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
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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Auteurs

Helena Pérez-Peña (H)

Department of Chemistry, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy.
Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, 4, Rue Blaise Pascal, 67081 Strasbourg, France.

Anne-Catherine Abel (AC)

Department of Chemistry, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy.
Laboratory of Biomolecular Research, Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen, Switzerland.

Maxim Shevelev (M)

Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, 4, Rue Blaise Pascal, 67081 Strasbourg, France.
Department of Biochemistry and Molecular Biology, Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain.

Andrea E Prota (AE)

Laboratory of Biomolecular Research, Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen, Switzerland.

Stefano Pieraccini (S)

Department of Chemistry, Università degli Studi di Milano, Via Golgi 19, 20133 Milan, Italy.

Dragos Horvath (D)

Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, 4, Rue Blaise Pascal, 67081 Strasbourg, France.

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