Macs in Chemistry

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Workshop on Computational Tools for Drug Discovery

Workshop on Computational Tools for Drug Discovery (with SCI).
10 April 2019, The Studio, Birmingham.

Details of the workshops

Attendees will be able to choose from 4 of 6 sessions.

Optibrium Guided multi-parameter optimisation of 2D and 3D SAR

In this workshop, we will explore the concept of multi-parameter optimisation (MPO) and its application to quickly target high-quality compounds with a balance of potency and appropriate absorption, distribution, metabolism and excretion (ADME) properties. We will further illustrate how this concept can be combined with an understanding of 2D and 3D structure-activity relationships (SAR) to guide the design of new, improved compounds.

The workshop will be based on practical 'hands-on' examples using our StarDrop™ software and all participants will get a 1-month free trial license to use StarDrop following the workshop. For more information on StarDrop, please visit our website or watch some videos of StarDrop in action at

Cresset Next generation structure-based design with Flare

Learn how simple structure-based design can be within small molecule discovery projects. The workshop will cover ligand design in the protein active site, Electrostatic Complementarity™ maps and scores, ensemble docking of ligands with Lead Finder, calculations of water stability and locations using 3D-RISM, energetics of ligand binding using WaterSwap and use of Python extensions. Applications you will use: Flare™ , Lead Finder™.

Dotmatics Data visualisation and analysis with Dotmatics

Dotmatics offers a comprehensive scientific software platform for knowledge management, data storage, enterprise searching and reporting. The focus of the workshop will be the Dotmatics visualisation and data analysis software in small molecule drug discovery workflows around compound selection from vendor catalogues and analysis of lead optimisation datasets as typically found in drug discovery.

BioSolveIT Fast – Visual – Easy – computer-aided drug design for all chemists

In this workshop you will learn - hands-on - to use modern software for hit-finding, hit-to-lead and lead optimization. We will walk you around the drug discovery cycle and show you: how to assess your protein and discover a binding site; how simple modifications to the bound molecule affect the binding affinity; how to replace a scaffold or explore sub-pockets for improved binding; how to keep all your key ADME-parameters in check, while you optimize your lead; and last but not least how to quickly find new starting points in a giant 3.8 billion vendor catalog of compounds ready for purchase.

Instead of dry theory, we will explain those use cases based on real-world scenarios and interesting targets such as Thrombin, BTK, Endothiapepsin and BRD4. Bring your own laptop to try this out for yourself right away and receive the software as well as a free trial license on top. The Software tools are called:

SeeSAR – "modeling for all chemists" and REAL Space Navigator – "the world’s largest searchable catalog of compounds on demand".

Knime An interactive workflow for hit list triaging

In this workshop I will introduce a workflow built using the open source KNIME Analytics Platform for doing hit-list triaging and selecting compounds for confirmatory assays or other followup testing. We will use a real-world HTS dataset and work through reading the data in, flagging molecules that are likely to have interfered with the assay, manual "rescue" of compounds removed by the filters, and selecting a compound subset that covers the chemical diversity of the hits yet still allows learning some SAR from subsequent experiments. Participants will be provided with both the dataset and the workflow used during the workshop so that they can adapt it to their own needs.

ChemAxon Computational intelligence driven drug design

The most recent era of vast data sources, rapid data processing and model building enables drug designers to propose high quality structures in ideation phase in lean ("fail-early") discovery cycles. The goal of this workshop is to demonstrate an integrated system (Marvin Live) to:

freely create, store and manage ideas utilize computational models such as phys-chem properties, 3D alignment, predictive models (created in KNIME) exploit existing evidences (MMP, various data sources) during design session. The dynamic plugin system facilitates balancing attributes through comparison and triage of hypothetical compounds on a single interface.

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