Tackle complex data challenges and accelerate new discoveries

We can help develop custom algorithms and apply machine-learning techniques to create an integrated and harmonized source of data. These solutions include:

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  Data integration and harmonization

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  Workflow solutions

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  Text-mining applications

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  Cheminformatics

Our custom reports answer key R&D and safety questions such as:

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  Which studies have been conducted for similar compounds and what were the findings?

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  What adverse events might occur based on molecular structure and class?

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  What are the most predictive preclinical species for understanding human toxicity?

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  What is the potential risk of litigation based on drug failure?

We help customers accelerate early discovery activities through access to critical disease and/or target overview information to prioritize research focus areas. We help you answer key research questions, such as:

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  Which diseases might this target treat?

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  What are the potential adverse events and drug interactions?

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  Are there known molecules likely to be test molecules?

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  What new target may exist to treat a specific disease with less side effects?

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  How does each target score based on pathway activation, gene expression, and an overall literature analysis?

Our team provides customers with a more thorough understanding of the chemical risk of a compound based on the analysis of biological pathways in the human body and underlying molecular mechanisms that cause complex diseases. We answer questions such as:

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  What are the key cells to target for a particular disease?

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  Which proteins are relevant in my disease of interest?

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  What are the biomarkers on the path to toxicity?

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  Which molecular mechanisms are linked to disease outcomes?

We provide detailed custom reports and predictive analytics to support critical drug repurposing decisions. These solutions include:

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  Text mining for possible drug indications in the scientific literature

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  Prediction of new drug indications based on drug target biology and efficacy of other drugs in the same class

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  Scoring mechanism to identify most promising repurposing candidates

Disease-centric repurposing includes pathway analysis to identify:

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  Signaling affected in a disease

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  Compounds targeting proteins in the disease pathway

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  Known drugs to inhibit proteins