Drug-Protein Interactions for Clinical Research by Nucleic Acid Programmable Protein Arrays-Quartz Crystal Microbalance with Dissipation Factor Monitoring Nanoconductometric Assay

Abstract

Conductometric monitoring of drug-gene and drug-protein interactions is of fundamental importance in the field of molecular pharmacology. Here, we present our main findings and characterizations of an important antiblastic used in neuro-oncology (Temozolomide), interacting with selected proteins that represent predictive biomarkers of the rate survival of the patients, of the outcome of chemotherapy and resistance to drug itself (namely, BRIP1 and MLH1). We use our previously introduced two genes along with previously described Nucleic Acid Programmable Protein Arrays (NAPPA)-based nanoconductometric sensor. We performed a positive control (Temozolomide plus MLH1 protein), a negative control (Temozolomide plus BRIP1 protein) and a multi-gene experiment (Temozolomide plus BRIP1&MLH1 being co-expressed), showing that we are able to properly perform pharmacoproteomics tasks, discriminating each protein and drug unique conductance curve as well as their interactions, even in the presence of multi-proteins being immobilized. Moreover, in the last part of our paper, we used a multiple regression model in order to predict the behavior of Temozolomide when exposed to BRIP1&MLH1 co-expressed and we showed that we are able to predict the drug-protein interaction profile with a good regression coefficient.