Feature Papers in Computational Biology
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Biology".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 402
Special Issue Editors
Interests: system immunology; virus infections; mathematical modelling
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data integration; bioinformatics; systems biology
2. Visiting Professor of Systems Biology, Faculty of Science and Engineering, Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
Interests: computational systems biology; bioinformatics; metabolomics; dynamic modelling; synthetic biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Feature Papers in Computational Biology", aims to present cutting-edge research that utilizes computational methods to address critical questions in biology. We welcome contributions that encompass a broad range of topics, including but not limited to, systems biology, bioinformatics, computational genomics, structural bioinformatics, and machine learning applications in biological data analysis.
Advances in computational biology heavily rely on the development of powerful methods and software for the numerical treatment of a broad range of models that implement multiscale, multiphysics and hybrid approaches to describe various aspects of biological complexity. The mathematical exploration of biological systems requires the integration of various mathematical techniques, such as graph theory, network analysis, representation theory, identification methods and information-theoretic inference.
We encourage the submission of papers that explore innovative methodologies for the analysis of high-throughput sequencing data, the modeling of protein interactions, the dynamics and control of chronic diseases, and understanding complex biological systems. Both empirical studies and theoretical contributions are welcome, provided that they advance the field and offer new insights into biological phenomena.
This Special Issue seeks to foster interdisciplinary collaboration and serve as a comprehensive resource for researchers and practitioners in the field of computational biology, promoting the integration of computational techniques in biological research. Finally yet importantly is the need to present modelling studies, which could be categorized as biologically-relevant, question-driven, and data-validated examples from various branches of biomedicine.
Prof. Dr. Gennady Bocharov
Prof. Dr. Dick De Ridder
Prof. Dr. Rainer Breitling
Guest Editors
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 submissions that pass pre-check are 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 monthly 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 1800 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.
Keywords
- computational biology
- bioinformatics
- systems biology
- computational genomics
- machine learning
- high-throughput sequencing
- protein interaction modeling
- data analysis
- structural bioinformatics
- evolutionary dynamics
- biological networks
- biomechanics
- population dynamics
- multiscale modelling
- biological complexity
- multiphysics models
- hierarchical regulation
- biological control and optimization
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