Intelligently deciphering unintelligible designs: algorithmic algebraic model checking in systems biology.
Systems biology, as a subject, has captured the imagination of both biologists and systems scientists alike. But what is it? This review provides one researcher's somewhat idiosyncratic view of the subject, but also aims to persuade young scientists to examine the possible evolution of this subject in a rich historical context. In particular, one may wish to read this review to envision a subject built out of a consilience of many interesting concepts from systems sciences, logic and model theory, and algebra, culminating in novel tools, techniques and theories that can reveal deep principles in biology--seen beyond mere observations. A particular focus in this review is on approaches embedded in an embryonic program, dubbed 'algorithmic algebraic model checking', and its powers and limitations.
Mishra
Bud
B
Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA. mishra@nyu.edu
D000465:Algorithms; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*