Fill out the Request Trial form if you'd like more information. I highly appreciate the intuitive interface and the common graphical interface for a variety of different programs from all fields of computational chemistry. Maestro not only allows very easy access to state-of-the-art tools which are necessary for computational drug design support, but the Python API also enables scripting and testing methods for large datasets. I really appreciate the fact that there is a very strong team of scientists that are constantly working towards improving the software, implementing the latest methods available for docking, scoring, chemoinformatics, etc.
The integration of several required steps of a pipeline on one platform allows for faster and less error-prone execution of projects. In the last year, we carried out docking predictions of protein-ligand inhibitors and I was pleased to see that our predictions have been confirmed experimentally.
Moreover, I find that the user-friendly interface makes it very easy, even for students without any experience, to carry out significant amounts of work in a reasonably short amount of time. The user-friendly interface allows students to quickly draw complex molecules and simulate chemical reactions. This provides another dimension for helping students understand complex concepts and is a perfect complement to what they learn in traditional laboratory work.
This can be incorporated as a stand-alone workshop or as part of a longer course segment. Email us at training schrodinger. Check out the Training Portal for a list of upcoming workshops. License Information. To obtain a license, please follow the instructions below that match your situation: Request License If you have purchased our software or have been preauthorized for a trial, you will receive an email with instructions on how to obtain a license. Install Licenses If you already have a valid node-locked or server-based license file, but have not yet installed it, please see the License Installation Instructions.
Start License Server If you have a valid server-based license file that is already in place and you need to start the license server, open the Diagnostics application and click "Start License Server". Accessing a License Server If the machine on which you have installed our software will not be the license server for your location, please refer to Knowledge Base Article on setting up your machine to access a license server: Other License Requests If none of the above apply to you, please contact help schrodinger.
Maestro is a streamlined portal for structural visualization and access to cutting-edge predictive computational modeling and machine-learning workflows for small molecule drug discovery.
Connect to a wide diversity of industry-leading computational tools through a single intuitive visualization interface.
Read molecules in multiple formats, create and edit structures, and generate design ideas to facilitate molecular exploration. Reveal structural insights interactively through linked workspace and analysis panels by simply selecting atoms.
Benefit from approachable workflows that are easily searchable and anticipate next steps in common workflows. Request a demo. Explore our platform. Skip to main content. Maestro Lead the way with an integrated, intuitive modeling environment for scientific discovery and digitization. More than a molecular modeling environment Successful digital drug discovery teams demand an ecosystem versatile enough to incorporate disparate data and allow users across an organization to access information.
Make better quality molecules in less time Maestro is a critical component of the transformative drug discovery platform used to optimize the design-make-test-analyze cycle that leads to better quality compounds faster. Leverage tractable physics-based workflows amplified by machine learning Maestro is a streamlined portal for structural visualization and access to cutting-edge predictive computational modeling and machine-learning workflows for small molecule drug discovery.
Hit Discovery. Lead Optimization.
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