Schrödinger
Schrödinger is transforming the way therapeutics and materials are discovered. Schrödinger has pioneered a computational platform, powered by physics and amplified by AI/ML, that enables discovery of novel, highly optimized molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Founded in 1990, Schrödinger has over 850 employees and is engaged with customers and collaborators in more than 70 countries. To learn more, visit www.schrodinger.com, follow us on LinkedIn or visit our blog, Extrapolations.com.
Contact info
- Email:
- info@schrodinger.com
- Website:
- https://www.schrodinger.com/
- Webinar
Purposeful simulation: Maximising impact in surface chemistry modelling
Learn how to select appropriate computational models to deliver impact in surface chemistry research – join us 12 November
- Webinar
Data-driven materials innovation: where machine learning meets physics
Speed up materials innovation, save time & cost by leveraging a combination of physics-based simulations and chemistry-informed machine learning
- Webinar
Cutting-edge cosmetics: innovating for sustainability with machine learning & molecular simulations
Learn how to save cost, reduce time and drive innovation in developing sustainable cosmetic formulations
- Article
A paradigm shift in the development of environmentally sustainable consumer packaged goods
Simulation technologies can shortcut the design process for new materials
- Article
Driving environmental sustainability across the polymer supply chain with a digital chemistry strategy
From synthesis to formulation, manufacturing, recycling and reprocessing, computational modelling supports every part of process
- Webinar
Resolving absolute stereochemistry in early drug discovery with VCD
From sample preparation to use of quantum chemical software tools, learn how vibrational circular dichroism (VCD) streamlines chiral analysis in the R&D analytical support lab
- Webinar
Driving the development of bio-based polymers with molecular simulation
Large-scale molecular simulations minimise costs and reduce the time it takes to develop bio-based polymer materials
- Webinar
Efficient modelling of polymers for industrial applications using molecular dynamics
Learn how simulations can elevate polymer modelling and enhance your workflow
- Webinar
Optimising protein stability using new computational design approaches for biologics
Learn how to use modern computational methods to optimise your approach to protein stability
- Webinar
Sublime precursors: how modelling organometallics at surfaces drives innovation in materials processing
Explore atomic-scale simulation workflows – and learn about key precursor properties and the thermodynamics of adsorption
- Webinar
Moving beyond spreadsheets: rational design of materials using advanced informatics and machine learning
Join us to learn how machine learning and and physics-based modelling can complement each other to create models and new materials
- Webinar
Trends in modern hit discovery: How your ultra-large screens can benefit from machine learning
Join us to learn how your ultra-large screens can benefit from machine learning
- Webinar
A chemist’s view on R&D digitalisation in materials innovation
Join us to discover how the integration of machine learning with physics based modelling and enterprise informatics transforms materials discovery
- Webinar
Molecular modeling for the medicinal chemistry toolkit
Join us to discover how to streamline your workflows using integrated software solutions for docking, ligand design, and optimisation
- Webinar
Computational acceleration of novel organic electronic materials development
Join us to learn about the latest technology in atomistic-scale design and development of novel organic electronic materials with recent case studies and examples
- Webinar
Physics-based computational modeling applied to the design and optimisation of biologics
Explore how FEP technology (including FEP+) can be applied in protein engineering work
- Webinar
High-throughput reaction screening for accelerated materials research
Learn how structure-property relationships can be used to re-design reactions or catalysts to achieve a desired activity
- Webinar
Faster drug discovery and optimisation with physics-based computational methods
Learn how physics-based computational methods, such as Free Energy Pertubation (FEP) calculations, can speed up the drug discovery and lead optimisation