3D structural modeling
for clinicians
Deep dive in how drivers of disease look on a molecular level and how changes to these drivers impact the selection of treatment.
Information
This is designed to explain how mutations will impact the behaviour of a cancer driving protein (the target) and its susceptibility to drugs. Our target audience is clinicians who wish to know how to use modeling approaches to select from clinically available drugs. Attendees will be shown how to visualize the patient’s protein structure using information already typically available in the clinic and taught how to evaluate the interactions made between the drug and the target. Using publicly available databases and freeware visualisation software, the attendees will also be shown how to create models of mutated targets and to assess the impact of these mutations on the interaction between the drug and its target. Examples of software solutions to model these changes, ranging from the simplistic to the complex will also be discussed.
Why attend this?
It will provide you with an understanding of how the drivers of disease look on a molecular level and how changes to these drivers impact the selection of treatment. The potential to explain how drug efficacy may be impacted by gene mutation is also of potential benefit in explaining treatment choices to patients. This course will be available four times yearly.
Items discussed
- Successful use cases of molecular modeling to guide treatment choice
Publicly available (freeware) software and databases for drug:target visualization - How drugs interact with their target on a molecular scale
- How to create models of patient mutations
- How to analyze the impact of mutations on protein behavior and drug interaction
Medically accredited
Protyon’s course has been medically accredited by four Dutch medical associations: NVALT, NVVP, NVRO, VKGN.
Scientific papers
- Link to a clinical study and so onwards
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Talk to us
Feel free to reach out to us and book an appointment with one of our experts in the field of molecular modeling. We are here to support you.
