Vincere™ Network Analytics
Deep analysis of human genetics data identifies disease-associated pathways and molecular targets ripe for intervention.
Vincere™ Network Analytics is used for:
01
Target Identification via Target Discovery
When you have a thorough understanding of the disease of interest but you don’t yet know what compound(s) may prove effective at treating it.
02
Target Identification via Target Deconvolution
When you have a known drug or compound and you want to identify its biological target(s).
FEATURES of Vincere™ Network Analytics:
Curated Knowledge Graph
The knowledge graph has been carefully assembled and annotated by domain experts (pharmacologists, biologists, and bioinformaticians) ensuring that the information is accurate, up-to-date, and relevant to drug discovery.
Network AI Algorithms
A suite of deep learning, graph-based, and bayesian algorithms to identify key nodes or molecules that play important roles in the network, predicting new interactions between molecules, and identifying potential drug targets based on their connectivity within the network.
Data-mining Integrations
Analyze large amounts of complex data--including genomics, transcriptomics, proteomics, metabolomics, and clinical data--to gain a comprehensive understanding of the biological processes involved in the disease.
Contract a Bioinformatician
One of our vetted freelance bioinformaticians can identify targets (receptors, enzymes, proteins, genes or RNA) for your disease of interest with the potential to be modulated by a therapeutic agent.
Your bioinformatician will be armed with proficient usage of one or more of the tools listed above to conduct:
- Network Analysis
- Pathway Analysis
- Genetic Analysis
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