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Small Molecule Drug Discovery
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Introduction to Structure Preparation and Visualization
Preparation and visualization of ligand and protein structures in Maestro.
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Structure-Based Virtual Screening using Glide
Prepare receptor grids for docking, dock molecules and examine the docked poses
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Structure-Based Lead Optimization with Glide and MM-GBSA
Optimize binding poses, investigate core constraints, and rank-order a congeneric series of inhibitors
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Accounting for Protein Flexibility
Soften potentials in Glide, evaluate PDB temperature factors, align binding sites, and run induced-fit docking for side...
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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-Based Virtual Screening Using Phase
Create and analyze pharmacophore hypotheses from congeneric and diverse ligand sets
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Structure-Based Virtual Screening Using Phase
Create and analyze pharmacophore models generated from a protein-ligand complex
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Enumeration Tools for Library Design
Use enumeration tools to design libraries for lead optimization of a CDK2 inhibitor
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Covalent Docking for Virtual Screening and Pose Prediction
Dock a set of ligands that bind covalently to the receptor, using predefined or custom reaction chemistry.
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Rapid Screening of Chemical Libraries with GPU Shape
Perform rapid shape-based screening of a 20,000 compound chemical library with GPU Shape.
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Cross-Docking with IFD-MD
Using IFD-MD to generate a predicted binding pose of a known active compound using a holo crystal structure solved with...
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Absolute Binding Free Energy Perturbation to Postprocess Docking Results
Use Absolute Binding Free Energy calculations to enrich virtual screening results.
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WScore Evaluation of HSP90 Ligands
Build and use WScore models to evaluate Hsp90 ligands.
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Evaluating Large Ligand Libraries with Active Learning Glide
Set up a virtual screen to analyze a 1M ligand library from using Active Learning Glide.
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Training and Evaluating ADMET Models with DeepChem/AutoQSAR
Build and test two models for predicting aqueous solubility using a large dataset
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