dc.contributor.author
Šribar, Dora
dc.contributor.author
Noonan, Theresa
dc.contributor.author
Deng, Lihua
dc.contributor.author
Nguyen, Trung Ngoc
dc.contributor.author
Pach, Szymon
dc.contributor.author
Machalz, David
dc.contributor.author
Bermudez, Marcel
dc.contributor.author
Wolber, Gerhard
dc.contributor.author
Schaller, David
dc.date.accessioned
2020-06-12T08:53:27Z
dc.date.available
2020-06-12T08:53:27Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/27252
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-27008
dc.description.abstract
3D pharmacophore models are three‐dimensional ensembles of chemically defined interactions of a ligand in its bioactive conformation. They represent an elegant way to decipher chemically encoded ligand information and have therefore become a valuable tool in drug design. In this review, we provide an overview on the basic concept of this method and summarize key studies for applying 3D pharmacophore models in virtual screening and mechanistic studies for protein functionality. Moreover, we discuss recent developments in the field. The combination of 3D pharmacophore models with molecular dynamics simulations could be a quantum leap forward since these approaches consider macromolecule–ligand interactions as dynamic and therefore show a physiologically relevant interaction pattern. Other trends include the efficient usage of 3D pharmacophore information in machine learning and artificial intelligence applications or freely accessible web servers for 3D pharmacophore modeling. The recent developments show that 3D pharmacophore modeling is a vibrant field with various applications in drug discovery and beyond.
en
dc.format.extent
20 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
3D pharmacophores
en
dc.subject
artifical intelligence
en
dc.subject
machine learning
en
dc.subject
virtual screening
en
dc.subject
web services
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::615 Pharmakologie, Therapeutik
dc.title
Next generation 3D pharmacophore modeling
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e1468
dcterms.bibliographicCitation.doi
10.1002/wcms.1468
dcterms.bibliographicCitation.journaltitle
WIREs Computational Molecular Science
dcterms.bibliographicCitation.number
4
dcterms.bibliographicCitation.volume
10
dcterms.bibliographicCitation.url
https://doi.org/10.1002/wcms.1468
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Pharmazie
refubium.funding
DEAL Wiley
refubium.note.author
Die Publikation wurde von der Freien Universität Berlin finanziert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1759-0884