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Poor target selection is the leading reason for clinical trial failure, with approximately 50% of trials falling short due to lack of efficacy. Most efficacy related failures are attributable to poor disease-target linkage. To navigate this, drug discovery teams need to have an extensive understanding of the underlying disease biology, target safety profile, availability of biomarkers, and more.

Balancing these considerations is far from simple. The exponential growth of biomedical data makes target prioritization and selection deeply complex. Modern drug discovery scientists urgently need effective tools that help them manage the data overload, reduce bias and separate signal from noise.

Target Identification and Prioritization introduction image

Build foundational understanding of disease biology to design targeted therapies

  • Explore molecular and cellular processes associated with the disease to establish the critical points where interventions can be targeted.
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  • Analyze pathways and signalling networks to focus on targets that play a pathogenic role in the disease process.
Build foundational understanding of disease biology to design targeted therapies

Identify & prioritize novel and validated targets to focus resources

  • Causaly reads the scientific data within seconds to identify a list of potential targets. Deeply explore the supporting evidence for each target-disease association, including directional effects and contradictory findings.
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  • Easily identify novel targets by focusing on emerging findings, considering targets with little validation, or exploring targets yet to be directly associated with the disease of interest.
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  • With multiple criteria for prioritization, rapidly filter for validated targets in Causaly by assessing the strength of disease-target linkage, genetic evidence, validation in animal models, human relevance, druggability, and more. Tailor your selection process to match your specific needs.
Identify & prioritize novel and validated targets to focus resources

Stay up to date with the latest and most comprehensive data

  • Stay on top of your research area with customizable alerts that notify you the moment new evidence appears.
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  • Have confidence that you are not missing any relevant data with our comprehensive target ontology. Dive deep into specific target classes such as enzymes, receptors, membrane transporters to uncover new possibilities to focus your discovery programs.
Stay up to date with the latest and most comprehensive data

Build foundational understanding of disease biology to design targeted therapies

  • Explore molecular and cellular processes associated with the disease to establish the critical points where interventions can be targeted.
  •  
     
  • Analyze pathways and signalling networks to focus on targets that play a pathogenic role in the disease process.
Build foundational understanding of disease biology to design targeted therapies

Accelerate Your Discovery Programs

Gain up to 90% in research productivity and focus resources on validated targets or explore more novel directions.

Terminate Non-Promising Projects Early

Establish the strength of the underlying disease biology, identify safety red-flags, and look for competitive signals at the inception of discovery projects.

Make More and Bigger Scientific Bets

Increase the number of innovative bets through open-ended, exploratory questions that allow you to consider adjacencies and increase chances of novel discoveries – without running a single experiment.

What our clients say

"What I find really helpful is the ability to visualize the research in different ways - it is great to get a quick overview of how much knowledge is available."
Principal Scientist
Top 50 Pharma
"An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review."
Senior Scientist
Top 50 Pharma
"I love how Causaly's functionality allows me to generate hypotheses and gain inspiration whilst doing research, e.g. while exploring which tissues or cells are affected."
Principal Scientist
Top 50 Pharma
"What I find really helpful is the ability to visualize the research in different ways - it is great to get a quick overview of how much knowledge is available."
Principal Scientist
Top 50 Pharma
"An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review."
Senior Scientist
Top 50 Pharma
"I love how Causaly's functionality allows me to generate hypotheses and gain inspiration whilst doing research, e.g. while exploring which tissues or cells are affected."
Principal Scientist
Top 50 Pharma
"What I find really helpful is the ability to visualize the research in different ways - it is great to get a quick overview of how much knowledge is available."
Principal Scientist
Top 50 Pharma

Target Selection Resources

Enhance Your Search Sensitivity with AI: Off-Target Effects of BRAF Featured Image
Elizabeth Bolitho • February 29, 2024

Enhance Your Search Sensitivity with AI: Off-Target Effects of BRAF

In contrast to conventional keyword searching techniques, Causaly’s AI can sift through and remove irrelevant data from biomedical searches, offering a more thorough and accurate understanding of entire research landscapes. This not only streamlines knowledge acquisition but ensures accuracy and precision in navigating the biomedical literature.

Leveraging AI for Scientific Knowledge Extraction Featured Image
Elizabeth Bolitho • February 13, 2024

Leveraging AI for Scientific Knowledge Extraction

AI is transforming the analysis of extensive biomedical data, allowing pharma companies to expedite R&D processes, and cut costs. By reaching conclusions quicker, the inclusion of AI in drug development pipelines can inform decision-making, enabling the prioritization of more promising research avenues.

AI-Powered Drug Discovery: Identifying Safety Red Flags Featured Image
Elizabeth Bolitho • January 30, 2024

AI-Powered Drug Discovery: Identifying Safety Red Flags

Unmanageable toxicity accounts for 30% of clinical drug development failures and can cause severe side effects and potential harm to patients. Download our report to see how AI-powered drug discovery can help mitigate late-stage clinical failures and market withdrawals.  

Search by Target Class: Enzyme Targets for Celiac Disease Featured Image
Elizabeth Bolitho • January 26, 2024

Search by Target Class: Enzyme Targets for Celiac Disease

The strategic prioritization of drug targets by target class can be used to streamline discovery, enabling efficient resource allocation and time-savings in early drug development, as well as a competitive edge given the variable success rates of different target classes. Prioritization of specific target classes may therefore enable investment optimization in preclinical research.  

Navigating the Biomedical Literature: Insights vs. Papers Featured Image
Elizabeth Bolitho • January 19, 2024

Navigating the Biomedical Literature: Insights vs. Papers

With 2 publications added to PubMed every minute, identifying therapeutic targets with traditional keyword searching is time-consuming, causes reading fatigue and is subject to bias. By machine-reading the literature, Causaly manages this data overload, extracting scientific insights rather than papers, to enable the exploration of more novel avenues.

Eliminating Bias with Human-Centric AI Featured Image
Elizabeth Bolitho • January 9, 2024

Eliminating Bias with Human-Centric AI

Traditional keyword searching can miss crucial information,  skewing representations of research landscapes before reading even begins. Instead, Causaly’s human-centric AI can extract all targets for a given disease without bias, uncovering scientific insights, rather than just papers.

Accelerate Target Discovery with the Help of AI Featured Image
Elizabeth Bolitho • December 19, 2023

Accelerate Target Discovery with the Help of AI

Drug discovery is complex, with a high level of uncertainty full of critical decisions with significant time and cost implications. With 90% of drugs failing in clinical trials, there is an urgent need to accelerate the pathway from disease biology to candidate selection. Causaly’s human-centric AI empowers users to make better research decisions by accelerating […]

Exploring Biochemical Pathways with Human-Centric AI Featured Image
Elizabeth Bolitho • December 15, 2023

Exploring Biochemical Pathways with Human-Centric AI

In drug development, understanding biochemical pathways is essential for elucidating molecular mechanisms in cells and tissues, thereby informing targeted therapeutic strategies. In this example, we used Causaly to identify and explore biochemical pathways affected by targets for acute kidney injury (AKI).