Literature DB >> 21696623

Review and application of group theory to molecular systems biology.

Edward A Rietman1, Robert L Karp, Jack A Tuszynski.   

Abstract

In this paper we provide a review of selected mathematical ideas that can help us better understand the boundary between living and non-living systems. We focus on group theory and abstract algebra applied to molecular systems biology. Throughout this paper we briefly describe possible open problems. In connection with the genetic code we propose that it may be possible to use perturbation theory to explore the adjacent possibilities in the 64-dimensional space-time manifold of the evolving genome. With regards to algebraic graph theory, there are several minor open problems we discuss. In relation to network dynamics and groupoid formalism we suggest that the network graph might not be the main focus for understanding the phenotype but rather the phase space of the network dynamics. We show a simple case of a C6 network and its phase space network. We envision that the molecular network of a cell is actually a complex network of hypercycles and feedback circuits that could be better represented in a higher-dimensional space. We conjecture that targeting nodes in the molecular network that have key roles in the phase space, as revealed by analysis of the automorphism decomposition, might be a better way to drug discovery and treatment of cancer.

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Year:  2011        PMID: 21696623      PMCID: PMC3149578          DOI: 10.1186/1742-4682-8-21

Source DB:  PubMed          Journal:  Theor Biol Med Model        ISSN: 1742-4682            Impact factor:   2.432


  31 in total

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2.  Unpredictability and undecidability in dynamical systems.

Authors: 
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Review 3.  Graph theory and networks in Biology.

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4.  The human disease network.

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5.  RNA: state memory and mediator of cellular phenotype.

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Journal:  Trends Cell Biol       Date:  2010-04-09       Impact factor: 20.808

6.  Mammalian cell fusion: induction of premature chromosome condensation in interphase nuclei.

Authors:  R T Johnson; P N Rao
Journal:  Nature       Date:  1970-05-23       Impact factor: 49.962

7.  Mammalian cell fusion: studies on the regulation of DNA synthesis and mitosis.

Authors:  P N Rao; R T Johnson
Journal:  Nature       Date:  1970-01-10       Impact factor: 49.962

8.  High-resolution transcription atlas of the mitotic cell cycle in budding yeast.

Authors:  Marina V Granovskaia; Lars J Jensen; Matthew E Ritchie; Joern Toedling; Ye Ning; Peer Bork; Wolfgang Huber; Lars M Steinmetz
Journal:  Genome Biol       Date:  2010-03-01       Impact factor: 13.583

9.  Functional modularity of nuclear hormone receptors in a Caenorhabditis elegans metabolic gene regulatory network.

Authors:  H Efsun Arda; Stefan Taubert; Lesley T MacNeil; Colin C Conine; Ben Tsuda; Marc Van Gilst; Reynaldo Sequerra; Lynn Doucette-Stamm; Keith R Yamamoto; Albertha J M Walhout
Journal:  Mol Syst Biol       Date:  2010-05-11       Impact factor: 11.429

10.  Bidirectional promoters generate pervasive transcription in yeast.

Authors:  Zhenyu Xu; Wu Wei; Julien Gagneur; Fabiana Perocchi; Sandra Clauder-Münster; Jurgi Camblong; Elisa Guffanti; Françoise Stutz; Wolfgang Huber; Lars M Steinmetz
Journal:  Nature       Date:  2009-01-25       Impact factor: 49.962

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  11 in total

1.  A group-theoretical notation for disease states: an example using the psychiatric rating scale.

Authors:  Jitsuki Sawamura; Shigeru Morishita; Jun Ishigooka
Journal:  Theor Biol Med Model       Date:  2012-07-09       Impact factor: 2.432

2.  Three-Dimensional Algebraic Models of the tRNA Code and 12 Graphs for Representing the Amino Acids.

Authors:  Marco V José; Eberto R Morgado; Romeu Cardoso Guimarães; Gabriel S Zamudio; Sávio Torres de Farías; Juan R Bobadilla; Daniela Sosa
Journal:  Life (Basel)       Date:  2014-08-11

3.  A group matrix representation relevant to scales of measurement of clinical disease states via stratified vectors.

Authors:  Jitsuki Sawamura; Shigeru Morishita; Jun Ishigooka
Journal:  Theor Biol Med Model       Date:  2016-02-09       Impact factor: 2.432

4.  Personalized anticancer therapy selection using molecular landscape topology and thermodynamics.

Authors:  Edward A Rietman; Jacob G Scott; Jack A Tuszynski; Giannoula Lakka Klement
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Review 5.  Modeling small cell lung cancer (SCLC) biology through deterministic and stochastic mathematical models.

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Journal:  Oncotarget       Date:  2018-05-25

6.  A symmetry model for genetic coding via a wallpaper group composed of the traditional four bases and an imaginary base E: towards category theory-like systematization of molecular/genetic biology.

Authors:  Jitsuki Sawamura; Shigeru Morishita; Jun Ishigooka
Journal:  Theor Biol Med Model       Date:  2014-05-07       Impact factor: 2.432

7.  Genome scale modeling in systems biology: algorithms and resources.

Authors:  Ali Najafi; Gholamreza Bidkhori; Joseph H Bozorgmehr; Ina Koch; Ali Masoudi-Nejad
Journal:  Curr Genomics       Date:  2014-04       Impact factor: 2.236

Review 8.  Future paradigms for precision oncology.

Authors:  Giannoula Lakka Klement; Knarik Arkun; Dalibor Valik; Tina Roffidal; Ali Hashemi; Christos Klement; Paolo Carmassi; Edward Rietman; Ondrej Slaby; Pavel Mazanek; Peter Mudry; Gabor Kovacs; Csongor Kiss; Koen Norga; Dobrin Konstantinov; Nicolas André; Irene Slavc; Henk van Den Berg; Alexandra Kolenova; Leos Kren; Jiri Tuma; Jarmila Skotakova; Jaroslav Sterba
Journal:  Oncotarget       Date:  2016-07-19

9.  Symmetry and symmetry breaking in cancer: a foundational approach to the cancer problem.

Authors:  J James Frost; Kenneth J Pienta; Donald S Coffey
Journal:  Oncotarget       Date:  2017-12-05

10.  Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.

Authors:  Elizabeth J Brant; Edward A Rietman; Giannoula Lakka Klement; Marco Cavaglia; Jack A Tuszynski
Journal:  PLoS One       Date:  2020-03-19       Impact factor: 3.240

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