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  6. [Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

[Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

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last updated:Oct 01, 2025

シュレーディンガー
シュレーディンガー

We promote the rapid and efficient development of new drugs through physics-based modeling and simulation, along with automated workflow solutions.

As the speed of drug discovery accelerates, the rapid and efficient preformulation and formulation of new drugs has become a crucial element in pharmaceutical development. Advances in atomic-scale modeling and simulation techniques have made it possible to conduct in silico screening of numerous candidate materials and formulations based on complete physics-based models. [Case Studies] - Stability of drugs against chemical degradation - Compatibility of pharmaceutical ingredients - Thermophysical stability based on glass transition temperature - Controlled release: Supramolecular structures in formulation *For more details, please refer to the PDF document or feel free to contact us.

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[Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

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Our computational chemistry platform is capable of addressing a wide range of materials research fields. ■ Prediction of physical properties through Density Functional Theory (DFT) calculations and first-principles calculations in periodic systems HOMO/LUMO/pKa/solvent effects/IR/Raman/UV-vis/VCD/NMR/oxidation-reduction potential/triplet excited state energy/TADF S1-Tx gap/fluorescence/phosphorescence/vibrational calculations/structure optimization/transition state calculations/reaction pathway analysis/adsorption energy/bond dissociation energy/electron and hole mobility/reorientation (rearrangement, reconfiguration) energy ■ Prediction of physical properties using Molecular Mechanics (MM), Molecular Dynamics (MD), and Coarse-Grained MD Density/conformation analysis/crosslinking structure/Young's modulus/viscosity/surface tension/glass transition temperature (Tg)/molecular diffusion/thermal expansion/crystal morphology/swelling/stress-strain curves/solubility parameters Methods available for use in machine learning Generation of various descriptors and fingerprints/Partial Least Squares (PLS) regression/multiple linear regression (MLR)/Principal Component Regression (PCR)/Kernel PLS/Bayesian classification/Recursive Partitioning (RP) analysis/Self-Organizing Maps/Tg, dielectric constant, boiling point, vapor pressure prediction models/genetic algorithms/active learning

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[Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

[Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

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[Data] Machine Learning and Material Property Prediction

[Data] Machine Learning and Material Property Prediction

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This is a Japanese brochure that clearly introduces Schrödinger's materials development support products.

This is a Japanese brochure that clearly introduces Schrödinger's materials development support products.

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Product Comprehensive Guide

Product Comprehensive Guide

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[Case Studies] Machine Learning for Materials Research

[Case Studies] Machine Learning for Materials Research

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[Data - Simplified Version] AI Platform for Materials Informatics: LiveDesign Presentation Materials

[Data - Simplified Version] AI Platform for Materials Informatics: LiveDesign Presentation Materials

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[Information] Molecular simulation software for the development of food, cosmetics, and packaging materials.

[Information] Molecular simulation software for the development of food, cosmetics, and packaging materials.

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Utilization of Molecular Simulation and Machine Learning for Daily Necessities Development

Utilization of Molecular Simulation and Machine Learning for Daily Necessities Development

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Improvement of formulation design and optimization through coarse-grained molecular simulation.

Improvement of formulation design and optimization through coarse-grained molecular simulation.

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シュレーディンガー

シュレーディンガー

software

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Schrödinger Co., Ltd. is the Japanese subsidiary of Schrödinger Inc., headquartered in New York, USA. Schrödinger has a history of about 30 years in developing software that integrates advanced technologies in chemistry and computer science, primarily in the fields of materials science and life sciences, providing advanced solutions for drug discovery, biologics, and materials research and development.

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