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Computer Science in Human Nutritional Research and Health Applications

This special issue belongs to the section “Nutrition and Public Health“.

Special Issue Information

Dear Colleagues,

Advances in computational science have enabled researchers to use artificial intelligence or computer simulation technology to better understand human diseases and nutritional health issues such as obesity, hyperuricemia, diabetes, hypertension, etc. Computer science, in terms of molecular docking, molecular dynamics simulation, machine learning, and deep learning, can help reveal interactions between molecules and explore the relationship between material structure and effect (activity and properties). The application of computer science is conducive to improving the efficiency of scientific research and explaining the internal mechanism of human diseases and nutritional health problems from another dimension.

This Special Issue provides a platform for researchers to discuss the applications of computer science in research about nutrition and health. In the present Special Issue, we welcome original articles and narrative and systematic reviews.

Dr. Liang Zhao
Dr. Lei Zhao
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. Nutrients is an international peer-reviewed open access semimonthly 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 2900 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

  • molecular docking
  • molecular dynamics simulation
  • machine learning
  • deep learning
  • QSAR
  • human health

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Nutrients - ISSN 2072-6643