Smart Biotech Scientist | Master Bioprocess CMC Development, Biologics Manufacturing & Scale-up, Cell Culture Innovation
The Go-to Podcast for Biotech Scientists Who Want to Master Biopharma CMC Development and Biomanufacturing.
**TOP 10 LIFE SCIENCES PODCAST**
Are you ready to simplify bioprocess development and scale with confidence to reduce time to market?
Are you feeling overwhelmed by the complexity and guesswork of biologics development and biomanufacturing?
Do you wish you had more time to enjoy the beauty of science, without worrying about failing your cell culture process development and commercialization?
There's a way to simplify and streamline so you can remove complexity, skip trials and errors, deliver your groundbreaking therapy to clinics and market without delay, and still enjoy every single step.
I'm David Brühlmann, a biotech entrepreneur and strategic advisor who partners with C-level biopharma leaders to tackle one of our industry's biggest challenges: reducing manufacturing costs to make lifesaving therapies accessible to more patients worldwide.
Through engaging conversations with industry pioneers and practical insights from the trenches, this podcast tackles the critical challenges in bioprocess CMC development and manufacturing of recombinant proteins and cell and gene therapy products. We cut through the complexity so you can:
- Master bioprocess development with confidence and clarity
- Excel at scale-up and manufacturing of biologics
- Transform your innovative therapy and manufacturing technology into market-ready solutions faster
- Optimize manufacturing costs without compromising quality
- Make data-driven decisions that reduce the risk of failure
I can’t wait to help you do biotech the smart way.
Grab a cup of coffee and your favorite notebook and pen. Now is the time to take your bioprocessing game to the next level.
Ready to transform your biomanufacturing journey? Let's dive in!
Next Steps:
Book a free call to reduce biomanufacturing costs and make lifesaving therapies more accessible: https://bruehlmann-consulting.com/call
🧬 Ready to accelerate your IND timeline? Get the proven CMC Dashboard that's guided successful mAb programs from chaos to submission: https://stan.store/SmartBiotech/p/cmc-dashboard-for-biotech-founders
Accelerate biologics development with expert guidance: https://bruehlmann-consulting.com
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Visit the Website: https://smartbiotechscientist.com
Email us: hello@bruehlmann-consulting.com
Smart Biotech Scientist | Master Bioprocess CMC Development, Biologics Manufacturing & Scale-up, Cell Culture Innovation
214: From Developability to Formulation: How In Silico Methods Predict Stability Issues Before the Lab with Giuseppe Licari - Part 2
Computational methods can predict stability issues before the lab. But how do you actually implement these approaches in your formulation workflow? From excipient selection to long-term stability prediction, in silico tools are transforming how biotech teams develop robust formulations while reducing costly trial-and-error cycles.
In Part 2, Giuseppe Licari, Principal Scientist in Computational Structural Biology at Merck KGaA, returns to share practical implementation strategies for integrating computational methods into biologics formulation development. Giuseppe reveals how molecular dynamics simulations guide excipient selection, where current methods hit their limits, and how emerging AI capabilities are expanding what's possible in formulation prediction.
Whether you're at a well-resourced pharma company or a lean startup, Giuseppe offers actionable guidance for leveraging computational tools to predict protein behavior, optimize formulations, and accelerate your development timeline.
Topics covered:
- Predicting protein aggregation and excipient interactions before manufacturing (00:45)
- Using molecular dynamics to understand protein behavior over time and in different environments (03:03)
- The interplay between computational predictions and experimental stability studies (04:49)
- The limitations of current in silico methods for predicting long-term stability (05:08)
- Emerging use of AI and machine learning to predict protein properties and improve developability (06:36)
- Future possibilities: Generative AI for protein design and formulation prediction (08:06)
- Advice for small companies: leveraging software-as-a-service and external partners to access computational tools (09:55)
- The impact of increasing computational power on the field's evolution (11:12)
- Most important takeaway: being open and curious about new computational techniques in biotech formulation (12:08)
Discover how to bridge computational predictions with experimental validation, navigate the current limitations of in silico stability forecasting, and position your organization to benefit from AI-driven formulation development, regardless of your resource constraints.
Connect with Giuseppe Licari to continue the conversation and explore how computational approaches can solve your formulation challenges before you ever step into the lab.
Connect with Giuseppe Licari:
LinkedIn: www.linkedin.com/in/giuseppe-licari
Next step:
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