Literature DB >> 32744975

Virtual Screening of Natural Products Database.

José Alixandre de Sousa Luis1, Renata Priscila Costa Barros2, Natália Ferreira de Sousa2, Eugene Muratov3, Luciana Scotti2, Marcus Tullius Scotti2.   

Abstract

Constant research on natural products has generated, over time, a large number of compounds with the potential to be evaluated in several biological tests and subsequently have been cataloged in databases that allow other researchers to perform virtual screenings of activity in various biological systems. This considerably reduces the time for the development of new drugs. This review describes the main databases of natural products available for searching bioactive compounds. It also describes the main features of virtual screening strategies for the identification of molecules with the potential to be used as new drugs. In addition, a search was made in the Web of Science database, using the search term "Virtual screening of natural products databases" from 2003 to 2018. The search criterion resulted in 230 articles, which had their abstracts evaluated with pertinence to the criteria required for this work, which are: a) be a research article; b) performing a virtual screening on databases of natural products or containing natural products; and c) works that identified drug candidate molecules. Based on these criteria, the bibliographic review on the topic was excluded. After this analysis, 104 works were selected for this review. We selected relevant papers describing the potential drug candidates that were distributed in 15 classes, of which the anticancer, antibacterial and anti-inflammatory hits were the most abundant. The works showing efforts to search for new molecules against various other diseases in distinct biological systems were also described. In this way, this work shows an overview of several methodologies and we hope they can help and inspire the development of new research to improve people's quality of life. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Natural products; drug candidates.; ligand-based; natural products databases; structure-based; virtual screening

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Year:  2021        PMID: 32744975     DOI: 10.2174/1389557520666200730161549

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  3 in total

1.  Dental workers in front-line of COVID-19: an in silico evaluation targeting their prevention.

Authors:  Pedro Henrique Sette-DE-Souza; Moan Jéfter Fernandes Costa; Lucas Amaral-Machado; Fábio Andrey da Costa Araújo; Adauto Trigueiro Almeida Filho; Luiza Rayanna Amorim de Lima
Journal:  J Appl Oral Sci       Date:  2021-03-26       Impact factor: 2.698

2.  Identification of α-Glucosidase Inhibitors from Scutellaria edelbergii: ESI-LC-MS and Computational Approach.

Authors:  Muddaser Shah; Hazir Rahman; Ajmal Khan; Shabana Bibi; Obaid Ullah; Saeed Ullah; Najeeb Ur Rehman; Waheed Murad; Ahmed Al-Harrasi
Journal:  Molecules       Date:  2022-02-16       Impact factor: 4.411

3.  Virtual screening and docking analysis of novel ligands for selective enhancement of tea (Camellia sinensis) flavonoids.

Authors:  Anusha Majumder; Sunil Kanti Mondal; Samyabrata Mukhoty; Sagar Bag; Anupam Mondal; Yasmin Begum; Kalpna Sharma; Avishek Banik
Journal:  Food Chem X       Date:  2022-01-18
  3 in total

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