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A foundational understanding of disease biology and pathophysiology serves as the roadmap for successful drug discovery and development efforts. It requires the researcher to identify the key pathways and targets fundamental to disease initiation, progression and manifestation. Unraveling these disease mechanisms and interplay of molecular processes can pave the way for the design of targeted therapies that address the root causes of disease.

Developing this understanding is not always simple: diseases are complex and multifaceted, with intricate interactions between genetic, environmental, and lifestyle factors. Heterogeneity within diseases further complicates the picture, requiring a nuanced approach for personalized treatments. Additionally, diseases can exhibit diverse manifestations across various body systems, demanding a holistic understanding of their systemic impact.

Disease Pathophysiology introduction image

Build comprehensive understanding of the disease state

  • Discover insights quickly by diving into the disease biology. Investigate how disease is formed across therapeutic areas by looking at the causative and cellular mechanisms, the specific genes or proteins involved in its development and how they are regulated or expressed in specific cell types.
  • Explore pathways to connect what happens upstream or downstream of a gene, enzyme or target. Use it to deeply understand the relationship between disease and the gene, protein or target at the tissue, genetic or cellular level, especially for diseases where the disease biology is not yet well understood.
Build comprehensive understanding of the disease state

Knowledge graph based hypothesis generation

  • Uncover hidden biochemical pathways or molecular processes that mediate the effects of a gene or protein on disease using the multi-hop module.
Knowledge graph based hypothesis generation

Collaborate to build shared understanding

  • Collaborate among multidisciplinary teams, including biologists, pharmacologists, and computational biologists, to enhance the understanding of disease pathophysiology.
  • Easily share novel findings, data, and resources to help fill knowledge gaps and create a holistic view of the disease mechanisms.
Collaborate to build shared understanding

Build comprehensive understanding of the disease state

  • Discover insights quickly by diving into the disease biology. Investigate how disease is formed across therapeutic areas by looking at the causative and cellular mechanisms, the specific genes or proteins involved in its development and how they are regulated or expressed in specific cell types.
  • Explore pathways to connect what happens upstream or downstream of a gene, enzyme or target. Use it to deeply understand the relationship between disease and the gene, protein or target at the tissue, genetic or cellular level, especially for diseases where the disease biology is not yet well understood.
Build comprehensive understanding of the disease state

Improve Target Prioritization

Identify and prioritize drug targets that are more likely to be involved in the pathogenesis of the disease.

Increase Likelihood of Therapeutic Success

Rational drug design based on the understanding of underlying mechanisms, pathways and molecular interactions involved in the disease enables more targeted therapies.

“An advantage of ACE 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 have mainly been using ACE for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 
“An advantage of ACE 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 have mainly been using ACE for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 
“An advantage of ACE 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 have mainly been using ACE for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 

Therapeutic Areas Resources

Enhance Your Search Sensitivity with AI: Off-Target Effects of BRAF Featured Image
Aceus • 2024-09-13T11:00:26+08:00

Comparison of Safety Biomarkers for Chemotherapeutics

The identification and utilization of safety biomarkers plays a key role in mitigating toxicity risks and reducing costs in drug development, thereby accelerating the delivery of safe and effective drugs to patients. AI can streamline the identification of relevant biomarkers from the ever-growing biomedical literature, offering insights into drug resistance and toxicity.

Enhance Your Search Sensitivity with AI: Off-Target Effects of BRAF Featured Image
Aceus • 2024-09-13T12:28:13+08:00

Challenging the Status Quo: A Biomarker Use Case

Traditional keyword searching is highly inefficient, subject to bias and is not always comprehensive, providing limited potential for knowledge discovery and hypothesis generation. This selective approach introduces a bias towards familiar areas of expertise, which can lead to missed opportunities for novel insights and innovations. This is where AI comes in.

Enhance Your Search Sensitivity with AI: Off-Target Effects of BRAF Featured Image
Aceus • 2024-09-13T10:50:08+08:00

Biomarkers of Treatment Response in Liver Cancer

Biomarkers serve as objective measures of treatment response to guide patients towards the most appropriate therapies. Yet, in the era of big data, pinpointing promising biomarkers remains a challenging endeavor. AI is revolutionizing translational medicine by improving the efficiency and accuracy of biomarker identification. Here, we used Aceus to identify and prioritize biomarkers of sorafenib […]