PLATFORM
A Multi-Step Process to Discover and Derisk Novel Targets
It’s just as important to know a drug can treat brain cancer as it is to know whether that drug will cause severe side effects when it binds proteins in the liver, or if the compound can even cross the blood brain barrier to begin with. Over 95% of compounds that enter preclinical development fail before ever making it to patients, and it’s often because issues like these are overlooked in early discovery.
Because of this, we built our platform to provide insight across multiple parts of drug development pipeline which not only provides greater mechanistic insights, but also helps ensure a greater success rate for drugs entering preclinical development.
Data-Driven Discovery
Most existing computational approaches were built and optimized for only a limited number of data types. We’ve spent over a working in biology and chemistry labs and know that each type of data is only a piece of a much bigger puzzle, and we brought this mentality into OneThree.
Over time we have built the most diverse, fully integrated database. Our data mapping and ingestion pipeline links thousands of disparate, diverse data sources, and types into a single relational database. Our algorithmic models have been tailored to analyze all of these data types relevant to their predictive functionality.
This data is derived from over 200 different sources, including: non-profits, major pharmaceutical companies, academic databases, publicly available data sources, and much more. We currently integrate over 600 different data types spanning biological, chemical, and clinical domains.
Data-Driven Discovery
Most existing computational approaches were built and optimized for only a limited number of data types. We’ve spent over a decade working in biology and chemistry labs and know that each type of data is only a piece of a much bigger puzzle, and we brought this mentality into OneThree.
Over time we have built the most diverse, fully integrated database. Our data mapping and ingestion pipeline links thousands of disparate, diverse data sources, and types into a single relational database. Our algorithmic models have been tailored to analyze all of these data types relevant to their predictive functionality.
This data is derived from over 200 different sources, including: non-profits, major pharmaceutical companies, academic databases, publicly available data sources, and much more. We currently integrate over 600 different data types spanning biological, chemical, and clinical domains.
Decoding Specific Biology
AI/ML isn’t a magic bullet, but if focused on decoding specific biological questions, it has the potential to quickly generate new insights and hypotheses that otherwise might have been missed. That’s the approach we take at OneThree.
Every one of our technologies addresses a specific biological question such as binding to a given target class, gene essentiality in specific genotypes, or target/structure derived toxicity. Our ML scientists and computational biologists work closely with the experimental team to thoroughly evaluate how the hypotheses and insights derived from the platform could impact the development process. This not only allows us to better design and test new systems, but it also makes sure the output of any predictive algorithm can be used to answer direct mechanistic questions and uncover new biology.
Decoding Specific Biology
AI/ML isn’t a magic bullet, but if focused on decoding specific biological questions, it has the potential to quickly generate new insights and hypotheses that otherwise might have been missed. That’s the approach we take at OneThree.
Every one of our technologies addresses a specific biological question such as binding to a given target class, gene essentiality in specific genotypes, or target/structure derived toxicity. Our ML scientists and computational biologists work closely with the experimental team to thoroughly evaluate how the hypotheses and insights derived from the platform could impact the development process. This not only allows us to better design and test new systems, but it also makes sure the output of any predictive algorithm can be used to answer direct mechanistic questions and uncover new biology.
Using 100s of Different Algorithms, Each Derisking a Different Part of Development, ATLANTIS is Able to Identify Better Targets
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Efficacy
Safety
Patient Selection
Hit Identification
Novelty/Prevalence
New Programs
Based on the strength of the ATLANTIS platform and validation with partners, OneThree has developed an internal pipeline of 5 novel oncology targets.
Visit Pipeline to learn more.
New Programs
Based on the strength of the ATLANTIS platform and validation with partners, OneThree has developed an internal pipeline of 5 novel oncology targets.
Visit Pipeline to learn more.