Semantic Laboratories
Solutions for Drug Discovery Research Intelligence

 info@semanticlaboratories.com
La Jolla, CA

About Us

Semantic Laboratories is a drug discovery informatics consulting group which provides IT and research computing products and services to early-stage and medium-sized biotechnology organizations. These services include custom integration, analysis and informatics development to support the drug discovery data solutions available from both commercial and open-source bioinformatics, cheminformatics and pharmacoinformatics platform.

Pharmaceutical research has evolved into a series of overlapping discovery processes organized across diverse scientific disciplines (including genomics, chemical screening, medicinal chemistry, pharmacology and pharmacogenetics) which are applied to a wide diversity of therapeutic areas. Scientific review of results integrated from historic, systematic and newly generated experiments form the basis for all decision-making by interdisciplinary project teams.

However, the efforts required to synthesize and make this knowledge accessible and re-usable has become a significant bottleneck in the goal to increase research productivity and improving the accuracy of research decision making.  As the scale of data generation in the laboratory continues to expand, the problems in research data access and integration will continue to be a major impediment.

To address these challenges, Semantic Laboratories continues to integrate and develop solutions for the discovery and integration of research knowledge. These solutions integrate commercial and open source components and standards-based data semantic technologies including domain object-role modeling, scientific ontologies, data mediation and scientific workflows with traditional pharmaceutical data management solutions to provide a richer and more meaningful framework for the refactoring and integration of data generated throughout the drug discovery process.  This integration allows drug discovery research teams to access and integrate diverse data resources and retrieve data to perform broad domain-specific meta-analysis using experiment data stored in corporate databases and available from public domain repositories.