- Publication
- Jul 1, 2022
ePharmaLib: A Versatile Library of e-Pharmacophores to Address Small-Molecule (Poly-)Pharmacology
Aur’lien F. A. Moumbock, et al. JCIM, 2022, 61(7), 3659-3666- Publication
- Apr 16, 2020
A Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein-Ligand Binding
Miller, et al. ChemRxiv, 2020, Preprint, 1- Publication
- Oct 17, 2018
A Comprehensive Ligand Based Mapping of the ‘2 Receptor Binding Pocket
Rhoades, et al. Med Chem., 2014, 10(1), 98 – 121- Publication
- Feb 15, 2017
Identification of Novel Fluorescent Probes Preventing PrPSc Replication in Prion Diseases
Zaccagnini, et al. European Journal of Medicinal Chemistry, 2017, 127 (15), 859-873- Publication
- Aug 26, 2016
Discovery and Structure Activity Relationships of a Highly Selective Butyrylcholinesterase Inhibitor by Structure-Based Virtual Screening
Dighe, et al. J. Med. Chem., 2016, 59, 7683-7689- Publication
- Sep 8, 2015
IDSite: An Accurate Approach to Predict P450-Mediated Drug Metabolism
Li, et al. J. Chem. Theory Comput., 2011, 7, 3829-3845- Publication
- Sep 8, 2015
Discovery of Thienoquinolone Derivatives as Selective and ATP Non-Competitive CDK5/p25 Inhibitors by Structure-Based Virtual Screening
Chatterjee, et al. Bioorg. Med. Chem., 2014, 22, 6409-6421- Publication
- Sep 8, 2015
Optimization, Pharmacophore Modeling and 3D-QSAR Studies of Sipholanes as Breast Cancer Migration and Proliferation Inhibitors
Foudah, et al. Eur. J. Med. Chem., 2014, 73, 310-324- Publication
- Sep 8, 2015
Multiple e-pharmacophore modeling combined with high-throughput virtual screening and docking to identify potential inhibitors of ‘-Secretase(BACE1)
Palakurti, et al. Mol. Inf., 2013, 32, 385-398- Publication
- Sep 8, 2015
PHASE: A Novel Approach to Pharmacophore Modeling and 3D Database Searching
Dixon, et al. Chem. Biol. Drug Des., 2006, 67, 370-372- Publication
- Sep 8, 2015
PHASE: A New Engine for Pharmacophore Perception, 3D QSAR Model Development, and 3D Database Screening. 1. Methodology and Preliminary Results
Dixon, et al. J. Comput. Aided Mol. Des., 2006, 20, 647-671- Publication
- Sep 8, 2015
3D QSAR Methods: Phase and Catalyst Compared
Evans, et al. J. Chem. Inf. Model, 2007, 47, 1248-1257Latest insights from Extrapolations blog
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.
Other Resources