Protein Structure and Cancer
A special issue of Cancers (ISSN 2072-6694).
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 21063
Special Issue Editor
Interests: functional proteomics; cancer biology; neurodegenerative diseases; system biology; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Proteins are fundamental molecules to all living organisms and the remarkable way they fold into complex three-dimensional (3D) structures strongly defines organism’s functional capabilities and phenotype. Protein structure is highly dynamic and defines protein function and interactions. The dynamic feature of protein structure enhances and supports the amazing flexibility of cellular and extracellular biochemistry and cells’ inherent capability for autoregulation and adaptation to different conditions. On the other hand, a problematic protein structure may lead to protein deregulation, dysfunction, or no function, and consequently to disease or even death. Protein structural alterations are a hallmark of several diseases, including cancer. In addition, such alterations in cancer lead to diverse protein functions that can significantly promote cancerous transformation and phenotype. Local concentrations of mutations are well known in human cancers affecting protein function and interactions enhancing cancer development and progression, contributing to tumor heterogeneity and tumorigenesis. However, their 3D spatial relationships in the encoded proteins have yet to be systematically investigated. It is expected that the elucidation of protein structural alterations resulting from such driver mutations is of paramount importance for obtaining an in-depth understanding of the molecular mechanisms leading to cancer. Such an understanding can provide more direct and clinically relevant knowledge and evidence of disease states than genetic signatures alone.
We are excited to invite authors to submit original research and review articles that address the progress and current standing of protein-structure-based studies in cancer research. Research areas may include various aspects and approaches that have been developed for understanding and predicting the role of protein structure alterations in the development, progression, and resistance to therapy of different cancers, as well as their potential application in developing precision cancer therapies.
Prof. Dr. Michalis Aivaliotis
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 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. Cancers 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
- protein structure dynamics
- structural cancer biology
- protein pathways in cancer
- structure–function alterations
- in silico protein structure prediction
- protein interactions
- cancer mutations and protein structure alterations
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