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- Feb 25, 2017
Investigating Protein-Peptide Interactions Using the Schr’dinger Computational Suite
Bhachoo, et al. Methods Mol Biol., 2017, 1561, 235-254
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- Feb 22, 2017
Computational Tool for Fast In silico Evaluation of hERG K+ Channel Affinity
Chemi, et al. Front. Chem., 2017, 5 (7), 1-9
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Identification of Novel Fluorescent Probes Preventing PrPSc Replication in Prion Diseases
Zaccagnini, et al. European Journal of Medicinal Chemistry, 2017, 127 (15), 859-873
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Acylguanidine Beta Secretase 1 Inhibitors: A Combined Experimental and Free Energy Perturbation Study
Ker’nen, et al. J. Chem. Theory Comput., 2017, 13, 1439-1453
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- Nov 23, 2016
Accurate Modeling of Scaffold Hopping Transformations in Drug Discovery
Wang, et al. J. Chem. Theory Comput., 2017, 13 (1), 42-54
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- Nov 8, 2016
Relative Binding Free Energy Calculations Applied to Protein Homology Models
Cappel, et al. J. Chem. Inf. Model., 2016, 56 (12), 2388-2400
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- Oct 31, 2016
Automated Protocol for Large-Scale Modeling of Gene Expression Data
Hall, et al. J. Chem. Inf. Model., 2016, 56 (11), 2216-2224
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- Sep 19, 2016
AutoQSAR: An Automated Machine Learning Tool for Best-Practice QSAR Modeling
Dixon, et al. Future Med. Chem., 2016, 8 (15), 1825-1839
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- Aug 30, 2016
Predicting Binding Affinities for GPCR Ligands Using Free-Energy Perturbation
Lenselink, et al. ACS Omega, 2016, 1, 293-304
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- Jul 13, 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
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- May 2, 2016
Simple Predictive Models of Passive Membrane Permeability Incorporating Size-Dependent Membrane-Water Partition
Leung, et al. J. Chem. Inf. Model., 2016, 56(5), 924-929
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- Apr 22, 2016
WScore: A flexible and accurate treatment of explicit water molecules in ligand−receptor docking
Murphy, et al. J Med Chem, 2016, 59(9), 4364-4384
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- Apr 23, 2025
Computational strategies for discovering and optimizing RNA- and DNA-targeting 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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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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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.
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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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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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Predicting Resistance to Small Molecule Kinase Inhibitors
Nagarajan, et al. Journal of Chemical Information and Modeling, 2025, Preprint
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- 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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