Background

Content Library

Filter
Type
Topic
Product
  • Publication
  • Mar 8, 2023
Design and Synthesis of Novel Oxime Ester Photoinitiators Augmented by Automated Machine Learning
Won Jung Lee, et al. Chemistry of Materials, 2022, 34(1), 116-127
  • Publication
  • Aug 12, 2020
Digitalisierung: molekulares Design plattformisieren
Scarbath-Evers, et al. Nachrichten aus der Chemie, 2020, Jul (68), 34-36
  • Publication
  • Nov 11, 2016
Automated Protocol for Large-Scale Modeling of Gene Expression Data
Hall, et al. J. Chem. Inf. Model., 2016, 56 (11), 2216-2224
  • Publication
  • Sep 20, 2016
AutoQSAR: An Automated Machine Learning Tool for Best-Practice QSAR Modeling
Dixon, et al. Future Med. Chem., 2016, 8 (15), 1825-1839
  • Publication
  • Sep 8, 2015
Kernel-based partial least squares: Application to fingerprint-based QSAR with model visualization
An, et al. J. Chem. Inf. Model., 2013, 53(9), 2312-2321
dark theme background

Latest insights from Extrapolations blog

With FEP+, “The Experiment is the Limit.”
With FEP+, “The Experiment is the Limit.”

Over the past century, small molecule drugs have represented the dominant modality in drug research, enabling medical breakthroughs that have saved countless lives.

Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods (FEP)
Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods

The complexity and size of drug candidates has grown in recent years as scientists pursue novel targets once considered undruggable.

Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In Blog
Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In

We recently sat down with Edward Miller, Senior Director of Protein Structure Modeling at Schrödinger, to discuss his experience using AlphaFold models for SBDD.

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.

Free learning resources

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.