See the CAS Content Collection™ through a biological lens
Designed to support the needs of biology-based inquiry, the CAS BioFinder Discovery Platform adds new data types, connections, and visualizations to the CAS Content Collection. The platform includes a new CAS BioFinder™ solution with embedded predictive models, enhanced capabilities in CAS SciFinder®, and access to comprehensive bioactivity and biomarker data through an application programming interface (API).
"CAS BioFinder provides a centralized database for drug discovery. It tells you everything that’s been published in patents and literature and has associated pharmacology pathways, metabolism, and nearby chemical neighbors. A lot of people in drug discovery are going to different databases for each line function, but CAS BioFinder is a nice way of centralizing that."
Structural biologist, CAS BioFinder development partner
What is the CAS BioFinder Discovery Platform?
CAS BioFinder™
Working through the literature to find disease targets, plan structure-activity relationship studies, and assess the potential for off-target interactions takes time and risks missing key information.
With CAS BioFinder, you can quickly access the verified data you need along with predicted bioactivity data, all derived from the existing literature—ensuring confidence that you always have the most relevant results.
Our expert scientists have combed through the literature and patents, extracted the data relevant to drug discovery scientists, and connected related data points so that you can quickly answer your drug discovery questions. This commitment to manual curation by CAS experts means you can trust the quality of the insights you uncover.
Leverage existing and predicted bioactivity, ligand, sequence, and biomarker data, all accessible from the streamlined CAS BioFinder user interface, to save time and accelerate your drug discovery program.
Move faster with API access
Streamline your drug discovery workflows with API access to high-quality, harmonized, and renowned CAS data, including normalized bioactivity and biomarker data.
Complete your workflows with CAS SciFinder
Leverage the integrated capabilities of CAS SciFinder and CAS BioFinder for deep dives into reference material, biological sequence data, retrosynthesis planning, and analytical methods.
Discover more about the world-class data powering this new platform.
Answer critical drug discovery questions
What scaffolds and molecules are associated with this disease?
What molecules are likely to interact with this target?
What targets are likely to interact with this molecule?
What biomarkers are relevant to this disease?
"CAS BioFinder has been a very useful tool, especially for identifying ligands or scaffolds of interest and discovering similar ligands and the targets that they inhibit. The ease of finding references for compounds actually helped us understand more about a possible new target on which our ligand acted in phenotypic assays."
Capabilities designed for your drug discovery success
Search by target, disease, ligand, or molecular structure to analyze detailed bioactivity data and identify new drug development opportunities.
Find and explore targets quickly with a detailed breakdown of the relationships between diseases, pathways, targets, and ligands.
Drive efficient SAR exploration with a comprehensive scaffold search to help you identify ligands linked to published and predicted bioactivity data.
Expose hidden interactions between ligands and their protein targets and connected pathways by leveraging predictive analytics, machine learning, and neural networks.
Identify targets and associated pharmacology data for any known or novel molecule, and filter results by functions like inhibitor, modulator, and agonist.
Advance drug candidates confidently with innovative prediction models that forecast off-target interactions for any ligand to maximize safety and minimize risk.
Bring therapies to life faster with reliable and actionable drug discovery data insights through the CAS BioFinder Discovery Platform.
See how we’re thinking about drug discovery
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Challenges and opportunities in creating authority constructs for life sciences
Challenges and opportunities of sequence analysis during drug discovery
