Data is at the core of drug discovery. The field of data science offers a translational opportunity in the discovery domain, when Life Science expertise is combined with statistics, computational algorithms and machine learning. Thus, data science strives to extract appropriate data from vast amount of knowledge available in public and proprietary databases to allow meaningful translation for real life applications.
To solve nuances in biomedical science with clinical implication requires constant time-efficient checks on correctness and redundancy of information. Creation of a comprehensive knowledge-hub aiding in visualisation by virtue of an interactive network is a need of the hour. Genomic medicine approach differentiates monogenic vs multigenic diseases leading to rare genetic disorder (one gene involvement) and common genetic disorder (multiple gene involvement). A data driven strategy provides guidance to (i) locate crosstalk in biology and inherent redundancy; (ii) system adaptation by feed-back and feed-forward signal; (iii) segregate responders from non-responders, against a therapeutic intervention. Through computational analysis, quantitative pattern recognition of perturbation, from homeostasis, offers opportunity to give away potential yet unknown drug target in areas with unmet need.
Data driven dissection of complex biology to decipher
disease pathology at molecular level
Why collaborate with us?
With a track record of 15+ years, our multidisciplinary team has been contributing significantly to help our global clientele advance their scientific discovery programs through informed decision making. Through the culmination of biology, bioinformatics and cheminformatics, for our partners and collaborators, we offer: