Overview

Pathway and network analysis elucidate how genes or proteins interact within a cell, providing crucial insights into underlying molecular mechanisms. This analysis involves mapping gene sets or proteins onto signaling, metabolic, and regulatory pathways to understand how these biological entities exercise control over cellular operations. By interpreting genetic data within the context of known pathways, it empowers meaningful understanding of biological processes, helping researchers delineate the interplay between different biological entities within a system. CD ComputaBio's pathway and network analysis service is adept at spotting critical players within biological networks, unveiling the relationships amongst them, and revealing the regulatory control points that precipitate distinct cellular outcomes.

Our Services

Signaling Pathway Analysis

Our signaling pathway analysis enables the identification and mapping of genetic, protein, metabolic and cellular signaling pathways. CD ComputaBio employs sophisticated computational tools and databases to delineate complex biological networks, thereby enhancing our understanding of disease pathogenesis and facilitating the development of novel therapeutic interventions.

Metabolic Pathway Analysis

We also specialize in metabolic pathway analysis to investigate cellular biochemistry under normal and disease states. Our experts harness high-throughput genomics, transcriptomics, proteomics and metabolomics data to identify key metabolic pathways implicated in disease. This aids in pinpointing potential intervention points for drug discovery and development.

Interaction Network Analysis

At CD ComputaBio, our interaction network analysis service creates a wide view of biological systems, examining the relationships between specific nodes in a network. Our approaches include protein-protein interaction, genetic interaction, metabolic interaction and other such networks, providing a holistic understanding of the biological system.

Pathway Dynamics Analysis

In addition, our team offers pathway dynamics analysis for a comprehensive understanding of system flow and dynamics. This service can help researchers to model the dynamic behavior of different biological pathways, understanding the progression of disease at molecular, cellular, and system levels.

Sample Requirements

To leverage our Pathway and Network Analysis Service effectively, clients are required to provide the following samples:

• Omics Data: High-quality gene expression, proteomic, or metabolomic data for analysis.
• Specific Research Questions: Clear objectives or hypotheses guiding the pathway and network analysis.
• Annotation Data: Information on gene/protein annotations, pathway databases, or relevant metadata.

Applications

Our Pathway and Network Analysis Service offers a wide range of applications in drug discovery and development. Some of the key applications include:

• Target Prioritization: Identifying key genes or proteins within biological pathways as potential drug targets.
• Mechanism of Action Studies: Elucidating the mechanisms through which drugs exert their effects on biological pathways.
• Biomarker Discovery: Identifying biomarkers associated with disease states or treatment responses.
• Drug Repositioning: Repurposing existing drugs by identifying new indications based on pathway analysis.
• Personalized Medicine: Tailoring treatment strategies based on an individual's molecular pathway profiles.

Deliverables

• Pathway Enrichment Results: Identification of enriched biological pathways associated with the input data.
• Network Visualizations: Visual representations of molecular interactions and pathway relationships.
• Functional Annotations: Annotations of key genes/proteins within identified pathways.
• Interpretation Reports: Comprehensive analysis and interpretation of pathway/network findings.
• Target Prioritization Recommendations: Recommendations for prioritizing potential drug targets based on pathway analysis.

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