CancerAppy is a biotech specialized in the field of cancer research, focused on the discovery and development of new therapeutic targets, based on its own artificial intelligence methodology
We have developed solutions that allow us to be more efficient and precise in the discovery of small molecules.
We work in the early stage of the Drug Discovery Value Chain.
From the initial analysis of the Target to the preclinical phase
Target ID & Validation
Using artificial intelligence algorithms, we work on identifying new potential oncological targets.
Hit discovery
We found potential hits from extensive libraries containing up to 1B of compounds in a fast way.
Hit-to-Lead
We sieve the results obtained based exclusively on scientific criteria to eliminate negative results and reduce the number of false positives.
Lead Optimization
We optimize the structure of the selected lead to improve its on-target activity while reducing its off-target interactions.
Preclinical Development
Each of the potential leads found in silico is tested in vitro internally, to validate the computational results.
Thanks to our deep knowledge and expertise in oncology and AI, we use a massive amount of multimodal data in our state-of-the-art AI algorithms, helping to identify new therapeutic targets, identify lead compounds, and determine the mechanism of action of a given compound. as well as possible drug combinations.
Contact us
We would be happy to talk to you.
News
Latest news about CancerAppy…
CancerAppy at ESMO Congress: Pioneering Research Unveiled!
CancerAppy's groundbreaking study at ESMO Congress (Oct '23) reveals profound insights into Treg impact on tumor immune responses. Unearthing common...
Milestone Achieved: CancerAppy’s First Collaborative Research Paper Unveiled
We are delighted to announce our first collaborative scientific research article. At CancerAppy, our commitment to harnessing the power of AI in...
BIO Spain
We're excited to be part of BioSpain 2023, and despite our packed schedule, we welcome you to connect with us at the BasqueHealthCluster booth....
Grant CPP2021-008597 funded by:
Grant TQ2020-011486 funded by:
Subvencionado por el CDTI
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