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Our aim is to curate peer-reviewed publications that showcase novel strategies or good case studies of in silico models useful in drug discovery or chemical safety assessment. With this, we hope to help keep our readers updated on Computational Toxicology but also provide learning resources for people new to the area.
If you have recommendations or want to join this initiative, please get in touch with us at firstname.lastname@example.org. You can also leave your feedback at https://forms.gle/ikdyXMLQM5gR82nH6. We will always be happy to hear from you!