QSite

A high-performance QM/MM program

QSite

Overview

QSite is a multi-scale simulation tool that utilizes the QM/MM method, which combines the principles of quantum mechanics and molecular mechanics. It is designed to accurately predict the molecular configurations, energetics, and the electronic structures of a reactive system through quantum chemical treatment of atoms, providing crucial insights into reactive chemistry essential for understanding chemical transformation in the presence of intermolecular interactions. QSite is equally applicable for describing non-reacting chemical systems.

Key Capabilities

Check mark icon
High performance

Outperforms other QM/MM programs because it takes advantage of Jaguar, long recognized as the industry leader in QM calculations.

Check mark icon
Advanced technology

Provides an innovative approach to the QM/MM interface specifically addressing protein systems and interactions between QM and MM regions.

Check mark icon
Transition metal convergence

Achieves a high degree of accuracy in metalloproteins thanks to Jaguar’s advanced capabilities; it reliably and efficiently converges to the correct ground state of transition metal containing systems.

Check mark icon
Wavefunction choices

Offers different levels of theory to evaluate the QM region: Hartree Fock, DFT, and local MP2. This allows the user to choose the best balance between computational cost and accuracy.

Check mark icon
Advanced calculation setup and analysis

Automatically applies special interface parameters, making it simple to set up calculations. Computed results, such as molecular orbitals and electron densities, can be visualized within Maestro.

Documentation & Tutorials

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

Life Science Tutorial

Defining QM and MM regions in QSite

Define regions to treat with QM and with MM for a QSite calculation.

Materials Science Tutorial

Kinetic Monte Carlo (KMC) Charge Mobility

Learn how to calculate charge mobility in semiconducting molecular devices.

Related Products

Learn more about the related 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

Maestro

Complete modeling environment for your molecular discovery

MS Mobility

Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors

MS Maestro

Complete modeling environment for your materials discovery

Publications

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

Materials Science Webinar

In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

In this webinar, we explore Schrödinger’s leading physics-based and machine learning computational technologies and provide a comprehensive introduction to the capabilities of computational modeling in chemistry, materials science, and engineering.

Materials Science Webinar

A paradigm change in the design and optimization of OLED materials using a digital chemistry strategy

In this webinar, we present the impact of in silico technologies for systematic design, development, and selection of organic optoelectronic materials.

Materials Science Webinar

Quick Start Workshop: Materials Simulation for Experimentalists

In this webinar, learn how an experimentalist can take advantage of simulation and modeling, as well as practical knowledge about how to get started.

Materials Science Webinar

Schrödinger Materials Science Seminar Japan 2024 

《無料Webセミナー》材料開発向けシミュレーション・ソフトウェアおよびマテリアルズ・インフォマティクスの活用事例を紹介。

Materials Science Webinar

Taking experimentation digital: Materials innovation using atomistic simulation and machine learning at-scale

In this webinar, we introduce a modern approach to materials R&D using a digital chemistry platform for in silico analysis, optimization and discovery.

Materials Science Publication

Sub-micro- and nano-sized polyethylene terephthalate deconstruction with engineered protein nanopores

Materials Science Webinar

A chemist’s view on R&D digitalization

In this webinar, we illustrate how the integration of Schrödinger’s machine learning technologies with physics based modelling can be utilized to predict properties of new materials.

Materials Science Webinar

Materials design in electronics industry: Application of materials informatics and cloud computing environment to the design of organic carrier transport materials

In this webinar, results of our trials to introduce such progresses to the materials design in electronic industry will be presented for the case of the design of organic carrier transport materials such as heteroacenes.

Materials Science Webinar

Panel discussion: Materials design at scale

Materials Science Webinar

Perspectives in Computational Materials Design: Progress and Prospects

In this webinar, we present new strategies for multiparadigm simulations of nanoscale materials with applications to electrocatalysis, Li batteries, micelle formation, and ductile boron carbide.

Training & Resources

Online certification courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.