Drug Formulation

Deliver better medicines through in silico design

Optimize Drug Formulation Process

Optimize your drug formulation process with structure-based insights and efficient screening of formulation parameters

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 small molecule formulation, from crystalline or amorphous forms to selection of materials and excipients for processing, stability, and delivery.

Key Capabilities

Identify the most stable crystal polymorph to derisk your drug formulation

  • 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

Predict solubilities of drug candidates

  • Accurately predict solubility of amorphous and crystalline forms to encourage the discovery of a soluble 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

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

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 miscibility of ingredients, molecular interactions in solution, and drug release profiles

Optimize drug process development and manufacturing

  • Predict crystal morphology to anticipate powder flow challenges
  • Calculate Young’s and shear moduli to aid in the optimization of tableting conditions
  • Understand solubility in non-aqueous solvents
BlogTackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods (FEP)

Tackling drug solubility: AbbVie and Schrödinger collaborate to advance accurate prediction methods

Despite its critical importance, early assessment of crystalline thermodynamic solubility continues to be elusive for drug discovery and development. Scientists from AbbVie and Schrödinger have been collaborating to explore new physics-based methods for solubility prediction.

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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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Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Documentation

Crystal Structure Prediction

The Crystal Structure Prediction Panel can be used to explore potential crystal polymorphs and rank them based on their energies.

Key Products

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

FEP+

High-performance free energy calculations for drug discovery

Jaguar

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

Desmond

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

MS Morph

Efficient modeling tool for organic crystal habit prediction

MS Maestro

Complete modeling environment for your materials discovery

MS CG

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

Crystal Structure Prediction

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

Case studies & webinars

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

Materials Science Webinar

Formulation ML and Optimization: Making advanced property prediction and experimental design fast and accessible

We will showcase how easy it is to apply these tools using experimental datasets across broad MS applications, including formulations, consumer goods, batteries, pharmaceuticals, and beyond.

Materials Science Webinar

「Formulation MLとFormulation ML Optimization:高度な物性予測と実験計画を高速かつ身近なものに ーAI駆動型マテリアルズ・ディスカバリーの加速」

AIを活用したマテリアルズ・ディスカバリー(材料探索)は、もはや実験的な取り組みではなく、国家レベルの新たなスタンダードとして定着しつつあります。

Materials Science Webinar

Formulation ML and Optimization: Making advanced property prediction and experimental design fast and accessible

We will showcase how easy it is to apply these tools using experimental datasets across broad MS applications, including formulations, consumer goods, batteries, pharmaceuticals, and beyond.

Materials Science Webinar

難溶性薬物の放出メカニズムを解明する – ASD研究の新たなアプローチModelling amorphous solid dispersion (ASD) release mechanisms

AbbVie と Schrödinger のエキスパートが、ASDにおける薬物放出やLoss of Release のメカニズムを、熱力学モデリング・分子シミュレーション・実験研究 を組み合わせた最新の研究成果を基に解説します。

Life Science Webinar

Computational tools for PROTAC design and optimization

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

Life Science Webinar

Transforming small molecule drug discovery: The computational chemistry paradigm

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

Life Science Webinar

Integrating physics-based insights to accelerate biologics design

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

Life Science Webinar

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.

Life Science Webinar

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.

Life Science Webinar

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.

Publications

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

Life Science Publication

A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study

Life Science Publication

Calculating apparent pKa values of ionizable lipids in lipid nanoparticles

Life Science Publication

Predicting the Release Mechanism of Amorphous Solid Dispersions: A Combination of Thermodynamic Modeling and In Silico Molecular Simulation

Life Science Publication

Coarse-grained simulation of mRNA-loaded lipid nanoparticle self-assembly

Life Science Publication

Linking ATP and allosteric sites to achieve superadditive binding with bivalent EGFR kinase inhibitors

Life Science Publication

Free Energy Perturbation Approach for Accurate Crystalline Aqueous Solubility Predictions

Life Science Publication

On Ternary Complex Stability in Protein Degradation: In Silico Molecular Glue Binding Affinity Calculations

Life Science Publication

Intense bitterness of molecules: Machine learning for expediting drug discovery

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.

Research 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.