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

This workshop covers approaches for structure-based antibody design and includes protein-protein interactions analysis, in silico protein engineering, affinity modeling and antibody homology modeling. The interaction of a co-crystallized antibody-antigen complex will be studied by generating and examining molecular surfaces and visualizing protein-protein contacts in 3D. Antibody properties will be evaluated using specialized calculated protein property descriptors and analyzing protein patches. The application of protein engineering tools for affinity and property optimization of antibodies in the context of developability will be studied. Antibody homology modeling optimization examples will include identifying glycosylation sites and their selective modification using a specialized MOE Project antibody database. All the steps necessary for high throughput antibody homology modeling workflow from sequence to structure to property calculations for developability analysis will be described.

Antibody structure prediction / Conformational ensembles / Descriptor calculations / Property prediction / Developability / Cloud computing

Predicting potential liabilities such as aggregation or viscosity is a key step in monoclonal antibody development. Computational property prediction methods are routinely used in the selection and optimization of candidate antibodies. High-quality property prediction involves prediction of ensembles of 3D structures at specified pH to reduce sensitivity to single conformational states. We will present 3dpredict/Ab, a solution that enables ensemble-based predictions of antibody developability descriptors and putative liabilities. 3dpredict/Ab allows for out-of-the-box SaaS automation and integration of such complex simulations of hundreds or thousands of sequences, making them accessible and efficient.

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 methods for aligning protein sequences, superposing structures, loop modeling, building fusion protein models, and conducting protein-protein docking. In particular, a method for grafting and refining antibody CDR loops and using a knowledge-based approach to scFv fusion protein modeling using the Linker Modeler application will be described. Protein-protein docking of an antibody to an antigen and epitope mapping will also be discussed. Finally, a complete workflow for generating a QSAR model for predicting and analyzing protein/biologics solubility will be described.

Protein-ligand interactions / Protein-ligand docking / Pharmacophore modeling / Template-based docking / Scaffold replacement / R-group exploration / Bioisosteric transformations / Ligand properties / PLIFs

This workshop presents common molecular modeling and design techniques for identifying, optimizing, and prioritizing small-molecule drug candidates. The workshop begins by describing structure preparation and pocket analysis to understand key protein-ligand interactions. Participants will explore template-based docking of congeneric series and pharmacophore-guide docking (to preserve key interactions) to predict how small molecules bind to a protein target. This workshop also presents a series of de novo fragment-based drug design applications, focusing on scaffold hopping and fragment growing methods to generate novel compound ideas, optimize structures in the pocket, and score them. It also discusses the use of molecular descriptors, protein-ligand interaction fingerprints (PLIFs), and pharmacophore models to guide the drug design process. Finally, a method for generating closely related analogs through bioisosteric replacements is presented.

MOEsaic / Matched Molecular Pairs / R-group analysis / Similarity and substructure searching / Multi-parameter optimization / Free-Wilson analysis / Combinatorial Library Enumeration / Multi-component reactions sketch / Reagent catalogs filtering

This workshop explores some essential ligand-based methods for guiding drug discovery projects. Participants will learn how to efficiently use MOEsaic to perform SAR analyses of compound datasets, using approaches such as R-group profiling and matched molecular pairs (MMP) analysis, to identify relationships within chemical series. The session highlights computational strategies for extracting meaningful insights from structure-activity data to support informed decision-making in drug design. The workshop also introduces the CLE application as a powerful tool for streamlining the search of available reagent catalogs using multi-component chemical reactions. It demonstrates how to apply a reaction both as a query and as a transformation to efficiently enumerate all possible product combinations. The session covers methods for inspecting, filtering, and exporting reagents and products, including catalog IDs, for synthesis.

Sequence alignments / Structure superposition / Multimer alignments and superposition / Homology modeling / Loop modeling / Loop conformational searching

This workshop covers key techniques in protein alignments, superpositions, and homology modeling using MOE. Participants will explore the complete sequence-to-structure workflow in homology modeling, including template searching, query alignment, model building, and refinement, as well as methods for assessing model quality. The session will also delve into protein loop refinement using the Loop Modeler and LowModeMD conformational searching. Protein contacts will be evaluated following the alignment and superposition of protein multimers.

Pharmacophore Modeling / Docking / Fragment-Based Design / Scaffold Replacement / R-Group Screening / Project Search / Protein-Ligand Interaction Fingerprints (PLIF)

This workshop explores advanced structure-based drug design (SBDD) workflows used in drug discovery projects. Participants will learn about key topics, including pharmacophore query generation, protein-ligand docking, scaffold replacement, and R-group screening. The session will cover the application of pharmacophore searching in drug design, as well as methods for querying 3D project databases. Additionally, participants will generate and analyze protein-ligand interaction fingerprints (PLIF) to support their design strategies.

Pharmacophore Modeling / Docking / Fragment-Based Design / Scaffold Replacement / R-Group Screening / Project Search / Protein-Ligand Interaction Fingerprints (PLIF)

This workshop explores advanced structure-based drug design (SBDD) workflows used in drug discovery projects. Participants will learn about key topics, including pharmacophore query generation, protein-ligand docking, scaffold replacement, and R-group screening. The session will cover the application of pharmacophore searching in drug design, as well as methods for querying 3D project databases. Additionally, participants will generate and analyze protein-ligand interaction fingerprints (PLIF) to support their design strategies.

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.

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.

Molecular surfaces and maps / Ligand interactions / Torsion Analysis / Ligand optimization / Capturing design ideas / Docking / Protein alignments and superposition

This workshop covers MOE applications for interactive structure-based design. Examples include active-site visualization, protein-ligand contact analysis, and ligand modification/optimization in the receptor pocket. Important milestones will be recorded through Capture for review and to allow for sharing the design session with colleagues. The docking module and its application to assess ligand flexibility will be discussed. A protocol for aligning and superposing protein complexes in the context of protein selectivity will be studied.

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

This workshop covers the suite of MOE applications which can be applied to small-molecule virtual screening. Topics include the preparation of small molecule databases for virtual screening, filtering databases based on substructure matching and property values, building QSAR/QSPR models and fingerprint similarity models as database filters, pharmacophore query creation and searching, and small-molecule docking. These tools are used in conjunction to present a complete virtual screening workflow. The creation of de novo structures using the MOE Scaffold Replacement and MOE Medchem transformation applications is also covered.

Structure preparation / Interaction analysis / Patch analysis / Protein contacts / Protein properties / Virtual mutagenesis

The webinar covers methods for analyzing and optimizing peptide-protein interactions in the active site. Using a model system consisting of MDMX protein and a peptide ligand modelled from p53, key contacts and interactions will be identified. Properties of the peptide ligand will be calculated, and opportunities for optimisation of the peptide will be derived by calculating protein patches and other properties for the receptor. We will then see how to mutate the residues in the peptide ligand to optimise binding, both by editing one residue at a time, and by "residue scanning" / virtual mutagenesis, which allows us to investigate the effects of multiple mutations together, thereby identifying beneficial changes.

Antibody Modeling / Capture Design Ideas / Antibody Pharmacophore Virtual Screening / Interactive Database Viewer Property Filter / Protein Docking Validation / Map 2D Protein Patch Differences / Visualize Ensemble Averages

CCG is pleased to announce the 2024 release of the Molecular Operating Environment, MOE. In this webinar we will present new features and enhancements in MOE 2024.06 for biologics applications.

Structure preparation / Sidechain rotamer exploration / Electron density maps / Solvent analysis with 3D-RISM

The webinar will cover methods for evaluating, analyzing and refining protein models derived from X -ray crystallographic data. Topics related to protein structure preparation and side-chain conformational analysis and placement will be discussed. Visualization and interpretation of electron density maps for assessing protein models will be described. The 3D-RISM method for predicting and refining the placement of solvent molecules in protein models will also be presented.

Forcefield Parametrization / Forcefield Development / Forcefield Validation / Atom-type Free Parametrization / AmberEHT Forcefield

A new methodology to determine bonded forcefield parameters is presented. A coordinate-free Hückel calculation is the basis for chemical perception and the results are used in combination with physical chemistry relationships to determine parameters for bond lengths, angles and torsions (with associated force constants). Comparisons to quantum mechanical torsion profiles are presented to validate the resulting parameterizations.