Pathway Studio

Who uses Pathway Studio

Pathway Studio Empowers Pharma, Agriculture, and Academia

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Pharmaceutical Researchers

Pathway Studio guides target discovery and validation, and helps anticipate potential downstream conflicts, to increase your research efficiency and confidence. 


Use Pathway Studio to:

• Capture internal knowledge in the form of molecular models of disease progression or therapeutic approach.

• Develop a thorough knowledge about targets, pathways, diseases, binding partners, observed adverse outcomes, potential biological side-effects, and more.

• Incorporate information like patent status, approved and failed drugs, and competitive information.

• Combine data from experimental assays such as siRNA screens, phosphorylation experiments, mass spec, and genomics and gene expression screens.

• Perform in silico biomarker discovery to identify candidates and to prioritize laboratory validation experiments.

• Develop mechanistic models.

Expand your pharmaceutical tool set by adding the compound-centric knowledge base ChemEffect® and the disease-centric knowledge base DiseaseFx™ to your Pathway Studio Mammalian subscription. 

 

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Agricultural Researchers

Pathway Studio integrates established knowledge from model organisms with experimental data to power efficient commercial and academic research. Top agricultural companies use Pathway Studio extensively for basic plant research, research on new crop species, mechanistic modeling, disease resistance, and genetic breeding.

 

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Academic Researchers

Scientists in academia are expected to set the leading edge in research, and Pathway Studio is your perfect tool for meeting that challenge. With comprehensive molecular data and broad flexibility, it can address standard workflows as well as novel challenges. Pathway Studio speeds the research process to reveal insights that produce fresh perspectives, leading to stronger publications and more confident grant proposals.


Your research will benefit from Pathway Studio’s many features, including:

• High-quality knowledge base of molecular facts with sentence level evidence

• Flexible import processes

• Powerful algorithms that leverage the knowledge base to interpret experimental data

• Open data model for easy integration with other research tools

• Best-of-class publication tools, including quality graphics

• Complete libraries of reference pathways spanning disease, metabolism, and signaling


Analyze virtually any experimental data, including:

• gene expression assays

• protein assays

• phosphorylation studies

• methylation studies

• SNP and genomics analysis

• mass spec

• PCR

 

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