Computer Science Disruption in the Biotechnology Processes
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (25 March 2022) | Viewed by 948
Special Issue Editors
Interests: by-products and natural products biotechnology processes: nutraceuticals and nootropics oriented; optimization processes throughout mathematical modeling; statistics; machine learning iterations
Interests: antitumour and anti-angiogenic activity of synthesized compounds: cell lines culture and enzymatic assays; application and software development of pharmacoinformatics techniques; molecular docking; MD simulations and QSAR analysis
Special Issue Information
Dear Colleagues,
Biological-based industries such as foods, cosmetics, and health provide today a wide range of products to humanity, which have been conceived or modified based on scientific knowledge. Biological science and science, in general, are constantly evolving, adapting, and creating bonds of interdisciplinary collaboration, those bonds having the ability of exponential growth due to fact that they act as field boundary erasers.
In 2020, a worldwide pandemic forced everyone to re-adapt to new challenges and working structures and has accelerated the incorporation of technology resources that were meant to be introduced progressively. Although computer science has been around for a couple of decades, its interdisciplinary evolution has steadily revolutionized other fields, such as the biotechnological one.
Data structures, mining, and exploration, along with computational processes such as optimizations based on statistical designs and mathematical modeling, or artificial intelligence performing pattern recognition, neural networks, or evolutionary computing, among other machine learning techniques, have already begun to steer their courses within the applied biological-based sciences.
Therefore, the scope of this Special Issue is very broad; under the umbrella of “data management, analysis and machine learning techniques applied to biotechnological processes”, this Special Issue welcomes research in the format of original research papers, case studies, systematic reviews, and new insights.
Dr. Bruno Melgar Castañeda
Prof. Dr. Rui M. V. Abreu
Guest Editors
Manuscript Submission Information
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Keywords
- Agriculture 4.0
- Artificial Intelligence
- Bioinformatics
- Biotechnology
- Cosmetics
- Data analysis and optimizations
- Food 4.0
- Genomics Healthcare Industries 4.0
- Machine and deep learning
- Natural Products
