Jörg Müller

In a recent poster presentation from #WADC, we utilized the characteristics of the membrane absorbers, Sartobind® S and Phenyl, for aggregate and #payload clearance while polishing an #ADC in a single chromatographic run. The application of the tandem membrane chromatography system presented a novel and efficient purification scheme that was realized during ADC manufacturing. Access the poster here: https://lnkd.in/g5YWiTyw #CDMO #CRO #bioconjugation #drugdevelopment

43

We will be presenting at the #qNMRsummit2024 in Europe - Buchs (St. Gallen) on September 19th at 2:50 pm. The topic of discussion will be "Biopolymer Assays: The Role of Benchtop #qNMR Spectroscopy in Quality Control Environments." Join us for this insightful conversation! #nanalysis #benchtoNMR #livetalk #NMRchat

14

#CMI0324: Research & #Innovation World’s Most Comprehensive Protein Search Engine: Transforming Protein Discovery Processes for Industrial #Biocatalysis and Pharma #InnovationPitch: Interview with Johannes Kabisch (CSO), Joseph Heenan (CEO) and Aron Eiermann (CTO), Proteineer GmbH In the rapidly evolving field of #bioinformatics, the ability to access and analyze protein data is crucial for scientific advancement. While established tools have been instrumental in allowing researchers to find protein sequences, there are limitations, particularly when it comes to accessing novel data. Proteineer has developed a new search engine designed to bridge these gaps and provide a more comprehensive approach to protein discovery. CHEManager: What inspired you to create a new protein search engine? Johannes Kabisch: The realization that there are huge amounts of untapped sequence data besides the most commonly used Genbank. Our vision with Proteineer became to expand the accessibility for our customers to these already existing, yet very difficult to access data. Our search engine goes beyond just sequence similarity, we also use structural similarity and search through many data sources including short read archives thus including novel proteins that have not been previously discoverable. In short, with our approach we find far more #protein sequences than any other search engine. CMI: How many proteins do you typically find in a search? Joe Heenan: The number of proteins we identify depends on the search criteria, but it’s usually over 100,000 results. While this number seems large and unmanageable for testing, it is good to have more results to filter them for preferable properties. Once we find a protein, we predict its structure and various useful properties, such as thermostability, optimal operating temperatures, and expected expression levels in E. coli. We as well assess the structural similarity to the query protein and perform clustering. (...) CMI: What challenges did you face in developing and providing your services? Aron Eiermann: One of the major challenges was scaling our processes, which require really massive computational power, to be cost-effective for a larger customer base. This was solved by collaborating with the largest computational providers like OVH, Google, Amazon and NVIDIA. Another unexpected challenge was that the customers were overwhelmed by the amount of #sequencedata we could provide them, which was more than is readily testable in a lab. We have tackled this by developing a #software called GeneStore which allows our customers to use their expertise about their proteins to select a diverse panel they want to produce and characterize. (...) Read the full interview and more about Proteineer in our latest issue of CHEManager International: https://lnkd.in/ebD9dS7E

2