Alignments and superposition / Loop and linker modeling / Protein-Protein docking / Protein-Ligand Interaction Fingerprints (PLIFs) / Epitope analysis / Homology modeling / Solubility analysis / QSAR modeling / 2D hot spot mapping

This workshop covers essential methods for aligning protein sequences, superposing structures, loop modeling, building fusion protein models, and conducting protein-protein docking. Participants will learn techniques for grafting and refining antibody CDR loops, as well as using a knowledge-based approach to scFv fusion protein modeling with the Linker Modeler application. The session will also cover protein-protein docking of an antibody to an antigen and epitope mapping. Finally, the workshop will guide participants through a complete workflow for generating a QSAR model to predict and analyze protein/biologics solubility.

Protein-Ligand Interaction Analysis / Protein-Ligand Docking / Pharmacophore Modeling / High-throughput Docking / Template-Based Docking / Covalent Docking

This workshop will explore some variants of protein-ligand docking to predict the binding of small-molecule structures to a protein target. Pharmacophore-guided docking will be used to preserve key interactions, whereas template-based docking will efficiently position congeneric series of compounds in the binding site. Reaction-based covalent docking will generate poses for covalently bound ligands. Analysis of docking results and techniques to achieve high-throughput docking will also be addressed.

Scaffold Replacement / Ligand Growing / R-group Screening / Bioisosteric Transformations / Pharmacophore Modeling

This workshop will focus on applications for fragment-based drug design, covering methods such as scaffold hopping, fragment growing and R-group exploration to generate novel compound ideas, then optimize and score the structures in the pocket. The use of molecular descriptors and pharmacophore models to guide these computational methods will also be discussed. In addition, an SBDD method for generating closely related analogs through bioisosteric replacements will be presented.

Virtual screening compound libraries / Descriptors / Molecular Fingerprints / QSPR modeling / Database filtering / Pharmacophore modeling / Pharmacophore-guided docking / Template-based docking / Compound design

This workshop explores the suite of MOE applications for small-molecule virtual screening. Participants will learn to prepare small-molecule databases for screening, filter databases using substructure matching and property values, and build QSAR/QSPR models and fingerprint similarity models as screening filters. The session will cover creating and searching pharmacophore queries and performing small-molecule docking. A complete virtual screening workflow will be presented, including the creation of de novo structures using MOE’s Scaffold Replacement and Medchem transformation tools.

Scaffold replacement / Medicinal chemistry transformations / Fragment linking / R-group screening / Ligand growing / Pharmacophores / BREED / Fragment databases

This workshop focuses on fragment-based drug design tools in MOE. Participants will explore combinatorial fragment design and scaffold replacement in the receptor active site, along with strategies for fragment linking and growing. The session will also feature methods for generating closely related derivatives using medicinal chemistry transformations and the reaction-based combinatorial builder. Additionally, participants will learn to apply pharmacophores and 2D/3D descriptors to guide drug design processes.

Protein Engineering / Protein Properties / Protein Contacts / Developability / Molecular surfaces / Hot spot analysis / Antibody modeling

This workshop focuses on structure-based antibody design. Topics such as protein-protein interaction analysis, in silico protein engineering, affinity modeling, and antibody homology modeling will be covered. Participants will explore an antibody-antigen co-crystallized complex by generating and examining molecular surfaces and visualizing protein-protein contacts in 3D. Antibody properties will be evaluated using specialized protein property descriptors and protein patch analysis. The session will also cover the application of protein engineering tools for affinity and property optimization in the context of antibody developability. Additionally, participants will learn to optimize antibody homology models, including identifying glycosylation sites and their selective modification using a specialized MOE Project antibody database. The full workflow for high-throughput antibody homology modeling, from sequence to structure to property calculations for developability analysis, will be demonstrated.