- Break the “silo” between early research and clinical
De-risk project evaluation
- Eliminate project duplication
- Reduce duplicative costs
- Understand the reason for decisions
Applications
Target Identification
With DISQOVER's Target Identification application, scientists can efficiently access the data they need to identify and validate targets faster and more accurately. Thanks to optimized data integration, siloed data is connected and linked within the single platform so scientists don't need to juggle accessing different sources.
What can be accomplished in DISQOVER?
Identify and validatepotential targets.
Gather information, evidence, and supporting datato make new target identification reports faster.
Investigate the interactionsbetween genes,proteins, and other molecules involved in specificpathways relevant to the disease of interest.
Explore genetic associationsto identify genes thatare linked to specific diseases or traits.
Key features
Integrated public and private data
Advanced filtering and search
Alerts if new results with same criteria appears
Export details and compare
ELN integration
NLP enriched biomedical data
Document classifiers
DISQOVER's integrated and harmonized data outputs can easily be fed into AI/ML algorithms.
Drug Screening
The screening process specifically focuses on collecting information on the desired properties of molecules that bind to a particular target via research and testing. DISQOVER's Drug Screening application simplifies the drug screening research processes by consolidating and linking all relevant information in a single platform.
What can be accomplished in DISQOVER?
Identify if similar compounds have already been tested and whether toxicities, adverse effects, etc. have been reported.
Search across bioassays(external and internal datasets) and compare results.
Analyze and Prioritize potential drug candidates based on various criteria.
Leverage integrated data, including activity data, toxicity profiles, and other relevant parameters, to rank and prioritize compounds for further investigation.
Key features
Advanced filtering andsearch
Integrated public andprivate data
Alerts if new results withsame criteria appears
Export details andcompare
Integrations with third-party chemistry plug-ins such as Chemaxon, ChemDraw, Chemantics to combine chemical structure and property searches
ELN integration
NLP enriched biomedical data
Document classifiers
DISQOVER's integrated and harmonized data outputs can easily be fed into AI/ML algorithms.
Lead Optimization
DISQOVER's Lead Optimization application offers efficient data exploration and search to help accelerate the process of refining and optimizing properties to enhance a drug candidate's efficacy, safety, and pharmacokinetic properties.
What can be accomplished in DISQOVER?
Explore the relationship between chemical structures and biological activityto identify structural features that contribute to the activity or potency of lead compounds.
Browse pre-clinical safety data and evaluate pharmacokinetic propertiesof lead compounds and similar ones.
Gain insight into biomarkersassociated with specific diseases, their correlation with molecular pathways, and how relevant they are for your research.
Key features
Advanced filtering and search
Integrated public and private data
Cross experimental evidences
NLP enriched biomedical data
Document classifiers
DISQOVER's integrated and harmonized data outputs can easily be fed into AI/ML algorithms.
DEMO
Target identification and validation
In this demo, see how DISQOVER is utilized for identifying and validating potential targets when looking into treatments for a specific disease.
DISQOVER for Research and NLP
With DISQOVER enhanced with NLP functionality, users can extract valuable insights and knowledge from both structured and unstructured text data, including papers, posters, presentations, publications, clinical studies, patents and more.
Easily locate and analyze information about biological entities (such as diseases, genes, proteins and more)
Quickly find documents relevant to a specific research or interest area.
Key benefits of DISQOVER's NLP functionality:
Process private and public data with pre-configured yet adjustable annotators
One-stop-shop: one single solution for structured AND unstructured data
Modular and flexible: deploy NLP for a single use case or for multiple use cases at once
Expert team of data scientists, machine learning engineers, and bio-informaticians available to support with implementation and user roll-out
With DISQOVER for Research, part of ONTOFORCE's intuitive knowledge discovery platform, accelerate timelines and drive success with linked data and advances insights during this critical stage of drug discovery.
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