Why DISQOVER for Research?


Increase early Research success

- Optimized drug candidates

- Identify new targets

- Find new research insights


Accelerate compound screening

- Reduce compound evaluation timelines

- Faster decision making

- Consolidate data across vendors


Optimize research efficiency

- Avoid critical mistakes

- Terminate “low success” projects earlier

- Break the “silo” between early research and clinical


De-risk project evaluation

- Eliminate project duplication

- Reduce duplicative costs

- Understand the reason for decisions


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 validate potential targets.
  • Gather information, evidence, and supporting data to make new target identification reports faster.
  • Investigate the interactions between genes, proteins, and other molecules involved in specific pathways relevant to the disease of interest.
  • Explore genetic associations to identify genes that are 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 and search
  • Integrated public and private data
  • Alerts if new results with same criteria appears
  • Export details and compare
  • 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 activity to identify structural features that contribute to the activity or potency of lead compounds.
  • Browse pre-clinical safety data and evaluate pharmacokinetic properties of lead compounds and similar ones.
  • Gain insight into biomarkers associated 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.​


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
ONTOFORCE DISQOVER Natural Language Processing (NLP) platform image


DISQOVER for Research

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. 

Disqover for R&D v3


Start your data and knowledge management journey today

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