Aims & Scope
In Silico Biology is a scientific research journal for the advancement of computational models and simulations applied to 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 utilized to predict and elucidate dynamics of biological systems, their design and control, and their evolution. Experimental support may also be provided to support the computational analyses.
In Silico Biology aims to advance the knowledge of the principles of organization of living systems. We strive to provide computational frameworks for understanding how observable biological properties arise from complex systems. In particular, we seek for integrative formalisms to decipher cross-talks underlying systems level properties, ultimate aim of multi-scale models.
Studies published in In Silico Biology generally use theoretical models and computational analysis to gain quantitative insights into regulatory processes and networks, cell physiology and morphology, tissue dynamics and organ systems. Areas of interest include signal transduction and information processing, gene expression and gene regulatory networks, metabolism, proliferation, differentiation and morphogenesis, among others. Multi-scale modeling to connect molecular and cellular systems to the level of organisms and populations, interface between -omics integration and modeling, and development of algorithms for modeling purposes are of particular interest.
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.
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 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.
Jack Leunissen †
Diego di Bernardo
David Gómez Míguez
Academic Source Complete
Cabell's Guide or Directory
Chemical Abstracts Service
Chemical Abstracts Service (CAS)
Microsoft Academic Search
Ulrich's Periodicals Directory
Web of Science: Biological Abstracts
Web of Science: BIOSIS Previews
In Silico Biology Peer Review Policy
In Silico Biology is a peer-reviewed journal. All articles submitted to the journal undergo a single blind peer review process. This means that the identity of the authors is known with the reviewers but the identity of the reviewers is not communicated to the authors. Please visit our reviewer guidelines for further information about how to conduct a review.
After automatic plagiarism screening through iThenticate, all submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further consideration, to rigorous peer-review by independent, anonymous expert referees. Reasons to reject a paper in the pre-screening process could for example be because the work does not fall within the aims and scope, the writing is of poor quality, the instructions to authors were not followed or the presented work is not novel.
Papers deemed suitable to be reviewed will be assigned a handling editor. The handling editor will then invite reviewers to comment on the work. Typically decisions are based on three reviews, in some circumstances a minimum of two reviews may be deemed sufficient to make a decision on a paper. The Editor-in-Chief strives to ensure a typical turnaround time of 3 months from submission until first decision.
Reviewers are asked to judge a paper on at least:
- Originality, novelty and significance of results
- Technical quality of work
- Comprehensibility and presentation of the paper
- Overall impression
Based on the received reviews the handling editor will propose to the Editor-in-Chief a recommendation:
- Accept as is
- Accept pending minor revisions
- Resubmit after major revisions
- Reject outright
They mean the following:
- Accept as is: The manuscript is suitable for publication and only requires minor polishing; thus, no further reviews are requested.
- Accept pending minor revisions: The authors are required to make moderate changes to their manuscript. The manuscript becomes acceptable for publication if the changes proposed by the reviewers and editors are successfully addressed. The revised manuscript will be examined by the Editor-in-Chief and possibly sent back to all (or a selection of) reviewers for a second round of reviews. Authors are requested to provide a letter to the reviewers detailing the improvements made for the resubmission.
- Resubmit after major revisions: The manuscript cannot be accepted for publication in its current form. However, a major revision which addresses all issues raised by the reviewers may be acceptable for publication. The revised manuscript will undergo a full second round of review. Authors are requested to provide a letter to the reviewers detailing the improvements made for the resubmission.
- Reject outright: The manuscript is rejected as it is deemed to be out of scope, not relevant, or not meeting the journal’s quality standards in terms of significance, novelty, and/or presentation.
Authors are notified by the Editor-in-Chief, whose decision is final.
Mailings & Sign Ups: If you do not already receive the ISB newsletter, we invite you to sign up to receive notification of new ISB issues, plus other related news. Sign up via this link. You can read the latest newsletter here.
Free open access will be provided to all papers submitted for review prior to Dec 31, 2023.
Discover the contents of the latest journal issue:
Cancer immunoediting: A game theoretical approach
Javad Salimi Sartakhti, Fatemeh Tavakoli, Mohammad Hossein Manshaei, David Basanta
Modeling and characterization of inter-individual variability in CD8 T cell responses in mice
Daphné Laubreton, Chloe Audebert, Christophe Arpin, Olivier Gandrillon, Jacqueline Marvel, Fabien Crauste
A computational framework for finding parameter sets associated with chaotic dynamics
E. Dimitrova, S. Koshy-Chenthittayil, E.W. Jenkins, B.C. Dean