Metabolomics and Computational Research on Drugs and Diseases
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Bioinformatics and Data Analysis".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 1034
Special Issue Editors
Interests: networks biology systems; chemoinformatics and biological databases
Special Issues, Collections and Topics in MDPI journals
Interests: systems biology; biological databases; metabolomics
Special Issues, Collections and Topics in MDPI journals
Interests: systems biology; complex systems models; using statistical models; deep learning models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics, the comprehensive study of small molecules or metabolites within living systems, offers a unique perspective into cellular function and health. Metabolites are influenced by various factors like diet, the gut microbiome, drugs, and disease. By analyzing metabolite levels, researchers can gain critical insights into disease progression and identify potential drug targets. The metabolome is intricately connected to an organism’s genotype and physiology and the environment where it lives. There are numerous applications of metabolomics in healthcare, including pharmacology, toxicology, health condition monitoring, e.g., after surgery, and drugging. Metabolites can be biomarkers of diseases, and they can be linked to various disease pathways to understand disease mechanisms. Plant metabolites that are commonly known as natural products can be utilized as effective drugs for different diseases. Computational approaches can be utilized to predict the activities of natural products to assess their effectiveness as drugs.
This Special Issue seeks to bridge the gap between metabolomics and computational research for drug discovery and disease diagnosis. We welcome all manuscripts that explore computational metabolomics, including the development and application of machine learning tools and algorithms for analyzing metabolomic data. Topics of interest include, but are not limited to, the following: identifying disease biomarkers; disease diagnosis and pathway analysis; discovering new drugs and drug targets; and monitoring drug efficacy. This Special Issue aims to be a valuable resource for researchers of computational metabolomics. By fostering collaboration between various branches of this field, we aim to accelerate the development of new therapies and diagnostics for various diseases.
We look forward to receiving your submissions and contribution to the advancement of this exciting field.
Dr. Md. Altaf-Ul-Amin
Prof. Dr. Shigehiko Kanaya
Dr. Naoaki Ono
Dr. Ahmad Kamal Nasution
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. Metabolites 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
- metabolomics
- natural products
- computational research
- drug discovery
- disease diagnosis
- disease mechanisms
- machine learning algorithms
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
