- Publication
- May 6, 2015
How To Deal with Multiple Binding Poses in Alchemical Relative Protein-Ligand Binding Free Energy Calculations
Kaus, et al. J. Chem. Theory Comput., 2015, 11(6), 2670-2679
- Publication
- Mar 18, 2015
On the Rational Design of Zeolite Clusters
Migues, et al. ACS Catal., 2015, 5, 2859-2865
- Publication
- Mar 16, 2015
Additional disulfide bonds in insulin: Prediction, recombinant expression, receptor binding affinity, and stability
Vinther, et al. Protein Sci, 2015, 24(5), 779-88
- Publication
- Mar 4, 2015
Interactions Between Hofmeister Anions and the Binding Pocket of a Protein
Fox J.M.; Kang K.; Sherman W.; H’roux A.; Sastry G.M.; Baghbanzadeh M.; Lockett .M.R.; and Whitesides G.M., J. Am. Chem. Soc., 2015, 137 (11), 3859-3866
- Publication
- Feb 25, 2015
Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by way of a Modern Free Energy Calculation Protocol and Force Field
Wang, et al. J. Am. Chem. Soc., 2015, 137, 2695-2703
- Publication
- Jan 19, 2015
Selection of Nanobodies that Block the Enzymatic and Cytotoxic Activities of the Binary Clostridium Difficile Toxin CDT
Unger, et al. Scientific Reports, 2015, 5(7850), 1-10
- Publication
- Jan 15, 2015
Pyrido[4,3-e][1,2,4]triazolo[4,3-a]pyrazines as Selective, Brain Penetrant Phosphodiesterase 2 (PDE2) Inhibitors
Rombouts, et al. ACS Med. Chem. Lett., 2015, 6(3), 282-286
- Publication
- Nov 19, 2014
Exploring Conformational Search Protocols for Ligand-based Virtual Screening and 3-D QSAR Modeling
Cappel, et al. J. Comput. Aided Mol. Des., 2015, 29(2), 165-182
- Publication
- Oct 30, 2014
Physics-Based Enzyme Design: Predicting Binding Affinity and Catalytic Activity
Sirin, et al. Proteins, 2014, 82(12), 3397-409
- Publication
- Oct 13, 2014
Sequence Selectivity of Macrolide-Induced Translational Attenuation
Davis, et al. PNAS, 2014, 111(43), 15379-15384
- Publication
- Sep 28, 2014
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 22, 2014
Mechanistic and Computational Studies of the Reductive Half-Reaction of Tyrosine to Phenylalanine Active Site Variants of d-Arginine Dehydrogenase
Gannavaram, et al. Biochemistry, 2014, 53(41), 6574-6583
Webinars
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Life Science
- Apr 23, 2025
Computational strategies for discovering and optimizing RNA- and DNA-targeting molecules
In this webinar, we will showcase how Schrödinger’s advanced computational solutions are enabling accurate and efficient targeting of RNA and DNA systems by small molecules.
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Life Science
- Apr 16, 2025
Schrödinger デジタル創薬セミナー: Into the Clinic~計算化学がもたらす創薬プロセスの変貌~第16回
Accelerating protein degrader discovery: Computational strategies for degrader design and optimization
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Materials Science
- Apr 8, 2025
Accelerating pharmaceutical formulations using machine learning approaches
In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.
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BACE1 Inhibitor Design Using Free Energy Perturbation
Prepare, run, and analyze a free energy perturbation (FEP) simulation for a series of BACE1 inhibitors using FEP+.
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Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking
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Introduction to MD Simulations with Desmond
Prepare, run, and perform simple analysis on an all-atom MD simulation with Desmond.
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Life Science
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
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Life Science
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Life Science
A Sneak Peek into Renumbering Residues and the Project Table in BioLuminate
The sixth video in the Getting Going with Maestro BioLuminate Video Series: renaming chains and residues, the Project Table.
Publications
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- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210
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- Feb 28, 2025
Exploiting solvent exposed salt-bridge interactions for the discovery of potent inhibitors of SOS1 using free-energy perturbation simulations
Leffler, et al. ACS Medicinal Chemistry Letters, 2025
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- Feb 20, 2025
Predicting Resistance to Small Molecule Kinase Inhibitors
Nagarajan, et al. Journal of Chemical Information and Modeling, 2025, Preprint
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Life Science
- Oct 29, 2024
20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS
Glide has long set the gold standard for commercial molecular docking software due to its robust performance in both binding mode prediction and empirical scoring tasks, ease of use, and tight integration with Schrödinger’s Maestro interface and molecular discovery workflows.
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Life Science
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Latest insights from Extrapolations blog
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
The complexity and size of drug candidates has grown in recent years as scientists pursue novel targets once considered undruggable.
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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.
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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.
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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.
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