A. V. Zakharov

The paper screens dietary supplements and natural products for bioactivity using in vitro assays and predicts their mechanisms of action by comparing activity profiles with approved drugs.

The paper develops a high-throughput differential scanning fluorimetry assay using HIS-tag fluorophores to screen small molecule libraries for protein interactions.

This paper develops a cross-platform Bayesian optimization system to accelerate biological assay development, reducing costs and time compared to brute force methods.

The paper uses a hybrid in silico approach combining machine learning and pharmacophore modeling on NCATS screening data to identify novel inhibitors effective against multiple SARS-CoV-2 variants.

This study identifies synergistic and antagonistic drug combinations against SARS-CoV-2 in vitro using in silico prioritization and experimental testing.

This paper describes the NCATS OpenData Portal, a platform for real-time sharing of drug screening data that accelerates translational research by enabling immediate access to large-scale datasets.