Special Issue "Multiscale Modeling and Simulation in Computational Biology"
Deadline for manuscript submissions: closed (30 September 2014)
Dr. Chong Wang
Research Associate in Computational Biology, Technische Hochschule Wildau, Technical University of Applied Sciences, Wildau, Germany
Interests: bioinformatics; modeling and simulation in biology; computational structural biology; systems biology; molecular docking and drug design; high performance computing in life sciences
Computational biology is concerned with the modeling and simulation of biological phenomena, processes and systems. Modeling refers to the process that creates a model representing some important features of a biological system. Simulation is the process that uses a model to determine the response of the modeled biological system to certain conditions, inputs or perturbations. In conventional monoscale modeling and simulation approaches, the scope and validity of a biological model is restricted to a specific time and space scale, and/or a particular level of biological organization (e.g., gene transcription). The scale focus of monoscale approaches provides an effective means to simplify the modeling and simulation process. As the need for a detailed mechanistic understanding of biological function grows, the single-scale limitation of conventional modeling and simulation approaches is no longer adequate. The realization that many biological problems of interest require a modeling and simulation approach spanning multiple levels of biophysical reality has led to a new methodology called multiscale modeling and simulation. Multiscale modeling and simulation in computational biology aims to describe and understand life phenomena at a global scale where biological function is recognized as a result of complex mechanisms that happen at several scales, from the molecular to the ecosystem level. Modeling and simulation concepts, methods and tools are invaluable for describing, understanding and predicting these mechanisms in a quantitative and integrative way. There is growing community of computational biologists that research, develop and use multiscale modeling and simulation concepts, methods, tools and systems. The aim of this special issue of Computation is to solicit contributions of original research in the area of multiscale modeling and simulation in computational biology. Specific topics include but are not limited to:
- Multiscale modeling of biological and biomedical systems and processes.
- Novel approaches for combining multiple models and scales.
- Advanced numerical techniques for solving multiscale biological problems.
- Automated techniques for reverse-engineering multiscale biological models.
- Analysis, evaluation and validation of multiscale biological models and simulations.
- Multiscale simulation/computing environments, frameworks and architectures.
- Technologies supporting distributed multiscale computing using cloud- and grid-based computing environments.
- E-infrastructures for distributed multiscale computing (computing, storage, networking).
- Dedicated multiscale computing services and resources.
- Technologies facilitating semantic interoperation of multiscale biological models and simulations, including model and data sharing.
- Systematic analyses of emerging and future requirements for multiscale modeling and simulation in computational biology.
Prof. Dr. Werner Dubitzky
Dr. Chong Wang
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- computational biology
- systems biology
- multiscale modeling and simulation
- scale bridging
- scale linking
- multiscale dynamics
- multiscale computing
- complex systems
- large-scale computing
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Type of Paper: Article
Authors: Stephen Pankavich et al.
Title: Multiscale Methods for the Simulation of Hierarchical and Mesoscopic Biological Systems
Abstract: Many N-atom systems derive their structural and dynamical properties from processes coupled across multiple scales in space and time. That is, they simultaneously deform or display collective behaviors, while experiencing atomic scale vibrations and collisions. We present two recent multiscale methods, stemming from the N-atom formulation and an underlying scale separation, that can be used to study such systems in a friction dominated regime - Multiscale Perturbation Theory and Multiscale Factorization. These new analytic foundations also provide a self-consistent approach to yield long-time simulations with atomic detail for a variety of multiscale phenomena, such as structural transitions and self-assembly. As such, we demonstrate the accuracy and efficiency of the associated algorithms for a few representative biological systems, including Satellite Tobacco Mosaic Virus (STMV) and Lactoferrin.
Title: Simulation Frameworks for Morphogenetic Problems
Authors: Iber Dagmar, Tanaka Simon
Abstract: One of the major challenges in biology concerns the integration of data across length and time scales into a consistent framework: how do macroscopic properties and functionalities arise from the molecular regulatory networks – and how do they evolve? Morphogenesis provides an excellent model system to study how simple molecular networks robustly control complex pattern forming processes on the macroscopic scale in spite of molecular noise, and how important functional variants can evolve from small genetic changes. Recent advancements in 3D imaging technologies, computer algorithms, and computer power now allow us to develop and analyse increasingly realistic models of biological control. Here we review available simulation frameworks that permit the simulation of morphogenetic problems at different levels of detail, and we will provide an outlook to further developments in light of current limitations.