5 Biotech Companies you Should know in Berlin

| March 8, 2016

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Yes, it’s less famous for this aspects but it’s actually very comparable to Munich, Cambridge or Paris. However, we made a Labiotech Tour documentary on the Northern Germany biotech industry (which featured heavily in Berlin) and I’ve now tried to select 5 Berlin-based Biotech companies that everybody in Europe (and in the rest of the world) should know.

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Turbine.AI

Turbine models how cancer works on the molecular level and tests millions of potential drugs on it with artificial intelligence.Turbine’s in silico experiments can test an almost infinite number of interventions on a Simulated Cell that reflects the molecular diversity of cancer cells accurately.

OTHER ARTICLES

Better Purification and Recovery in Bioprocessing

Article | August 2, 2021

In the downstream portion of any bioprocess, one must pick through the dross before one can seize the gold the biotherapeutic that the bioprocess was always meant to generate. Unfortunately, the dross is both voluminous and various. And the biotherapeutic gold, unlike real gold, is corruptible. That is, it can suffer structural damage and activity loss. When discarding the dross and collecting the gold, bioprocessors must be efficient and gentle. They must, to the extent possible, eliminate contaminants and organic debris while ensuring that biotherapeutics avoid aggregation-inducing stresses and retain their integrity during purification and recovery. Anything less compromises purity and reduces yield. To purify and recover biotherapeutics efficiently and gently, bioprocessors must avail themselves of the most appropriate tools and techniques. Here, we talk with several experts about which tools and techniques can help bioprocessors overcome persistent challenges. Some of these experts also touch on new approaches that can help bioprocessors address emerging challenges.

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Translating Pharmacomicrobiomics: Three Actionable Challenges/Prospects in 2020

Article | February 24, 2020

The year 2020 marks a decade since the term pharmacomicrobiomics was coined (Rizkallah et al., 2010) to crystallize a century-old concept of mutual interactions between humans, drugs, and the microbial world. The human microbiome, with its immense metabolic potential that exceeds and expands the human metabolic capacities, has the ability to modulate pharmacotherapy by affecting both pharmacokinetics and pharmacodynamics of drug molecules:

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Making Predictions by Digitizing Bioprocessing

Article | April 20, 2021

With advances in data analytics and machine learning, the move from descriptive and diagnostic analytics to predictive and prescriptive analytics and controls—allowing us to better forecast and understand what will happen and thus optimize process outcomes—is not only feasible but inevitable, according to Bonnie Shum, principal engineer, pharma technical innovation, technology & manufacturing sciences and technology at Genentech. “Well-trained artificial intelligence systems can help drive better decision making and how data is analyzed from drug discovery to process development and to manufacturing processes,” she says. Those advances, though, only really matter when they improve the lives of patients. That’s exactly what Shum expects. “The convergence of digital transformation and operational/processing changes will be critical for the facilities of the future and meeting the needs of our patients,” she continues. “Digital solutions may one day provide fully automated bioprocessing, eliminating manual intervention and enabling us to anticipate potential process deviations to prevent process failures, leading to real-time release and thus faster access for patients.” To turn Bioprocessing 4.0 into a production line for precision healthcare, real-time release and quickly manufacturing personalized medicines will be critical. Adding digitization and advanced analytics wherever possible will drive those improvements. In fact, many of these improvements, especially moving from descriptive to predictive bioprocessing, depend on more digitization.

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Pfizer, BioNTech Plan Clinical Trial for COVID-19 mRNA Vaccine Candidate

Article | April 9, 2020

Pfizer and BioNTech plan to begin human clinical trials on their lead COVID-19 therapeutic candidate, an mRNA vaccine, by the end of this month, the companies said today, through a collaboration that could generate up to $748 million for the German biotech. The companies announced plans last month to partner on BNT162, the first treatment to emerge from BioNTech’s accelerated COVID-19-focused development program, “Project Lightspeed.” BioNTech and Pfizer established collaboration intended to draw upon BioNTech’s proprietary mRNA vaccine platforms, and Pfizer’s expertise in vaccine research and development, regulatory capabilities, and global manufacturing and distribution network.

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Spotlight

Turbine.AI

Turbine models how cancer works on the molecular level and tests millions of potential drugs on it with artificial intelligence.Turbine’s in silico experiments can test an almost infinite number of interventions on a Simulated Cell that reflects the molecular diversity of cancer cells accurately.

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