Computational Biomimetics Methods in Drug Design: Theory, Applications, and Future Directions
A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Development of Biomimetic Methodology".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 2230
Special Issue Editors
Interests: nature-inspired computational methods; data analytics intelligence; artificial intelligence; data science; applied statistics; bioinformatics; medical informatics; prediction; machine learning; artificial intelligence in drug discovery
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; deep learning; data science; drug–drug interaction prediction
Interests: differential evolution; multiobjective optimization; evolutionary robotics; artificial life; cloud computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational biomimetics (CB) methods developed in the frame of artificial intelligence (AI) and machine learning (ML) are rapidly evolving technologies that are transforming various industries. CB enables machines/systems to exhibit human-like intelligence, offering these machines many opportunities to learn from experience. This Special Issue aims to explore the theoretical foundations, broad range of applications, and future directions of CB. Theoretical research can include ideas such as new algorithms and optimization techniques, while applications can range from drug design to discovery. Additionally, topics on ethics and security aim to enhance societal impact and the reliability of CB drug design and discovery. This Special Issue seeks to uncover the potential and limitations of CB, encouraging innovative research and applications in the field of interest.
Content:
The purpose of this Special Issue is to discuss recent advancements and innovative applications in the fields of computational biomimetics. With a broad scope, it will cover the application of CB across various disciplines related to drug discovery and design. Topics may include the following:
- Drug discovery;
- Drug design;
- Bioinformatics;
- Nature-inspired computational methods;
- Deep learning and neural networks;
- Natural language processing;
- AI-driven process mining;
- Neural networks;
- Computer vision and image processing;
- AI applications in healthcare and bioinformatics;
- Autonomous systems and robotics;
- Ethics and security in AI and ML;
- Big data analytics and data mining;
- AI-driven decision support systems;
- AI and ML in education.
This Special Issue aims to encourage academics, researchers, and industry professionals to conduct in-depth research and share their findings on the theory, application, and future directions of CB.
Prof. Dr. Laszlo Barna Iantovics
Dr. Fatih Ozyurt
Dr. Aleš Zamuda
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 250 words) can be sent to the Editorial Office for assessment.
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. Biomimetics 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 2200 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
- drug discovery
- drug design
- bioinformatics
- nature-inspired computational methods
- deep learning and neural networks
- natural language processing
- AI-driven process mining
- neural networks
- computer vision and image processing
- AI applications in healthcare and bioinformatics
- autonomous systems and robotics
- ethics and security in AI and ML
- big data analytics and data mining
- AI-driven decision support systems
- AI and ML in education
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