Computational Approaches to the Rational Design of Tubulin-Targeting Agents.
QSAR
computer-aided drug design
microtubule targeting agents
microtubules
molecular docking
molecular dynamics simulations
pharmacophore screening
virtual screening
Journal
Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414
Informations de publication
Date de publication:
02 02 2023
02 02 2023
Historique:
received:
15
12
2022
revised:
27
01
2023
accepted:
31
01
2023
entrez:
25
2
2023
pubmed:
26
2
2023
medline:
3
3
2023
Statut:
epublish
Résumé
Microtubules are highly dynamic polymers of α,β-tubulin dimers which play an essential role in numerous cellular processes such as cell proliferation and intracellular transport, making them an attractive target for cancer and neurodegeneration research. To date, a large number of known tubulin binders were derived from natural products, while only one was developed by rational structure-based drug design. Several of these tubulin binders show promising in vitro profiles while presenting unacceptable off-target effects when tested in patients. Therefore, there is a continuing demand for the discovery of safer and more efficient tubulin-targeting agents. Since tubulin structural data is readily available, the employment of computer-aided design techniques can be a key element to focus on the relevant chemical space and guide the design process. Due to the high diversity and quantity of structural data available, we compiled here a guide to the accessible tubulin-ligand structures. Furthermore, we review different ligand and structure-based methods recently used for the successful selection and design of new tubulin-targeting agents.
Identifiants
pubmed: 36830654
pii: biom13020285
doi: 10.3390/biom13020285
pmc: PMC9952983
pii:
doi:
Substances chimiques
Tubulin
0
Ligands
0
Antineoplastic Agents
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : European Union
ID : 860070 TUBINTRAIN
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