We combine next-generation AI with the most advanced genomic approaches (whole genome and multiomics data) to save the lives of cancer patients through predictive modeling and drug target identification.
At MNM our goal has always been to understand cancer and to find the right therapy for every patient. We set out on this journey analyzing somatic variants of patient tumors to guide their therapy. But we soon realized that we were neglecting much of the information that's contained in the so-called dark/junk genome. In order to better understand cancer origins we needed to better understand that dark genome. We decided to launch our BioBank, with the aim of building a database with tumors' WGS data.
With rich datasets at hand, we are now applying machine learning to drive novel insights. For example, we have developed and patented custom CDK4/6u inhibitor, homologous recombination deficiency (HRD) and PD1 inhibitor patient stratification algorithms. The analysis of patients' response to existing therapies has inspired our ever-widening vision. We have realized that our genome analysis technology can reveal patterns of cancer mutations related to genes that are not yet targeted by any therapy. It's this realization that lies at the heart of our mission. In contrast to classical drug discovery, our solution starts from real patient data, it then leverages AI and bioinformatics to understand mutation profiles and to find relevant drug target candidates. We're already in the process of creating our own drug - MNM177.
To further follow this path, we're building a unique environment which brings together life scientists and data scientists. Using this multidisciplinary approach, we can answer questions at the core of cancer biology. Together we can find personalized therapy for every cancer patient.
The idea for MutationsNoMore (MNM) was born at Oxford University, where we understood that a new “dictionary” for interpreting a tumor’s mutation language is needed. Over the past four years, we have been building a technology that translates different mutation types into biological insights. We have also built a new AI framework for these data modalities – our most valuable asset.
We're proud that MNM’s predictive algorithms are used in clinics to help select the right treatment for cancer patients.
We are also honored that the AI we’ve built has delivered the understanding of tumor vulnerabilities, which are now being used to develop a targeted therapy for breast cancer patients.
MNM is a biotech start-up created by an interdisciplinary team of experts - geneticists, molecular biologists, bioinformaticians and AI specialists.Our team