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Jonathan Blakes

dblp:97/5022 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
parameter optimization
0.012011
The Infobiotics Workbench: an integrated in silico modelling platform for Systems and Synthetic Biology · Bioinform. 2011

Methods — techniques the papers use, named apart from their topics

stochastic simulation · 0.1probabilistic model checking · 0.1numerical integration · 0.1evolutionary algorithm · 0.1
YearPublicationVenuePosition
2011 The Infobiotics Workbench: an integrated in silico modelling platform for Systems and Synthetic Biology
abstract
SUMMARY: The Infobiotics Workbench is an integrated software suite incorporating model specification, simulation, parameter optimization and model checking for Systems and Synthetic Biology. A modular model specification allows for straightforward creation of large-scale models containing many compartments and reactions. Models are simulated either using stochastic simulation or numerical integration, and visualized in time and space. Model parameters and structure can be optimized with evolutionary algorithms, and model properties calculated using probabilistic model checking. AVAILABILITY: Source code and binaries for Linux, Mac and Windows are available at http://www.infobiotics.org/infobiotics-workbench/; released under the GNU General Public License (GPL) version 3. CONTACT: [email protected].
Jonathan Blakes, Jamie Twycross, Francisco José Romero-Campero, Natalio Krasnogor
Bioinform.1
2008 A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics
abstract
Compartmentalisation is thought to have been a crucial step in the origin of life. To help us bridge the gap between selfassembly processes behind the formation of bio-compartments and metabolic and information bearing processes we refer to DPD and P Systems Simulations. In this paper we computational formalism (P Systems) with a molecular scale model (Dissipative Particle Dynamics) by linking the membranes which delimit the cellular regions within P Systems to self-assembled phospholipid based vesicles in DPD. We test the platform by modelling a passive transport process involving vesicles containing membrane inclusions similar to pore complexes such as α-hemolysin. In doing so, we illustrate the usefulness of the modelling approach and derive a more realistic parameter set for the P system through the dissipative particle dynamics simulation.
James Smaldon, Jonathan Blakes, Natalio Krasnogor, Doron Lancet
GECCO2