Intelligent Computational Approaches for Drug Design and Precision Medicine

Dear Colleagues,

With the continuous advancements of biomedical instruments and the associated ability to collect diverse types of valuable biological data, numerous recent research studies have been focusing on how to best extract useful information from the ‘Big Biomedical Data’ currently available. While drug design has been one of the most essential areas of biomedical research, the drug design process for the most part has not fully benefited from the recent explosive growth of biological data and data mining techniques. With the incredible overhead associated with the traditional drug design process in terms of time and cost, new alternative methods, based on computational approaches, are very much needed to propose innovative ways to propose effective drugs and new treatment options. The recent pandemic is a clear example of such a need where drug repurposing has been explored by biomedical researchers and pharmaceutical companies as a fast and effective alternative for traditional drug discovery that benefits from the availability of data and the recent advances of data mining approaches. This new development promises to transform healthcare to focus more on individualized treatments, precision medicine, and lower risks of harmful side effects. In this Special Issue, we invite the submission of papers that focus on exploring new data mining tools for advancing the new era of drug design and precision medicine.

Prof. Dr. Hesham H. Ali
Guest Editor

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. Genes 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 2600 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.

• Big biomedical data
• Drug design
• Data mining applications
• Drug repurposing
• Personalized medicine
• Data-driven healthcare
• Intelligent computational tools
• Data analytics
• Genetics
• Bioinformatics