To learn more and watch the webinar, go to:
https://insidescientific.com/webinar/optimize-the-value-of-your-research-investment-outsourcing-molecule-design/
Finding, designing, and optimizing new molecules can be easier, faster, and less expensive with computational chemistry. By predicting the physicochemical properties and biological activities of compounds prior to synthesis, you avoid unnecessary wet chemistry and save time and money.
In this webinar, Dr. Martin Slater discusses common challenges in medicinal chemistry, molecule design, and drug discovery that can be overcome with computational methods. He presents examples of how his team of expert modelers has worked with researchers in the pharmaceutical, agrochemical, and flavor & fragrance industries, including using a ligand-centric approach to discover a novel therapy for urinary tract infections, testing in silico hypotheses in vitro, a 3D clustering method to deliver diverse fragment libraries, and discovering and patenting a novel seed treatment.
Key Topics Include:
- Recognize new opportunities to use computational chemistry in your research
- Understand how molecular modeling expertise can provide intelligent and innovative solutions for your projects, without having to recruit in-house
- How computational methods can help to prioritize molecules most likely to succeed and avoid unnecessary wet chemistry
- How Cresset Discovery can help with strategic contributions, written proposals, flexible service packages, and project monitoring and reporting
33. Thank you for participating!
Before you go…
1. Complete the Survey
2. Use the ‘Ask a Question’ panel
3. Want to learn more? Explore the ‘Resources’ tab or go to:
www.cresset-group.com/discovery
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34. Thank you for participating!
CLICK HERE to learn more and
watch the webinar
Editor's Notes
Good morning, good afternoon and good evening everyone and welcome to this Scientist.com webinar titled Optimize the Value of Your Research Investment: Outsourcing Molecule Design. I’m Liam Sanio from the Events Team here at Scientist.com and I’ll be the host today. This webinar has been sponsored by Cresset Discovery, so a big thanks to them for helping to make this webinar possible.
We’re fortunate to have Dr. Martin Slater, Director of Cresset Discovery here with us today, who will discuss how outsourcing your computational chemistry can help you to deliver your corporate objectives, including strategic contributions, written proposals, flexible service packages and monitoring and reporting on project progress.
Headings include :
Overview
Why outsource?
Expert molecular modeling advantage
Case examples
Working with Cresset Discovery
Drug discovery is complex optimization problem on one hand things getting harder – all low hanging fruit gone and legislation making it increasingly difficult more of a role for measures to increase efficiency in all areas
Large pharma client experience
Contrast with Small biotecs / virtual companies
Recruitment and retention of FTEs
Modelers, Chemists, Biologists
Overheads
Consumables
Equipment
Lab space
FTEs
Less chemistry, Expert modelers, Software, CPUs
latter point idea generation
Means this can be data driven and hypothesis driven approaches
Has to be more efficient than random or blind
What we do it with
What we do
Cresset Discovery has experience working on projects within a variety of industries- Pharmaceutical, biotech, ag, flavor and fragrance, chemical and also working together with academic groups on projects. We have worked with large pharma and small startups and we have a breath of in house expertise- computational and medicinal chemists, structural biologists, informaticians, programming and IT expertise as well as project management
So, why should you outsource your FEP project to Cresset Discovery?
We believe that to successfully use FEP, computational chemists will need substantial past experiences with FEP methods
We have the in-house proven skill and expertise to properly set up these calculations and deliver useful results.
We have developed our inhouse method based on proven published methods (The
underlying workflow is built on top of the software Sire, SOMD, BioSimSpace, and
OpenMM and uses the AMBER 14SB and GAFF2.1 force fields.) and we have tested
And applied our methods to practical drug discovery problems.
Serious bacterial infections represent a worldwide threat, due mainly to the emergence of antibiotic-resistant bacteria for which there are limited therapies. Urinary Tract Infections (UTIs) are among the most prevalent bacterial infections, affecting 150 million people per year, with 75% of infections occurring due to uropathogenic E. coli. Research from the University of Cambridge (Dr Ashraf Zarkan & Dr David Summers, Department of Genetics) highlighted the inhibition of an E. coli enzyme as a plausible route to reduce pathogenicity and increase antibiotic effectiveness in UTIs.
Challenging Academic drug discovery -
Big group of modelers larger than most pharma and CRO companies
If you have interest in learning about Cresset, Cresset Discovery Consultancy and Cresset software , you can subscribe to our monthly newsletter which is filled with interesting articles and useful information.
Again, Thank you for attending this webinar today.
For a free confidential discussion you can reach us through this link or email address
Thank you for your time and attention. We are happy to answer any questions.
Thank you Martin for sharing your insights, it’s been a pleasure having you with us!
[Martin responds]
A big thanks also to the audience here for participating, and last but not least we’d like to thank the sponsor, Cresset Discovery. We now invite you to take a moment to share your feedback on the survey - we do read all of your comments and appreciate your input. If you still have a question, it’s not too late, feel free to send it in now and we’ll forward it along to Dr. Slater following the event. If you’re interested in learning more about Cresset Discovery Services, check out the resources panel shaking here.
In closing, we hope you enjoyed this Scientist.com webinar, and we’ll see you again next time! Have a great day everyone.