Discovery of Alternative Chemotherapy Options for Leishmaniasis through Computational Studies of Asteraceae. (3rd February 2021)
- Record Type:
- Journal Article
- Title:
- Discovery of Alternative Chemotherapy Options for Leishmaniasis through Computational Studies of Asteraceae. (3rd February 2021)
- Main Title:
- Discovery of Alternative Chemotherapy Options for Leishmaniasis through Computational Studies of Asteraceae
- Authors:
- Herrera‐Acevedo, Chonny
Perdomo‐Madrigal, Camilo
Muratov, Eugene N.
Scotti, Luciana
Scotti, Marcus Tullius - Abstract:
- Abstract: Leishmaniasis is a complex disease caused by over 20 Leishmania species that primarily affects populations with poor socioeconomic conditions. Currently available drugs for treating leishmaniasis include amphotericin B, paromomycin, and pentavalent antimonials, which have been associated with several limitations, such as low efficacy, the development of drug resistance, and high toxicity. Natural products are an interesting source of new drug candidates. The Asteraceae family includes more than 23 000 species worldwide. Secondary metabolites that can be found in species from this family have been widely explored as potential new treatments for leishmaniasis. Recently, computational tools have become more popular in medicinal chemistry to establish experimental designs, identify new drugs, and compare the molecular structures and activities of novel compounds. Herein, we review various studies that have used computational tools to examine various compounds identified in the Asteraceae family in the search for potential drug candidates against Leishmania . Abstract : Star performer : In‐silico studies have been performed on Asteraceae secondary metabolites to find new structures with potential activity against Leishmania species. This review describes existing databases associated with Asteraceae and explores the results of studies that have used in silico methodologies (particularly machine learning and molecular docking) to identify new structures with potentialAbstract: Leishmaniasis is a complex disease caused by over 20 Leishmania species that primarily affects populations with poor socioeconomic conditions. Currently available drugs for treating leishmaniasis include amphotericin B, paromomycin, and pentavalent antimonials, which have been associated with several limitations, such as low efficacy, the development of drug resistance, and high toxicity. Natural products are an interesting source of new drug candidates. The Asteraceae family includes more than 23 000 species worldwide. Secondary metabolites that can be found in species from this family have been widely explored as potential new treatments for leishmaniasis. Recently, computational tools have become more popular in medicinal chemistry to establish experimental designs, identify new drugs, and compare the molecular structures and activities of novel compounds. Herein, we review various studies that have used computational tools to examine various compounds identified in the Asteraceae family in the search for potential drug candidates against Leishmania . Abstract : Star performer : In‐silico studies have been performed on Asteraceae secondary metabolites to find new structures with potential activity against Leishmania species. This review describes existing databases associated with Asteraceae and explores the results of studies that have used in silico methodologies (particularly machine learning and molecular docking) to identify new structures with potential anti‐Leishmania activities. … (more)
- Is Part Of:
- ChemMedChem. Volume 16:Number 8(2021)
- Journal:
- ChemMedChem
- Issue:
- Volume 16:Number 8(2021)
- Issue Display:
- Volume 16, Issue 8 (2021)
- Year:
- 2021
- Volume:
- 16
- Issue:
- 8
- Issue Sort Value:
- 2021-0016-0008-0000
- Page Start:
- 1234
- Page End:
- 1245
- Publication Date:
- 2021-02-03
- Subjects:
- Asteraceae -- databases -- in silico -- Leishmaniasis -- natural products
Pharmaceutical chemistry -- Periodicals
615.19005 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1860-7187 ↗
http://www3.interscience.wiley.com/cgi-bin/jhome/110485305 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cmdc.202000862 ↗
- Languages:
- English
- ISSNs:
- 1860-7179
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3172.254000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16547.xml