comsys 12(1): e4

Research Article

Molecular diversity classification via information theory: A review

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  • @ARTICLE{10.4108/trans.cs.2012.10-12.e4,
        author={F. Torrens and G. Castellano},
        title={Molecular diversity classification via information theory: A review},
        journal={EAI Endorsed Transactions on Complex Systems},
        volume={1},
        number={1},
        publisher={ICST},
        journal_a={COMSYS},
        year={2012},
        month={11},
        keywords={information theory, information entropy, molecular diversity, molecular classification, category theory, periodic table.},
        doi={10.4108/trans.cs.2012.10-12.e4}
    }
    
  • F. Torrens
    G. Castellano
    Year: 2012
    Molecular diversity classification via information theory: A review
    COMSYS
    ICST
    DOI: 10.4108/trans.cs.2012.10-12.e4
F. Torrens1,2, G. Castellano3,4
  • 1: Institut Universitari de Ciència Molecular, Universitat de València, Edifici d’Instituts de Paterna, P. O. Box 22085, E-46071
  • 2: València, Spain
  • 3: Cátedra Energesis de Tecnología Interdisciplinar, Universidad Católica de Valencia San Vicente Mártir, Guillem de Castro-
  • 4: 94, E-46001 València, Spain

Abstract

Complexity definitions introduce context dependence. Molecular diversity is reviewed focusing on information theory. Compound set is viewed as static microstate collection registering information about environment. Method tends to oversample remote feature space and produce unbalanced designs. Results show limitation and provide rationale for failure. Affinity includes traverse ease via chreodes to effector. Lag results because of time/concentration needed for drug to displace transmitter molecules from chreodes. Molecules unfit for system are excluded from effector not fitting chreode patterns. Enzyme catalytic products leave active site at faster rate via chreodes minimizing delay of diffusioncontrolled rate limitation. Interdisciplinary research in systems biology promises insights into life, evolution and disease organizational principles. Complex disorders represent umbrella terms for collections of conditions caused by rare, recent mutations in any of large number of genes.