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  1. Article ; Online: A Combined Molecular Docking and Density Functional Theory Nuclear Magnetic Resonance Study of Trans-Dehydrocrotonin Interacting with COVID-19 Main Protease and Severe Acute Respiratory Syndrome Coronavirus 2 3C-Like Protease.

    Cardoso, Evani Ferreira / Giacomello, Thaís Forest / Rocha de Oliveira, Leandro Leal / da Silva, Tiago Arouche / de Jesus Chaves Neto, Antonio Maia / Da Silva Mota, Gunar Vingre / Souza Siqueira, Marcelo Ricardo / Paranhos Costa, Fabio Luiz

    Journal of nanoscience and nanotechnology

    2021  Volume 21, Issue 11, Page(s) 5399–5407

    Abstract: For the development of drugs that treat SARS-CoV-2, the fastest way is to find potential molecules from drugs already on the market. Unfortunately, there is currently no specific drug or treatment for COVID-19. Among all structural proteins in SARS-CoV, ... ...

    Abstract For the development of drugs that treat SARS-CoV-2, the fastest way is to find potential molecules from drugs already on the market. Unfortunately, there is currently no specific drug or treatment for COVID-19. Among all structural proteins in SARS-CoV, the spike protein is the main antigenic component responsible for inducing host immune responses, neutralizing antibodies, and/or protecting immunity against virus infection. Molecular docking is a technique used to predict whether a molecule will bind to another. It is usually a protein to another or a protein to a binding compound. Natural products are potential binders in several studies involving coronavirus. The structure of the ligand plays a fundamental role in its biological properties. The nuclear magnetic resonance technique is one of the most powerful tools for the structural determination of ligands from the origin of natural products. Nowadays, molecular modeling is an important accessory tool to experimentally got nuclear magnetic resonance data. In the present work, molecular docking studies aimed is to investigate the limiting affinities of trans-dehydrocrotonin molecule and to identify the main amino acid residues that could play a fundamental role in their mechanism of action of the SARS-CoV spike protein. Another aim of this work is all about to evaluate 10 hybrid functionalities, along with three base pairs using computational programs to discover which ones are more reliable with the experimental result the best computational method to study organic compounds. We compared the results between the mean absolute deviation (MAD) and root-mean-square deviation (RMSD) of the molecules, and the smallest number between them was the best result. The positions assumed by the ligands in the active site of the spike glycoprotein allow assuming associations with different local amino acids.
    MeSH term(s) Antiviral Agents ; COVID-19 ; Density Functional Theory ; Diterpenes, Clerodane ; Humans ; Magnetic Resonance Spectroscopy ; Molecular Docking Simulation ; Peptide Hydrolases ; SARS-CoV-2
    Chemical Substances Antiviral Agents ; Diterpenes, Clerodane ; dehydrocrotonin ; Peptide Hydrolases (EC 3.4.-)
    Language English
    Publishing date 2021-05-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1533-4899
    ISSN (online) 1533-4899
    DOI 10.1166/jnn.2021.19475
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Combined application of DP4+ and ANN-PRA to determine the relative configuration of natural products: The alpha-bisabol case study.

    Dos Santos, Fernando Martins / da Silva Mota, Gunar Vingre / Martorano, Lucas Haidar / de Albuquerque, Ana Carolina Ferreira / da Silva, Claudinei Alves / da Silva, Adalberto Manoel / de Jesus Chaves Neto, Antônio Maia / Valverde, Alessandra Leda / Cardoso, Evani Ferreira / Costa, Fabio Luiz Paranhos

    Magnetic resonance in chemistry : MRC

    2022  Volume 60, Issue 6, Page(s) 533–540

    Abstract: The combination of computational methods and experimental data from Nuclear Magnetic Resonance (NMR) is a considerably valuable tool in the elucidation of new natural product structures and, also, in the structural revision of previously reported ... ...

    Abstract The combination of computational methods and experimental data from Nuclear Magnetic Resonance (NMR) is a considerably valuable tool in the elucidation of new natural product structures and, also, in the structural revision of previously reported compounds. Until recently, only classical statistical parameters were used, for example, linear correlation coefficient (R
    MeSH term(s) Bayes Theorem ; Biological Products/chemistry ; Magnetic Resonance Spectroscopy/methods ; Stereoisomerism
    Chemical Substances Biological Products
    Language English
    Publishing date 2022-03-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1475029-6
    ISSN 1097-458X ; 0749-1581
    ISSN (online) 1097-458X
    ISSN 0749-1581
    DOI 10.1002/mrc.5261
    Database MEDical Literature Analysis and Retrieval System OnLINE

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