Computational Biology Methods for Drug Discovery (CBDD)
Power drug discovery and development.
Provided by: Clarivate
Let your scientists focus on drug discovery instead of building computational tools with the Computational Biology Methods for Drug Discovery (CBBD) program by Clarivate Consulting Services, which is focused on the implementation of advanced state-of-the-art approaches for network and pathway analysis of OMICs data – bringing together OMICs data, pathway and network knowledge databases and tools for OMICs data analysis.
Inform your research with relevant insights and tools.
Gain access to the best systems biology approaches, including many of the most important methods developed for network analysis of OMICs data over the past 10 years.
Leverage algorithms that have been implemented in the convenient, well-supported R package, which can be easily applied to networks and pathways represented in standard formats.
Maximize utility of internal and external network/pathway information resources, and increase the value of OMICs data analysis using a range of network methods.
Benefit from a collaborative source of OMICs data and analysis.
Systematically prioritize the repositioning of all known drugs for an indication of interest using a unique computational model that combines extensive bioinformatics and commercial evidence with advanced proprietary analytics.
Collaborate with the best scientists in industry and academia to curate and map the biological pathways underlying diseases and develop both a literature base of understanding and an analytics platform to study protein-protein interactions and pathways in hot disease areas.
Transform a list of molecules into a story, connect protein abundance changes and determine how they affect pathways, and interpret networks using experimental results identified using an integration with MetaCore.
Access comprehensive protein kinase data you need using the largest archive of structure-activity relationship (SAR) data focused on protein kinases. The Kinase Knowledgebase contains over 1.96 million SAR data points on over 374,000 unique small molecule kinase modulators, which have been curated from >9450 journal articles and patents.
