In Silico Biology
Journal of Biological Systems Modeling and Simulation
|Volume||12; 6 issues|
|Status||Last issue 11(5,6) online on 21 Jan 2013
Next issue 12(1) scheduled for March 2013
|Subject Group||Biochemistry, Medicine & Health|
In Silico Biology is a scientific research journal aiming to advance the use of computational models and simulations in studies of complex biological phenomena. We publish peer-reviewed leading-edge biological, biomedical and biotechnological research in which computer-based (i.e., “in silico”) modeling and analysis tools are developed or applied to generate new knowledge about biological systems dynamics, design and control.
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ISB’s targeted audience is comprised of users of the application of theoretical, mathematical and computational tools onto biological systems.
For over 25 years IOS Press has been serving the scientific community worldwide. IOS Press publishes approximately 120 new books each year and around 100 international journals, covering topics ranging from computer science and mathematics to medicine and the natural sciences.
All titles are available online as well as in print. Many titles are listed in the most important abstracting databases, such as Thomson Reuters, MEDLINE and Scopus.
Headquartered in Amsterdam with satellite offices in the USA, Germany, India and China, IOS Press has established several strategic co-publishing initiatives. Notable acquisitions included Delft University Press in 2005 and Millpress Science Publishers in 2008.
IOS Press journals are available through the highly-regarded MetaPress platform. We offer our complete ejournals collection of journals at a deep discount.
IOS Press is committed to support the computational biology community and will provide free open access to all published papers that were submitted for review prior to Jan 1, 2014. A fee may be applied for open access after that date (the current fee is €900 or US$1250).
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Aims & Scope
In Silico Biology is a scientific research journal for the advancement of computational models and simulations in studies of complex biological phenomena. We publish peer-reviewed leading-edge biological, biomedical and biotechnological research in which computer-based (i.e., “in silico“) modeling and analysis tools are developed and applied to generate new knowledge about biological systems dynamics, their design and control, and their evolution.
Studies published in In Silico Biology generally use theoretical models and computational analysis to gain quantitative insights into molecular processes regulatory networks, cell physiology and morphology, tissue dynamics and organ systems. Specific areas of interest include signal transduction and information processing, gene expression and gene regulatory networks, metabolism, differentiation and morphogenesis, among others.
In Silico Biology also publishes foundational research in which novel algorithms are developed to facilitate modeling and simulations. Such research must demonstrate application to a concrete biological problem. Reports on software development are also considered but only in exceptional circumstances. These circumstances must be described in the Letter to the Editor-in-Chief.
In Silico Biology frequently publishes special issues on seminal topics and trends. Special issues are handled by Special Issue Editors appointed by the Editor-in-Chief. Proposals for special issues should be sent to the Editor-in-Chief.
About In Silico Biology
The term “in silico” is a pendant to “in vivo” (in the living system) and “in vitro” (in the test tube) biological experiments, and implies the gain of insights by computer-based simulations and model analyses.
In Silico Biology (ISB) was founded in 1998 as a purely online journal. IOS Press became the publisher of the printed journal shortly after. Today, ISB is dedicated exclusively to biological systems modeling and simulations and is published solely by IOS Press. The previous online publisher, Bioinformation Systems, maintains a website containing studies published between 1998 and 2010 for archival purposes.read more
Jack Leunissen †
Institute for Systems Biology, USA
Diego di Bernardo
David Gómez Míguez