Select White Papers
- Self – Diagnostic Medical Devices : A Landscape Study by Molecular Connections – Chosen and published on WIPO Portal
A few innovative and prospective technologies in the field of Self – Diagnostic Medical Devices have the potential to be game changers for business over the next decade. Molecular Connections has conducted a comprehensive study to provide vital insights in this domain.
- Substrate Competing For Metabolizing Enzymes
A particular CYP might act on more than one substrate with differing affinities and a competition between substrates could lead to a decreased metabolism of one or more substrates. CYP3A4 is approximately 60 times more efficient in metabolizing Perospirone compared to CYP2C8 and 10 times more efficient compared to CYP2D6.
- Predicting Potential Therapeutic Agents And The Most Potent Molecules Among Them
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. Some of the most common cytokines targeted in various disease conditions include TNF, Il6 and IL8. This study aims at identifying various molecules that could target inhibit these cytokines and hence could be of therapeutic significance.
- Elucidating The Role Of CREBBP Co-Activator In Erythroid Differentiation By Literature Mining And Analysis
The two highly related nuclear proteins CREB binding protein (CBP or CREBBP) and p300 are co-activators that possess histone acetyltransferase activity. We have used literature mining successfully to unravel various biological processes and provide a concise view of regulation of the physiological networks. In this study of network analysis using MINE we show CBP as a molecular integrator of hematopoietic differentiation. Several transcription factor nodes through which the master regulatory cofactor CBP binds and modulates the expression or activity of downstream genes involved in erythrocyte differentiation have been elucidated.
- NetPro™Based Analysis Of Probable Interaction Networks Involved In Pathology Of Alzheimer’s Disease: Predicting Targets And Therapeutic Agents
The analysis is aimed at generating an interaction network depicting the plausible molecular events leading to the development of the disease condition and narrowing down on molecules that might be important targets or therapeutic agents for this disease, based on the network generated. Towards this end, hand curated data from a commercially available bi-molecular interaction database NetPro™ that contains protein-protein and protein-small molecule interactions, was used to understand interaction network(s) of a set of genes, specifically shown to be differentially regulated in Alzheimer disease patients in a microarray study done by Colangelo V et al (2002).
- Protein Variants And Disease Associations
A survey analysis of potentially important plasma protein concentrations compiled in the database has allowed us to identify and validate potential biomarker-disease associations. Most importantly, protein variant forms could also be associated with a disease condition. These include oligomeric status, cleavage products, genetic variants, splice variants, alternate glycoforms etc. A frequently asked question with respect to changes in posttranslational modification patterns such as glycosylation and its association with a particular disease has been addressed in our analysis.
- XTractor Premium – a Knowledgebase of manually annotated biomedical relationships updated everyday from PubMed abstracts
Molecular Connections’ XTractor Premium is a platform for discovery, analysis and modelling of published biomedical facts from PubMed. XTractor enables scientists to cut short their time on data analysis and helps them to stay up-to-date with the most recent published scientific data from PubMed. XTractor Premium provides manually annotated relationships on Biomarkers, knockout studies, mutations, disease mechanisms, pathways, clinical trials and much more. The underlying knowledge base consisting of more than 150,000 relationships on interactions, regulations, and modulations between the biomedical entities is updated everyday with the relationships from the latest publications in PubMed.