MolSoft Events: Workshops, Webinars and Meetings

Webinar Archives | User Group Meeting Archives.

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Next-Generation Drug Discovery: MolSoft ICM Fall Webinar Series

Join MolSoft experts this fall for an intensive, practical series designed to transform your computational drug discovery pipeline. From structure-aware generative AI to high-throughput peptide engineering and GPU-accelerated molecular dynamics, learn actionable workflows to accelerate your hit-to-lead programs.


September 24th 2026 | Next-Generation Molecular Design Structure Based Generative AI

Featured Tools: groupGen & Ligand AIDE

Registration: [link coming soon]

Overview

Many AI tools generate chemical ideas without considering the 3D binding site, often yielding chemically inactive and impossible structures. Discover how MolSoft’s structure-aware AI operates directly inside the 3D binding pocket, combining 3D graph convolutional neural networks with physics-based docking to deliver high-affinity, synthetically feasible leads.

What You Will Learn


October 8th 2026 | Peptide Modeling, Optimization, and Docking

Featured Tools: ICM Peptide Mode, 3D Ligand Editor, _dockScan

Registration: [coming soon]

Overview

Peptides are one of the fastest-growing therapeutic modalities, but modeling their flexibility and complex chemical modifications requires specialized tools. Learn how to master sequence engineering, conformational stabilization, and high-throughput peptide screening in ICM.

What You Will Learn


October 22nd 2026 | GPU-Accelerated Molecular Dynamics in ICM

Featured Tools: OpenMM Engine Integration, ICM Conformational Stacks

Registration: [coming soon]

Overview

Static crystal structures only tell part of the story. Unlock the power of GPU-accelerated molecular dynamics (MD) to evaluate pocket flexibility, refine binding poses, and eliminate false positives from virtual screening hits—without leaving the ICM environment.

What You Will Learn


Who Should Attend: Computational chemists, medicinal chemists, structural biologists, and biopharma researchers looking to upgrade their structural modeling and drug design toolkits.