Dr. Zhu’s review paper titled “From machine learning to deep learning: progress in machine intelligence for rational drug discovery” was recognized as the Top Citation Paper by Drug Discovery Today. This paper was cited over 100 times within the past two years (2018-2019) and can be viewed here.
The collaborative research of PM2.5 particle modeling for their potential inflammatory effects was published on Ecotoxicology and Environmental Safety. I want to thank Dr. Yan and his group for the contributions of original data and experimental validations. Please see the details of this paper here.
Dr. Zhu has three collaborative research papers accepted in the first week of 2020: Nanomaterial research on ACS Nano Toxicity pathway study on Chemical Research in Toxicology Food informatics on Food Chemistry I want to thank all collaborators for multiple successful projects.
Dr. Zhu published an editor invited review, titled “Big Data and Artificial Intelligence Modeling for Drug Discovery“, on Annual Review of Pharmacology and Toxicology.
Dr. Zhu’s research is being supported by ExxonMobil for an one year contract. This research project aims to develop predictive models for estrogen receptor binding models to evaluate new compounds for ExxonMobil.
Dr. Zhu gave an invited seminar titled “Big data, AI and intelligent modeling for modern computational toxicology” in the Department of Civil Engineering at Case Western Reserve University on November 15, 2019.