Acelot, Inc.
Better prediction through accurate models
Acelot, Inc. is an informatics company focusing on graph-based solutions for the analysis and modeling of data from scientific and business domains. This data is complex and its characterization and understanding require a graph-based modeling. Current technologies are based on pre-designed, one-dimensional models and often suffer from poor predictive power. Our methods capture topological properties of large datasets in a scalable manner and can make accurate predictions.
The drug discovery process has seen a paradigm shift with the advent of high throughput technologies. Drug discovery and development pipelines now need improved target identification and lead optimization through predictive modeling. The challenge is to use analytical tools with high precision to filter irrelevant compounds as early as possible. Acelot's graph-based compound querying and mining suite adds efficiency to any drug development program, increasing productivity and cutting R&D costs for pharmaceutical and biotechnology companies.
Our technology is applicable to many domains including drug discovery, cancer genomic analysis, and social network analysis.
Our solution
We have developed software for graph synthesis from heterogenous data, querying, and mining with immediate applications to drug discovery, social networks and graph databases.
We have developed specific methods for
- Querying graph-based data
- Modeling and statistical mining of graphs
- Topological and geometric characterization of significant subgraphs
Network-based Disease Analysis
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Social Network Analysis
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