.

MS Maestro

Complete modeling environment for your materials discovery

Desmond

High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy

FEP+

High-performance free energy calculations for drug discovery

MS Morph

Efficient modeling tool for organic crystal habit prediction

MS CG

Efficient coarse-grained (CG) molecular dynamics (MD) simulations for large systems over long time scales

Jaguar

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Software and services to meet your organizational needs

Software Platform

Deploy digital drug discovery workflows using a comprehensive and user-friendly platform for molecular modeling, design, and collaboration.

Modeling Services

Leverage Schrödinger’s computational expertise and technology at scale to advance your projects through key stages in the drug discovery process.

Support & Training

Access expert support, educational materials, and training resources designed for both novice and experienced users.