2015
DOI: 10.14419/ijsw.v3i1.4356
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Use of Büchi automata and randomness for the description of biological processes

Abstract: The main topic of this study is the modelling and verification of biological systems using ω-automata. This work focuses on the protein folding problem and the infinite behaviour it features in many cases. Specifically, stochastic computational models with infinite input are used in this paper's approach and indicative aspects of a biological problem are presented using both ω-automata and probabilistic Büchi automata (PBAs), making a novel attempt to establish their use in reasoning about biological processes… Show more

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Cited by 5 publications
(12 citation statements)
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References 62 publications
(73 reference statements)
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“…Finally, in this chapter we present a simple example with the novelty of combining Büchi automata with biological processes (Giannakis & Andronikos, 2015c) by associating them to specific functionalities, as explained through examples. Some of the definitions and the references in this chapter were taken from the published work in (Giannakis & Andronikos, 2015c) in the journal "International Journal of Scientific World" in 2015.…”
Section: Theory Of Computationmentioning
confidence: 99%
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“…Finally, in this chapter we present a simple example with the novelty of combining Büchi automata with biological processes (Giannakis & Andronikos, 2015c) by associating them to specific functionalities, as explained through examples. Some of the definitions and the references in this chapter were taken from the published work in (Giannakis & Andronikos, 2015c) in the journal "International Journal of Scientific World" in 2015.…”
Section: Theory Of Computationmentioning
confidence: 99%
“…In particular, these are the works in ,b, 2016, Theocharopoulou & Giannakis, 2012, Giannakis & Andronikos, 2015c. The work in was co-authored by Christos Papalitsas and Theodore Andronikos, the by Christos Papalitsas, Kalliopi Kastampolidou, Alexandros Singh, and Theodore Andronikos, the journal paper described in (Giannakis et al, 2016) was co-authored by Georgia Theocharopoulou, Christos Papalitsas, Theodore Andronikos, and Panayiotis Vlamos, and the (Giannakis & Andronikos, 2015c by Theodore Andronikos.…”
mentioning
confidence: 99%
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