Special Issue "Cytotoxicity on Pharmaceutical Interactions in Chemotherapy"
Deadline for manuscript submissions: 31 January 2022.
Interests: computational toxicology; chemo/bioinformatics; drug metabolism; drug adverse effect; machine learning; drug interaction; database analysis
A wide variety of anticancer drugs are used for chemotherapy depending on the type of cancer. Many of these anticancer agents have cytotoxic effects on tumor cells as a major mechanism for their anticancer effects. However, insufficient tumor cell selectivity may result in a risk of comorbid side effects, including hematotoxicity due to myelosuppression. Because chemotherapy is often achieved using a combination of drugs, the relationship between these antitumor effects and side effects and anticancer drugs is complex.
The purpose of this Special Issue is to integrate knowledge, including mechanisms of clinically and biochemically useful expression of pharmacological interactions. In other words, it is expected that findings relevant to this topic will be based on the results of biochemical studies through in vivo and in vitro experiments and data accumulated in a variety of clinical studies, including database studies. This combined knowledge allows molecular interpretations of chemotherapy and may contribute to improved clinical outcomes of anticancer therapy.
Prof. Dr. Yoshihiro Uesawa
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 papers will be 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.
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- tumor specificity
- PK/PD interaction
- adverse effect
- anticancer drug
- cell signaling
- molecular mechanisms
- translational research