New Approaches for the Discovery of Pharmacologically-Active Natural Compounds

A major source of active compounds, natural products from different sources supply a large variety of molecules that have been approved for clinical use or used as the starting points of optimization programs. This book features nine papers (eight full articles and one review paper) written by more...

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Päätekijä: Medina-Franco, José L.
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Linkit:35881
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author Medina-Franco, José L.
author_browse Medina-Franco, José L.
author_facet Medina-Franco, José L.
author_sort Medina-Franco, José L.
collection Directory of Open Access Books
description A major source of active compounds, natural products from different sources supply a large variety of molecules that have been approved for clinical use or used as the starting points of optimization programs. This book features nine papers (eight full articles and one review paper) written by more than 45 scientists from around the world. These papers illustrate the development and application of a broad range of computational and experimental techniques applied to natural product research. On behalf of the contributors to the book, our hope is that the research presented here contributes to advancements in the field, and encourages multidisciplinary teams, young scientists, and students to further advance in the discovery of pharmacologically-active natural compounds
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-545512024-03-31T13:10:13Z New Approaches for the Discovery of Pharmacologically-Active Natural Compounds Medina-Franco, José L. R5-920 RM1-950 n/a immunoproteasome ginsenoside F1 visualization chemoinformatics soil microorganism molecular diversity web service epigenetics bioinsecticides Tibetan Plateau nanoparticles Py-GC/MS drug discovery consensus diversity plot chemical data set molecular interactions curcumin similarity maps Alzheimer’s disease proteasome inhibitors cyclodextrin glycosyltransferase (CGTase) classification squalene docking molecular docking cholestasis protein aggregation brain diseases structure–activity relationship flavonoids molecular fingerprints cyclodextrin glycosyltransferase random forest multitarget natural products inflammation natural product-likeness chemical space epi-informatics molecular dynamics machine learning systematic review phenylethanoid glycosides ?-glucosyl ginsenoside F1 alpine grassland Calceolaria marine diterpenoid Parkinson’s disease thema EDItEUR::M Medicine and Nursing A major source of active compounds, natural products from different sources supply a large variety of molecules that have been approved for clinical use or used as the starting points of optimization programs. This book features nine papers (eight full articles and one review paper) written by more than 45 scientists from around the world. These papers illustrate the development and application of a broad range of computational and experimental techniques applied to natural product research. On behalf of the contributors to the book, our hope is that the research presented here contributes to advancements in the field, and encourages multidisciplinary teams, young scientists, and students to further advance in the discovery of pharmacologically-active natural compounds 2021-02-11T20:53:21Z 2021-02-11T20:53:21Z 2019-08-28 11:21:27 2019 book 35881 9783039211043 9783039211050 https://directory.doabooks.org/handle/20.500.12854/54551 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1392 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-105-0 10.3390/books978-3-03921-105-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039211043 9783039211050 158 open access
spellingShingle R5-920
RM1-950
n/a
immunoproteasome
ginsenoside F1
visualization
chemoinformatics
soil microorganism
molecular diversity
web service
epigenetics
bioinsecticides
Tibetan Plateau
nanoparticles
Py-GC/MS
drug discovery
consensus diversity plot
chemical data set
molecular interactions
curcumin
similarity maps
Alzheimer’s disease
proteasome inhibitors
cyclodextrin glycosyltransferase (CGTase)
classification
squalene
docking
molecular docking
cholestasis
protein aggregation
brain diseases
structure–activity relationship
flavonoids
molecular fingerprints
cyclodextrin glycosyltransferase
random forest
multitarget
natural products
inflammation
natural product-likeness
chemical space
epi-informatics
molecular dynamics
machine learning
systematic review
phenylethanoid glycosides
?-glucosyl ginsenoside F1
alpine grassland
Calceolaria
marine diterpenoid
Parkinson’s disease
thema EDItEUR::M Medicine and Nursing
Medina-Franco, José L.
New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title_full New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title_fullStr New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title_full_unstemmed New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title_short New Approaches for the Discovery of Pharmacologically-Active Natural Compounds
title_sort new approaches for the discovery of pharmacologically active natural compounds
topic R5-920
RM1-950
n/a
immunoproteasome
ginsenoside F1
visualization
chemoinformatics
soil microorganism
molecular diversity
web service
epigenetics
bioinsecticides
Tibetan Plateau
nanoparticles
Py-GC/MS
drug discovery
consensus diversity plot
chemical data set
molecular interactions
curcumin
similarity maps
Alzheimer’s disease
proteasome inhibitors
cyclodextrin glycosyltransferase (CGTase)
classification
squalene
docking
molecular docking
cholestasis
protein aggregation
brain diseases
structure–activity relationship
flavonoids
molecular fingerprints
cyclodextrin glycosyltransferase
random forest
multitarget
natural products
inflammation
natural product-likeness
chemical space
epi-informatics
molecular dynamics
machine learning
systematic review
phenylethanoid glycosides
?-glucosyl ginsenoside F1
alpine grassland
Calceolaria
marine diterpenoid
Parkinson’s disease
thema EDItEUR::M Medicine and Nursing
topic_facet R5-920
RM1-950
n/a
immunoproteasome
ginsenoside F1
visualization
chemoinformatics
soil microorganism
molecular diversity
web service
epigenetics
bioinsecticides
Tibetan Plateau
nanoparticles
Py-GC/MS
drug discovery
consensus diversity plot
chemical data set
molecular interactions
curcumin
similarity maps
Alzheimer’s disease
proteasome inhibitors
cyclodextrin glycosyltransferase (CGTase)
classification
squalene
docking
molecular docking
cholestasis
protein aggregation
brain diseases
structure–activity relationship
flavonoids
molecular fingerprints
cyclodextrin glycosyltransferase
random forest
multitarget
natural products
inflammation
natural product-likeness
chemical space
epi-informatics
molecular dynamics
machine learning
systematic review
phenylethanoid glycosides
?-glucosyl ginsenoside F1
alpine grassland
Calceolaria
marine diterpenoid
Parkinson’s disease
thema EDItEUR::M Medicine and Nursing
url 35881
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