To Browse through specific lists, the search terms can be prefixed with following letters:
d: for diseases m: for molecules p: for pathways c: for cell lines v: for interaction terms d: for diseases m: for molecules p: for pathways c: for cell lines v: for interaction terms
*Search for genes, compounds, disease, cell/cell lines, organ, disease, pathway, process. (E.g CDK5)
About NetPro™
NetPro™ developed at Molecular Connections, offers solutions for the pharmaceutical and life sciences industries/researchers to streamline and speed up the drug discovery process.
NetPro™ Application Areas:
Custom curation
Expert Curation & Analysis Services are scientific services that can help expedite your research programs. The key value proposition is to leverage the ability to interpret and analyze your organization's research/experimental data and correlate it with our vast Knowledge Platforms unearthing new connections to be found and novel hypotheses to be generated. .
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NetPro™ is a manually curated interaction database with data from PubMed literature. NetPro™ is unique compared to other databases with respect to the extent of details it provides for each interaction. One such feature unique to NetPro™ is the kinetic details provided for each interaction. This analysis aims at exploring the utility of such data provided in NetPro™ in the physiological scenario.
The analysis highlights the utility of interaction databases and more so, the kinetic details available for the interaction in understanding the interference with in the drug metabolism networks. The Ki details of an molecule on a drug metabolizing enzyme would enable one to decide on the dosage to be administered. The half life value for a given drug would assist in determining the time gap to be present between administration of two drugs that would interfere with each other. Kinetic data like this would of immense value in taking judicious decisions in cases where combination therapies are to be prescribed. This study emphasizes the utility of such kinetic data in interaction databases in the drug related studies.
The data in NetPro™ can be used to identify molecules with therapeutic potential against identified targets in disease conditions. Kinetic data available for these molecules would enable identification of the most potent molecules from a group of potential agents.
Pro-inflammatory cytokines that are produced predominantly by activated immune cells such as microglia and involved in the amplification of inflammatory reactions form interesting targets in many inflammatory conditions.
This study highlights the applicability of kinetic data in NetPro™ to arrive at meaningful inferences related to drug discovery, drug interference etc. which goes a long way in planning relevant experiments and reducing experiments with not so significant impact. This note reflects just a small proportion of the utility of the kinetic data in NetPro™ and the data is sure to find many more applications in fields of pharmaceutical research like drug discovery, dose response, pharmacokinetic and pharmacogenetic aspects.
The current study explores the possible ways in which a vast amount of existing data can be analyzed, when systematic access to such data is made available through databases. The current analysis of the data in NetPro™, with specific
emphasis on the Quntitative/Qualitative data that highlight the importance of studying the relative difference in a given interaction caused by certain factors or conditions or the interacting molecule themselves, provide ample evidence for the necessity of the availability of such data for appropriate analysis of interactions. The study highlights the utility of databases where such vital information is captured and their significance in studies related to pharmacogenetics, pharmacokinetics, candidate drug identification, dose responses etc. Such data also subtly hints at certain possibilities and opens up new vistas, which might have gone unnoticed in the absence of a comprehensive outlook of the interactions.