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Molecular docking is a computational technique that predicts the binding affinity of ligands to receptor proteins. Although it has potential uses in nutraceutical research, it has developed into a formidable tool for drug development.
P. C. Agu +7 more
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GNINA 1.3: the next increment in molecular docking with deep learning
Computer-aided drug design has the potential to significantly reduce the astronomical costs of drug development, and molecular docking plays a prominent role in this process.
Andrew T. McNutt +4 more
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DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking [PDF]
Predicting the binding structure of a small molecule ligand to a protein -- a task known as molecular docking -- is critical to drug design. Recent deep learning methods that treat docking as a regression problem have decreased runtime compared to ...
Gabriele Corso +4 more
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GNINA 1.0: molecular docking with deep learning
Molecular docking computationally predicts the conformation of a small molecule when binding to a receptor. Scoring functions are a vital piece of any molecular docking pipeline as they determine the fitness of sampled poses.
Andrew T. McNutt +7 more
semanticscholar +1 more source
Acetamides (S30A1 and S30) were synthesized from benzo[d]thiazol-2-amine and 6-nitrobenzo[d]thiazol-2-amine by direct use of acetic acid instead of acetylating agents.
Sukumar Bepary +4 more
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A Comparative Study of Approved Drugs for SARS-CoV-2 by Molecular Docking
SARS-CoV-2, a new type of Coronavirus, has affected more millions of people worldwide. From the spread of this infection, many studies related to this virus and drug designing for the treatment have been started. Most of the studies target the SARS-CoV-2
Achal Mishra, Radhika Waghela
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Comparative In-Silico Molecular Docking of Silymarin for SARS-CoV-2 Receptor
COVID-19 pandemic has spread across the world in over 185 countries, with millions of infections and hundreds of thousands of deaths. The current pandemic has made the situation worse, forcing the development of better treatment.
Michael Antony Samy Amutha Gnana Arasi +2 more
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Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? [PDF]
Molecular docking, given a ligand molecule and a ligand binding site (called ``pocket'') on a protein, predicting the binding mode of the protein-ligand complex, is a widely used technique in drug design. Many deep learning models have been developed for
Yuejiang Yu +4 more
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In silico tools, such as molecular docking, are widely applied to study interactions and binding affinity of biological activity of proteins and peptides.
A. Vidal-Limon +2 more
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Objective: Curcumin is a plant polyphenol extracted from the Chinese herb turmeric. It was found that curcumin has good anti-cancer properties in a variety of cancers, but the exact mechanism is not clear.
Qingmin He +7 more
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