Recent progress in nanotechnology and optical imaging offers promising features to develop effective drugs to cure chronic diseases, such as cancer and malaria. However, qualitative characterization of biological organisms (such as molecules) is the foremost requirement to identify key drug targets. One of the most widely used approaches in this domain is molecular pathways, which offers a systematic way to represent and analyse complex biological systems. Traditionally, such pathways are analysed using paper-and-pencil based proofs and simulations. However, these methods cannot ascertain accurate analysis, which is a serious drawback given the safety-critical nature of the applications of molecular pathways. To overcome these limitations, we recently proposed to formally reason about molecular pathways within the sound core of a theorem prover. As a first step towards this direction, we formally expressed three logical operators and four inference rules of Zsyntax, which is a deduction language for molecular pathways. In the current paper, we extend this formalization by verifying a couple of behavioural properties of Zsyntax based deduction using the HOL4 theorem prover and developing a biologist friendly graphical user interface. Moreover, we demonstrate the utilization of our work by presenting the formal analysis of cancer related molecular pathway, i.e., TP53 degradation and metabolic pathway known as Glycolysis.
Special Issue Papers