To fight against the present pandemic scenario of COVID-19 outbreak, medication with drugs and vaccines is extremely essential other than ventilation support. In this paper, we present a list of ligands which are expected to have the highest binding affinity with the S-glycoprotein of 2019-nCoV and thus can be used to make the drug for the novel coronavirus. Here, we implemented an architecture using 1D convolutional networks to predict drug–target interaction (DTI) values. The network was trained on the KIBA (Kinase Inhibitor Bioactivity) dataset. With this network, we predicted the KIBA scores (which gives a measure of binding affinity) of a list of ligands against the S-glycoprotein of 2019-nCoV. Based on these KIBA scores, we are proposing a list of ligands (33 top ligands based on best interactions) which have a high binding affinity with the S-glycoprotein of 2019-nCoV and thus can be used for the formation of drugs.
An ultrasensitive enzyme-linked immunosorbent assay (ELISA) is reported for the determination of carcinoma embryonic antigen (CEA) in human serum. It was realized using a microplate reader using a 384-well plate. Monoclonal antibody (Ab) against CEA (1°Ab) acting as the capture probe was immobilized on zinc oxide nanoparticles (ZnONPs) in the form of self-assembled monolayers (SAMs). CEA captured by 1°Ab was quantified using a sandwich ELISA wherein a polyclonal second antibody against CEA (2°Ab) was used for detection and quantified using an HRP-labeled secondary antibody (3°Ab). The ZnO-NPs-CEA capture probe was deposited on the bottom of the wells in order to enhance capture of CEA. A 3-fold enhancement in the chemiluminescence (CL) signal of luminol is found (compared to a conventional ELISA). CEA can be quantified by this method in concentrations as low as 1 pg·mL −1 . The upper limit of detection is 20 ng·mL −1 . The use of ZnO-NPs also imparts improved thermal stability. When stored at 4°C in phosphate-buffered saline of pH 7.4, the probe displays stability of up to 30 days.
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