by myNEO Tx Admin | Nov 22, 2023 | Press release
CureVac has exercised its options on a selected set of potential cancer vaccine targets identified by myNEO Therapeutics under the existing partnership agreement Two option fee payments triggered to myNEO Therapeutics By applying its AI-based neoantigen discovery...by Wim Mees | Oct 25, 2023 | Press release
myNEO evolves into myNEO Therapeutics to reflect its new strategy to develop off-the-shelf cancer vaccine immunotherapeutics. myNEO Therapeutics to focus on building proprietary neoantigen discovery product pipeline based on a novel class of shared therapeutic cancer...by Wim Mees | Feb 13, 2023 | Press release
Odimma Therapeutics and myNEO Therapeutics will partner to identify personalized targets for clinical development of DNA-based cancer vaccine therapy. The myNEO Therapeutics project team is excited to have Odimma as our newest partner, and to be able to enter the...by Wim Mees | May 25, 2022 | Article, News, Press release
CureVac (Nasdaq: CVAC) and myNEO Therapeutics will partner to identify novel targets for mRNA-based cancer vaccine development. We’re convinced that combining our tumor characterization and neoantigen discovery methods with an mRNA vaccination technology holds great...by Wim Mees | Apr 7, 2021 | Press release, News
Fighting Cancer with Personalized Vaccines: ONCODNA and myNEO Therapeutics collaboration OncoDNA, a company specializing in precision medicine, and myNEO Therapeutics, an AI-driven company revolutionizing neoantigen discovery within immuno-oncology, are thrilled to...The process starts with the collection of both patient blood and a tumor biopsy.
Whole-Genome Sequencing data from matched tumor and normal DNA is required for each patient.
Following alignment of these reads to the genome, somatic gene alterations in the tumor genome are detected using a collection of algorithms called 'neoX'.
Next, these somatic gene alterations are translated in-silico to obtain the tumor-specific peptides
In a last step, the peptides are prioritized using an immunogenicity predictor (neoIM) and two presentation predictors (neoMS and MHCrank).