Data-Driven Biomarker and Drug Discovery for Complex Disease
A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Pharmacology".
Deadline for manuscript submissions: 20 June 2024 | Viewed by 328
Special Issue Editors
Interests: network pharmacology; metabolomics; machine learning; chemotherapy toxicity; Chinese medicine
Special Issues, Collections and Topics in MDPI journals
Interests: cardiovascular disease; ion channel; post-translational modification
Interests: mass spectrometry; natural products; antioxidation; diabetes; lipidomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Complex diseases, such as cardiovascular disorders, neurodegenerative conditions, and cancer, present formidable challenges to the medical community. These multifaceted ailments are not governed by single genetic factors or isolated environmental triggers. Instead, they arise from intricate interactions between genetic variations, environmental influences, and lifestyle factors. The era of big data, coupled with cutting-edge computational techniques, has revolutionized our ability to dissect the intricate landscape of complex diseases. The data-driven paradigm allows us to harness the wealth of information contained within diverse datasets, unravel intricate disease mechanisms, pinpoint novel biomarkers, and identify promising drugs. This Special Issue serves as a platform for researchers to present innovative insights, methodologies, and discoveries that leverage extensive datasets in the quest for more effective solutions for complex disease. By leveraging vast datasets encompassing genomics, proteomics, metabolomics, clinical records, and other critical information, we aim to accelerate the translation of research findings into actionable solutions for patients. We invite contributions that elucidate the intricate web of factors underpinning complex diseases and offer potential biomarkers that can revolutionize diagnostics, prognostics, and treatment decisions. Moreover, we seek papers presenting novel drug targets and therapeutic compounds designed through data-driven insights. This Special Issue provides a platform to share your pioneering work, foster collaboration, and contribute to the advancement of healthcare. We welcome original research articles and reviews that resonate with the theme of data-driven biomarkers and drug discovery for complex diseases. We look forward to your submissions, anticipating that this Special Issue will inspire groundbreaking developments in the fight against complex diseases and bring us closer to effective medical interventions.
Dr. Yin Huang
Dr. Tao Ban
Dr. Huimin Guo
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. Pharmaceuticals 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 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
- cardiovascular disease
- diabetes
- neurodegenerative diseases
- genomics
- proteomics
- metabolomics
- systems biology
- data mining
- biomarker
- drug discovery
