Conference Proceeding

Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy

Citation

Scott E, Nicol J, Coulter J, Hoyle A & Shankland C (2017) Process Algebra with Layers: Multi-scale Integration Modelling applied to Cancer Therapy. In: Bracciali A, Caravagna G, Gilbert D & Tagliaferri R (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science, 10477. CIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Stirling, UK, 01.09.2016-03.09.2016. Cham, Switzerland: Springer, pp. 118-133. https://link.springer.com/chapter/10.1007/978-3-319-67834-4_10; https://doi.org/10.1007/978-3-319-67834-4_10

Abstract
We present a novel Process Algebra designed for multi-scale integration modelling: Process Algebra with Layers (PAL). The unique feature of PAL is the modularisation of scale into integrated layers: Object and Population. An Object can represent a molecule, organelle, cell, tissue, organ or any organism. Populations hold specific types of Object, for example, life stages, cell phases and infectious states. The syntax and semantics of this novel language are presented. A PAL model of the multi-scale system of cell growth and damage from cancer treatment is given. This model allows the analysis of different scales of the system. The Object and Population levels give insight into the length of a cell cycle and cell population growth respectively. The PAL model results are compared to wet laboratory survival fractions of cells given different doses of radiation treatment [1]. This comparison shows how PAL can be used to aid in investigations of cancer treatment in systems biology.

Keywords
Systems Biology; Formal Methods; Mathematical Modelling; Cell Cycle; DNA Damage

StatusPublished
FundersEngineering and Physical Sciences Research Council
Title of seriesLecture Notes in Computer Science
Number in series10477
Publication date31/12/2017
Publication date online17/10/2017
URLhttp://hdl.handle.net/1893/25448
Related URLshttp://www.cs.stir.ac.uk/events/cibb2016/
PublisherSpringer
Publisher URLhttps://link.springer.com/…3-319-67834-4_10
Place of publicationCham, Switzerland
eISSN1611-3349
ISSN of series0302-9743
ISBN9783319678337; 9783319678344
eISBN978-3-319-67834-4
ConferenceCIBB2016: 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics
Conference locationStirling, UK
Dates

Research centres/groups