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Publications

Technology Overview

Identification of Drug-Target Interactions using Xanthos Match Maker™

In this short whitepaper, we have tried to explain our Xanthos Match Maker™ tool for DTI prediction and virtual screening. Our solution not only can achieve a significant performance on a benchmark dataset but also can provide a reasonable prediction on out-of-distribution data. Moreover, the Celeris One platform can cope with the low amount of input data and extract maximum information from sparse input data.
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Case Study

Identification of Novel West Nile Virus NS2B/NS3 Protease Warheads

In this whitepaper we showcase the utilities of Xanthos Match Maker™ in rapidly and accurately predicting biomolecular interactions between drug/target pairs. Based on a deep learning approach, the presented drug-repurposing case study has arguably demonstrated promising as well as competitive results.
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Celeris Therapeutics, Inc.

585 Glenwood Ave
Menlo Park, CA 94025
USA

 

Celeris Therapeutics GmbH

Salzamtsgasse 7, 8010 Graz, Austria

Company register: FN 550442z

UID: ATU76712158

IBAN: AT10 3800 0000 0082 1272 BIC: RZSTAT2G

5 + 4 =

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Ian Marks, MBA

Ian Marks is a Board Member at Celeris Therapeutics and a senior executive with over 25 years of experience in the pharmaceutical industry. He has extensive experience delivering breakthrough innovations, leading disruptive initiatives, and building strategic capabilities that improve patients’ lives and drive business value.

Ian Marks is a well-recognized thought-leader in transforming healthcare through disruptive innovations, with experience encompassing R&D, project management, clinical research, and operations in Pharma.

Ian Marks is currently Global VP of Life Sciences at Salesforce, former VP R&D Innovation at GSK, and former VP New Growth & Research at Novartis.

Noah Weber, MSc

Noah is the Chief Technology Officer of Celeris Therapeutics.
While graduating in applied mathematics and data science at the Technical University of Vienna, he became a Kaggle grandmaster proving excellence and discipline in global data science competitions.

With his extensive knowledge and experience in machine learning, from research to operations, he’s a lecturer at the Technical University of Vienna and the University of Applied Sciences Vienna.

Hosein Fooladi, MSc

Hosein Fooladi is Chief Scientific Officer and one of the first employees of Celeris Therapeutics. He holds a degree in Biomedical Engineering. Hosein was honored by the Iranian Ministry of Science and Research as an exceptional talent after being ranked in the top 0.1% in the national licensing exams.
Since 2017, Hosein has worked at Cambridge Systems Biology Center as a Machine Learning Researcher in Drug Discovery. After this role, he became a Senior Data Scientist for cheminformatics at an in silico drug discovery and design company based in Cambridge.

Hosein is responsible for the intersections of chemistry, biology and machine learning research. Hosein gained our attention through his peer-reviewed publications on deep learning and drug discovery.

Jakob Hohenberger

Jakob has co-founded several tech companies over the past few years, covering a wide variety of areas from marketing, to sales, business management, and product development.
While he was active in various markets, high technology was always the common denominator, including artificial intelligence and natural language processing.
Before co-founding Celeris Therapeutics, he was Head of Sales of an international venture building company in Switzerland.

Jakob is responsible for finance, operations, investments, marketing, and sales.

Dr. Siham Ceballos

Siham Ceballos is an international medical executive with more than 17 years of experience in biotech and pharma industry and VC-backed start-ups.

Among other achievements, Siham set up and led international medical organizations for several biotechs at their start-up stage in Europe, including Celgene, Alnylam, and Mayne Pharma. She more recently contributed to the inception and was the COO of Rejuveron Life Sciences.

Siham holds a Master in Cellular and Molecular Physiopathology and a Ph.D. in Cancer Cellular and Molecular Biology from the University of Pierre and Marie Curie, Paris. She earned an executive MBA in ESSEC Business School, Paris. 

DI Christopher Trummer, MSc

Christopher Trummer is CEO and Co-Founder of Celeris Therapeutics.

Through his professional experience, he has a strong network in the pharmaceutical and biotech industry.
He is responsible for the technical lead, at the intersection of tech and chemistry for all development processes as well as technology partnerships. He has been an invited speaker in AI for drug discovery conferences several times and is co-author of peer-reviewed publications in various journals.

Christopher holds a degree in molecular biology and biotechnology with honors from TU Graz and KFU Graz. Besides, he completed his Master’s degree in information systems at IU in Bad Honnef.

FH-Prof. Dr. Stephan Winkler

Stephan Winkler is a FH-Professor and Program Director at the University of Applied Sciences Upper Austria in the field of Medical- and Bioinformatics. He is also Head of the Department of Medical- and Bioinformatics, and Data Science at University of Applied Sciences Upper Austria.

After receiving his doctorate from Johannes Kepler University (2008), Stephan started his career at University of Applied Sciences Upper Austria, as FH-Professor for Medical- and Bioinformatics. In the course of his work, he was awarded several times, among others as the best lecturer of the UAS Upper Austria.

Assist.-Prof. Dr. Günter Klambauer

Günter Klambauer is Assistant Professor for Machine Learning in the field of drug discovery at the Institute for Machine Learning at JKU in Linz. He also leads the research group on AI and Drug Discovery.
His main research interests are self-normalizing neural networks, convolutional neural networks, recurrent neural networks and reinforcement learning, machine learning methods for drug discovery, and life science data analysis and bioinformatics. After his diploma studies in mathematics and biology and teaching positions at BORG Linz and BORG Bad Leonfelden, Günter pursued graduate studies in bioinformatics and did his doctoral thesis with Sepp Hochreiter at JKU.

Günter has received several awards for his scientific excellence, including the Austrian Life Science Award and the Award of Excellence of the Austrian Ministry of Science.

Assoc.-Prof. Dr. Johannes Kirchmair

Johannes Kirchmair is Associate Professor of cheminformatics at the Institute of Pharmaceutical Chemistry at the University of Vienna and Head of the Computational Drug Discovery and Design Group (COMP3D).
He is also a group leader at the Center for Bioinformatics (ZBH) at the University of Hamburg. After receiving his Ph.D. from the University of Innsbruck (2007), Johannes started his career as an application scientist at Inte:Ligand GmbH (Vienna) and as a university assistant at his alma mater. In 2010, he moved to BASF SE (Ludwigshafen) as a postdoctoral fellow. He then worked as a research associate at the University of Cambridge (2010-2013) and ETH Zurich (2013-2014). Johannes held an assistant professorship in applied bioinformatics at the University of Hamburg (2014 to 2018) and an associate professorship in bioinformatics at the University of Bergen (2018 to 2019).
He has been a visiting professor at the National Institute of Warangal (2016), at the University of Cagliari (2017), and the University of Vienna (2018). His main research interests include the development and application of computational methods to predict the biological activities, metabolic activities, and toxicity of small molecules (including natural products) in the context of drug discovery.

Prof. Dr. Jean-Louis Reymond

Jean-Louis Reymond is a Professor of Chemistry at the University of Bern, Switzerland. He studied chemistry and biochemistry at the ETH Zurich and received his Ph.D. from the University of Lausanne on the synthesis of natural products (1989).
After a post-doc and an assistant professorship at the Scripps Research Institute, he moved to the University of Bern (1997). His research focuses on the recognition and representation of the chemical space for small molecule drug discovery, the synthesis of new molecules from GDB (http://gdb.unibe.ch), and the design and synthesis of peptide dendrimers and polycyclic peptides as antimicrobial agents and for nucleic acid transport. He is the author of > 300 scientific publications and reviews (h = 62).

Dr. Ronjon Nag

Ronjon Nag is a British-American inventor and entrepreneur specializing in the field of mobile technology. He co-founded the technology company Lexicus, which was acquired by Motorola in 1993. His later co-founded company Cellmania was acquired by Research in Motion in 2010. He later served as vice president at both Motorola and BlackBerry.

Ronjon is the founder and president of R42, a U.S. VC group. He was one of the early investors in Healx and Oxford Drug Design.

Petr Šrámek, MBA

Petr Sramek has been a serial entrepreneur in DeepTech for more than 30 years. Petr builds science, funding, and business infrastructure to support the faster adoption of technologies to improve health. Petr was Entrepreneur in Residence at Singularity University, Co-Founder of the Artificial Intelligence Platform at the Confederation of Industry, and Senator for the Czech Republic in the World Business Angels Investment Forum (WBAF).

Petr is also the founder of the AI Awards project. Petr was listed in the group of 28 AI leaders in the World Intellectual Property Organization’s flagship study alongside Nick Bostrom, Frank Chen, Martin Ford, Kai-Fu Lee, Andrew Ng, Ben Lorica, and others.

Petr is Co-Founder, Chairman of the Board, and Managing Partner of Longevitytech.fund, a Czech VC.

Prof. Dr. Ola Spjuth

Ola Spjuth is a professor at Uppsala University focusing on mathematical and statistical modeling, informatics, and quantitative analysis of pharmacological systems. He has developed methods, algorithms, and software to study and model pharmaceutical interactions.
A major focus of his group is how artificial intelligence and machine learning can aid the drug discovery process: for example, in drug screening and the study of drug toxicity, metabolism, and resistance.
His group combines in silico and in vitro experiments at the cellular level and has access to a robotic high-content imaging laboratory connected to a modern IT infrastructure to manage and analyze large amounts of data.