- Publication
- Sep 3, 2024
In silico enabled discovery of KAI-11101, a preclinical DLK inhibitor for the treatment of neurodegenerative disease and neuronal injury
Lagiakos H.R., et al. ChemRxiv, 2024, Preprint- Publication
- Apr 23, 2024
FEP augmentation as a means to solve data paucity problems for machine learning in chemical biology
Burger PB, et al. J. Chem. Inf. Model., 2024, 64(9), 3812–3825- Publication
- Aug 12, 2024
A robust crystal structure prediction method to support small molecule drug development with large scale validation and prospective studies
Zhou, et al. ChemRxiv, 2024, Preprint- Publication
- Aug 15, 2024
Coarse-grained simulation of mRNA-loaded lipid nanoparticle self-assembly
Grzetic, et al. Molecular Pharmaceutics, 2024, 21, 9, 4747–4753- Publication
- Feb 21, 2024
Structure-guided engineering of immunotherapies targeting TRBC1 and TRBC2 in T cell malignancies
Ferrari, et al. Nat Commun, 2024, 15, 1583- Publication
- Feb 19, 2024
Structure–activity relationship of a pyrrole based series of PfPKG inhibitors as anti-malarials
Gilleran JA, et al. Journal of Medicinal Chemistry, 2024, 67(5), 3467–3503- Publication
- Feb 1, 2024
Enabling Structure-Based Drug Discovery Utilizing Predicted Models
Miller, et al. Cell, 2024, 187(3), 521-525- Publication
- Oct 25, 2023
Accurate quantum chemical reaction energies for lithium-mediated electrolyte decomposition and evaluation of density functional approximations
Debnath, et al. J. Phys. Chem. A, 2023, 127(44), 9178–9184- Publication
- Apr 1, 2024
Exploiting high-energy hydration sites for the discovery of potent peptide aldehyde inhibitors of the SARS-CoV-2 main protease with cellular antiviral activity
Carney, et al. Bioorganic & Medicinal Chemistry, 2024- Publication
- Dec 1, 2023
Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks
Schmitt, et al. MAbs, 2023, 15(1), 2169440- Publication
- Dec 15, 2023
Using AlphaFold and Experimental Structures for the Prediction of the Structure and Binding Affinities of GPCR Complexes via Induced Fit Docking and Free Energy Perturbation
Dilek Coskun, et al. J. Chem. Theory Comput., 2023- Publication
- Dec 5, 2023
Basic Residues at Position 11 of α-Conotoxin LvIA Influence Subtype Selectivity between α3β2 and α3β4 Nicotinic Receptors via an Electrostatic Mechanism
Haufe, et al. ACS Chem. Neurosci, 2023Case Studies
Events
- Sep 11th – Nov 6th, 2024
Computationally-Guided Drug Formulation Webinar Series
Join us this fall for Schrödinger’s Drug Formulation Webinar Series – five webinars in which we will explore how the latest computational modeling tools are impacting the various steps in the pharmaceutical formulation process.
- Sep 11th – Oct 8th, 2024
Webinar Series: From Molecules to Materials Applications
This webinar series “From molecules to Materials Applications” will delve into molecular modeling techniques and their transformative impact on Materials Science research using the Schrödinger Materials Science tools.
- Sep 24th-26th, 2024
AI/ML meets physics-based simulations: A new era in complex materials design
In this webinar, we will demonstrate the application of this combined approach in designing materials and formulations across diverse materials science applications, from battery electrolytes and fuel mixtures to thermoplastics and OLED devices.
Publications
- Publication
- Jun 24, 2024
Study of key residues in MERS-CoV and SARS-CoV-2 main proteases for resistance against clinically applied inhibitors nirmatrelvir and ensitrelvir
Krismer L et al., Npj Viruses, 2024, 2(1), 23- Publication
- Aug 23, 2024
Novel druggable space in human KRAS G13D discovered using structural bioinformatics and a P-loop targeting monoclonal antibody
Jungholm O et al., Scientific Reports, 2024, 14(1), 19656- Publication
- Aug 20, 2024
Harnessing free energy calculations to achieve kinome-wide selectivity in drug discovery campaigns: Wee1 case study
Knight J, et al. ChemRxiv, 2024, PreprintWebinars
- Sep 11th – Nov 6th, 2024
Computationally-Guided Drug Formulation Webinar Series
Join us this fall for Schrödinger’s Drug Formulation Webinar Series – five webinars in which we will explore how the latest computational modeling tools are impacting the various steps in the pharmaceutical formulation process.
- Sep 12, 2024
Accelerated in silico discovery of SGR-1505: A potent MALT1 allosteric inhibitor for the treatment of mature B-cell malignancies
We are delighted to bring you another webinar in our series Stories of Drug Hunting in a Digital Age – featuring conversations with veteran drug hunters who share their unique drug discovery stories, from idea to development candidate.
- Sep 11, 2024
Characterizing small drug-like molecules with automated computational spectra prediction
In this presentation, we will present examples that demonstrate the use of Jaguar Spectroscopy to typical modeling scenarios involving flexible drug-like molecules.
White Papers
Latest 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.