Search Results for author: Iain G. Johnston

Found 7 papers, 4 papers with code

Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells

1 code implementation25 Oct 2021 Konstantinos Giannakis, Joanna M. Chustecki, Iain G. Johnston

Here, we asked whether mitochondrial dynamics may allow individual mitochondria to `collect' a full copy of the mtDNA genome over time, by facilitating exchange between individuals.

Optimal strategies in the Fighting Fantasy gaming system: influencing stochastic dynamics by gambling with limited resource

no code implementations24 Feb 2020 Iain G. Johnston

Each round, a limited resource (`luck') may be spent on a gamble to amplify the benefit from a win or mitigate the deficit from a loss.

Intracellular Energy Variability Modulates Cellular Decision-Making Capacity

no code implementations13 Dec 2019 Ryan Kerr, Sara Jabbari, Iain G. Johnston

Here, we consider the energy dependence of a highly generalisable decision-making regulatory network, and show that energy variability changes the sets of decisions a cell can make and the ease with which they can be made.

Decision Making

HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways

2 code implementations28 Nov 2019 Sam F. Greenbury, Mauricio Barahona, Iain G. Johnston

The explosion of data throughout the biomedical sciences provides unprecedented opportunities to learn about the dynamics of evolution and disease progression, but harnessing these large and diverse datasets remains challenging.

Quantitative Methods Genomics Methodology

Mitochondrial network state scales mtDNA genetic dynamics

1 code implementation6 Sep 2018 Juvid Aryaman, Charlotte Bowles, Nick S. Jones, Iain G. Johnston

The role of the resulting mitochondrial networks in the time evolution of the cellular proportion of mutated mtDNA molecules (heteroplasmy), and cell-to-cell variability in heteroplasmy (heteroplasmy variance), remains incompletely understood.

Mitochondrial heterogeneity

no code implementations6 Sep 2018 Juvid Aryaman, Iain G. Johnston, Nick S. Jones

The diverse sources of mitochondrial heterogeneity, as well as their increasingly recognised role in contributing to cellular heterogeneity, highlights the need for future single-cell mitochondrial measurements in the context of cellular noise studies.

Modelling the Self-Assembly of Virus Capsids

1 code implementation10 Oct 2009 Iain G. Johnston, Ard A. Louis, Jonathan P. K. Doye

We use computer simulations to study a model, first proposed by Wales [1], for the reversible and monodisperse self-assembly of simple icosahedral virus capsid structures.

Biomolecules

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