2nd Edition of Computational Methods in Biology
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 1 February 2025 | Viewed by 142
Special Issue Editors
Interests: image processing; high-performance computing; computational mechanics/biomechanics; biomechanical/biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: cardiovascular mechanics; fluid structure interaction; computational fluid dynamics; finite element analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue delves into the ways in which computational methods and artificial intelligence (AI) are revolutionizing the field of biological research, analysis, and discovery. By exploring the potential of computational methods and AI, we are able to unlock new insights, identify intricate patterns, and drive progress in various branches of biology. These technologies enable us to analyze vast amounts of biological data, leading to the discovery of new knowledge. Advanced algorithms and machine learning techniques predict protein structures, provide the analysis of gene expressions, and explore complex biological networks. Their ability to handle complex datasets effectively allows us to gain a deeper understanding of disease mechanisms, facilitate drug discovery, and personalize medicine. Furthermore, AI-driven and other computational methods facilitate the integration of diverse sources of biological data, enabling the revelation of hidden relationships and the development of comprehensive perspectives on complex biological systems. The articles featured in this Special Issue highlight the transformative impact of computational methods and AI algorithms across various areas including genomics, systems biology, drug discovery, and cancer research. This has opened new possibilities in biology and has paved the way for a more efficient and accurate understanding of complex biological systems. Through these advancements, biology is heading toward an innovative future shaped by new medical findings and transformative advancements in healthcare.
Dr. Milan Toma
Dr. Chi Wei Ong
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. Biology 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 2700 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
- artificial intelligence
- machine learning
- bioinformatics
- data analysis
- genomics
- proteomics
- drug discovery systems biology
- cancer research
