Computational and Mathematical Biophysics

Why submit

As an Author of Computational and Mathematical Biophysics, You benefit from

• fair and constructive peer review
• quick online publication of accepted papers (continuous publication model)
• language polishing services upon acceptance for authors from non-English speaking regions
• no limitations on colour figures and word count in published articles
• all articles are freely available to the academic community worldwide without any restrictions
• promotion of published papers to readers and citers
• distribution to open access directories (such as DOAJ) and thousands of libraries worldwide
• liberal policies on copyrights (authors retain copyright) and on self-archiving (no embargo periods)
• secure archiving by De Gruyter and the independent archiving service Portico

Article Processing Charges

In order to sustain the publishing process, each article accepted for publication in Computational and Mathematical Biophysics is subject to an Article Processing Charge of €500 (to all new submissions until　31 December 2024). The new APC of €750 shall apply from 1 January 2025 (for new manuscripts only). This fee is used to cover the costs of manuscript processing, professional typesetting and copyediting, as well as online hosting, long-term preservation, and extensive promotion to potential readers. There is no submission fee. Information regarding payment of the charge will be provided following acceptance for publication.　
For more information please go to Article Processing Charges.

Publication Ethics and Editorial Policies

Detailed information on Editorial Policy, Publication Ethics, Instructions for Authors etc. can be found in the Supplementary Materials section.

For more information on De Gruyter Publishing Ethics, please see the De Gruyter Guidelines online here.

Special Issues

The mission of Computational and Mathematical Biophysics is to publish the highest quality work that promotes the development of theoretical formulations, mathematical models, numerical algorithms, and computational techniques for elucidating molecular mechanisms and for solving open problems at the forefront of molecular bioscience and biophysics.

Aims and Scope

Computational and Mathematical Biophysics publishes original articles, letters, and reviews that concern the application of computational and mathematical approaches to important problems in molecular bioscience and biophysics, such as biomolecular structure and function, solvation, electrostatics, biomolecular dynamics and transport, ion channels, membrane transporters, protein interactions with ligands, proteins, and nucleic acids, signaling, genomic biophysics, cryo-electron microscopy, molecular motors, and rational drug design. Theoretical, computational, and mathematical studies, that can improve the understanding of experimental results or simulate systems for which experiments are intractable, are particularly welcomed.

Studies of molecular bioscience and biophysics from all areas of computational and mathematical sciences are appropriate, including differential equations, functional analysis, harmonic analysis, Lie group, Lie algebra, geometry, graph theory, topology, multiscale modeling, inverse problem, optimization, stochastic analysis, uncertainty quantification, statistical inference, nonparametric regression, imaging, visualization, linear programming, combinatorics, fuzzy logic, Monte Carlo, molecular dynamics, machine learning, manifold learning, data mining, big data analysis, high-performance computing, software and database development.