Open Access. Powered by Scholars. Published by Universities.®

Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Pharmacology, Toxicology and Environmental Health

Wright State University

Symposium of Student Research, Scholarship, and Creative Activities Materials

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Tip60 Regulation Of Δnp63Α Is Associated With Cisplatin Resistance, Akshay Hira, Andrew Stacy, Jin Zhang, Michael P. Craig, Madhavi Kadakia Apr 2020

Tip60 Regulation Of Δnp63Α Is Associated With Cisplatin Resistance, Akshay Hira, Andrew Stacy, Jin Zhang, Michael P. Craig, Madhavi Kadakia

Symposium of Student Research, Scholarship, and Creative Activities Materials

About 5.4 million basal and squamous cell skin cancers are diagnosed every year in the US. ΔNp63a, a member of the p53 transcription factor family, is overexpressed in non-melanoma skin cancer and regulates cell survival, migration and invasion. TIP60 is histone acetyltransferase (HAT) which mediates cellular processes such as transcription and the DNA damage response (DDR). Previous studies in our lab have shown that overexpression of TIP60 induces ΔNp63a protein stabilization in a catalytic-dependent manner. Since ΔNp63a is known to transcriptionally regulate several DDR genes and promote cisplatin resistance, its stabilization by TIP60 may contribute to the failure of platinum-based …


Multi-Label Model For Toxicity Prediction, Xiu Huan Yap, Michael L. Raymer Apr 2020

Multi-Label Model For Toxicity Prediction, Xiu Huan Yap, Michael L. Raymer

Symposium of Student Research, Scholarship, and Creative Activities Materials

Most computational predictive models are specifically trained for a single toxicity endpoint. Since more than 1300 toxicity assays have been reported in the TOXCAST dashboard, achieving high coverage over this growing number of toxicity endpoints remains challenging. Furthermore, single-endpoint models lack the ability to learn dependencies between endpoints, such as those targeting similar biological pathways, which may be used to boost model performance. In this study, we characterize the performance of 3 multi-label classification (MLC) models, namely Classifier Chains (CC), Label Powersets (LP) and Stacking (SBR), on Tox21 challenge data. These MLC models employ the Problem Transformation approach, which is …