An integrated approach for inference and mechanistic modeling for advancing drug development.
An important challenge facing researchers in drug development is how to translate multi-omic measurements into biological insights that will help advance drugs through the clinic. Computational biology strategies are a promising approach for systematically capturing the effect of a given drug on complex molecular networks and on human physiology. This article discusses a two-pronged strategy for inferring biological interactions from large-scale multi-omic measurements and accounting for known biology via mechanistic dynamical simulations of pathways, cells, and organ- and tissue level models. These approaches are already playing a role in driving drug development by providing a rational and systematic computational framework.
Aksenov
Sergej V
SV
Gene Network Sciences, Inc. 31 Dutch Mill Road, Ithaca, NY 14850, USA.
Church
Bruce
B
Dhiman
Anjali
A
Georgieva
Anna
A
Sarangapani
Ramesh
R
Helmlinger
Gabriel
G
Khalil
Iya G
IG
D000465:Algorithms; D000818:Animals; D019295:Computational Biology; D015195:Drug Design; D020869:Gene Expression Profiling; D006801:Humans; D008954:Models, Biological