Physics of Life Reviews

Journal: Physics of Life Reviews

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Elsevier

ISSN

1571-0645
1873-1457

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Publications1 - 7 of 7

Why interdisciplinary research enriches the study of crime Comment on “Statistical physics of crime: A review” by M.R. D’Orsogna and M. Perc
Donnay, Karsten (2015)
Physics of Life Reviews
Cities' influence on spatial epidemics: Comment on “Pattern transitions in spatial epidemics: Mechanisms and emergent properties” by Gui-Quan Sun et al.
Podobnik, Boris; Lipic, Tomislav; Bojic, Iva; et al. (2016)
Physics of Life Reviews
The search for universality in evolutionary landscapes Comment on "From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics" by Susanna Manrubia, Jose A. Cuesta, et al.
Manhart, Michael; Bonhoeffer, Sebastian (2021)
Physics of Life Reviews
The long and winding road to understanding organismal construction Reply to comments on "From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics" comment
Manrubia, Susanna; Cuesta, José A.; Aguirre, Jacobo; et al. (2022)
Physics of Life Reviews
From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
Manrubia, Susanna; Cuesta, José A.; Aguirre, Jacobo; et al. (2021)
Physics of Life Reviews
Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution. We refer to this generally as the problem of the genotype-phenotype map. Though we are still far from achieving a complete picture of these relationships, our current understanding of simpler questions, such as the structure induced in the space of genotypes by sequences mapped to molecular structures, has revealed important facts that deeply affect the dynamical description of evolutionary processes. Empirical evidence supporting the fundamental relevance of features such as phenotypic bias is mounting as well, while the synthesis of conceptual and experimental progress leads to questioning current assumptions on the nature of evolutionary dynamics—cancer progression models or synthetic biology approaches being notable examples. This work delves with a critical and constructive attitude into our current knowledge of how genotypes map onto molecular phenotypes and organismal functions, and discusses theoretical and empirical avenues to broaden and improve this comprehension. As a final goal, this community should aim at deriving an updated picture of evolutionary processes soundly relying on the structural properties of genotype spaces, as revealed by modern techniques of molecular and functional analysis.
Synchronization: When is it more than an epiphenomenon? A modelling approach. Comment on "the evolution of social timing" by L. Verga, S. A. Kotz & A. Ravignani
Burkart, Judith M.; Brügger, Rahel K.; Phaniraj, Nikhil (2023)
Physics of Life Reviews
What can AI learn from bionic algorithms?: Comment on “Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations” by Chao Gao et al.
Tang, Chang-Bing; Zhang, Yan; Wang, Lin; et al. (2019)
Physics of Life Reviews

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Journal: Physics of Life Reviews

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