Proteomics in Medicine and Pharmacy
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Pharmacology".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6398
Special Issue Editors
Interests: quantitative proteomics; functional proteomics; protein–protein interactions; bioinformatics
Interests: functional proteomics; differential proteomics; protein–protein interaction; aging; muscle physiology
Interests: biochemistry; molecular biology; cell biology; metabolomics; nanomedicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to launch the Special Issue “Proteomics in Medicine and Pharmacy” covering all subjects and aspects of biomarker and drug discovery by proteomics-based approaches. We encourage you to submit up-to-date review and research articles concerning these topics in different biological systems, in vitro and in vivo.
Advances in proteomics have increased over the last decade, thus giving valuable contributions which range from basic research to biomedical and pharmaceutical applications. Proteomics have emerged as a valid methodology to analyze biological systems at molecular level. This discipline now permits not only an optimal generation of experimental data but also increased capabilities in data analysis for a successful biological interpretation. Today, several proteomics approaches (such as chemical, quantitative and functional proteomics, including the analyses of protein expression profiles, protein interaction networks and post-translational modifications) are widely carried out by clinicians and pharmaceutical companies.
In this scenario, proteomics helps to identify molecular mechanisms and characterize metabolic and cellular processes in several physiopathological conditions. Gaining insights into the molecular bases of healthy and diseased conditions (such as cancer, and cardiovascular, metabolic, neurological disorders) is just the first step of a bench-to-bedside process. Proteomic studies are highly relevant for the identification of valuable disease-specific biomarkers and the development of therapeutic strategies.
In this Special Issue, attention will be paid to the new trends in the applications of proteomics and coupled technologies (such as mass spectrometry, bioinformatics, nanotechnology) to medicine and pharmaceutical research.
Dr. Esther ImperliniGuest Editor
Prof. Dr. Stefania Orrù
Dr. Armando Cevenini
Co-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. Medicina 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 2200 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
- Quantitative proteomics
- Protein–protein interaction network
- Biomarker and drug discovery
- Bioinformatics
- Nanomedicine
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