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dc.contributor.authorYalçın Özkat, Gözde
dc.date.accessioned2022-10-04T07:28:31Z
dc.date.available2022-10-04T07:28:31Z
dc.date.issued2021en_US
dc.identifier.citationYalcin-Ozkat G. (2021). Molecular Modeling Strategies of Cancer Multidrug Resistance. Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy, 59, 100789. https://doi.org/10.1016/j.drup.2021.100789en_US
dc.identifier.issn1368-7646
dc.identifier.issn1532-2084
dc.identifier.urihttps://doi.org/10.1016/j.drup.2021.100789
dc.identifier.urihttps://hdl.handle.net/11436/6642
dc.description.abstractCancer remains a leading cause of morbidity and mortality worldwide. Hence, the increase in cancer cases observed in the elderly population, as well as in children and adolescents, makes human malignancies a prime target for anticancer drug development. Although highly effective chemotherapeutic agents are continuously developed and approved for clinical treatment, the major impediment towards curative cancer therapy remains multidrug resistance (MDR). In recent years, intensive studies have been carried out on the identification of new therapeutic molecules to reverse MDR efflux transporters of the ATP-binding cassette (ABC) superfamily. Although a great deal of progress has been made in the development of specific inhibitors for certain MDR efflux pumps in experimental studies, advanced computational studies can accelerate this drug development process. In the literature, there are many experimental studies on the impact of natural products and synthetic small molecules on the reversal of cancer MDR. Molecular modeling methods provide an opportunity to explain the activity of these molecules on the ABC-transporter family with non-covalent interactions as well as it is possible to carry out studies for the discovery of new anticancer drugs specific to MDR with these methods. The coordinate file of the 3-dimensional (3D) structure of the target protein is indispensable for molecular modeling studies. In some cases where a 3D structure cannot be obtained by experimental methods, the homology modeling method can be applied to obtain the file containing the target protein's information including atomic coordinates, secondary structure assignments, and atomic connectivity. Homology modeling studies are of great importance for efflux transporter proteins that still lack 3D structures due to crystallization problems with multiple hydrophobic transmembrane domains. Quantum mechanics, molecular docking and molecular dynamics simulation applications are the most frequently used molecular modeling methods in the literature to investigate non-covalent interactions between the drug-ABC transporter superfamily. The quantitative structure-activity relationship (QSAR) model provides a relationship between the chemical properties of a compound and its biological activity. Determining the pharmacophore region for a new drug molecule by superpositioning a series of molecules according to their physicochemical properties using QSAR models is another method in which molecular modeling is used in computational drug development studies with ABC transporter proteins. There are also in silico absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) studies conducted to make a prediction about the pharmacokinetic properties, and drug-likeness of new molecules. Drug repurposing studies, which have become a trending topic in recent years, involve identifying possible new targets for an already approved drug molecule. There are few studies in the literature in which drug repurposing performed by molecular modelling methods has been applied on ABC transporter proteins. The aim of the current paper is to create a complete review of drug development studies including aforementioned molecular modeling methods carried out between the years 2019-2021. Furthermore, an intensiveen_US
dc.description.sponsorshipEuropean Cooperation in Science and Technology (COST) CA17104en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMolecular modelingen_US
dc.subjectMolecular dockingen_US
dc.subjectMolecular dynamics simulationsen_US
dc.subjectHomology modelingen_US
dc.subjectIn silicoen_US
dc.subjectPharmacophore modelingen_US
dc.subjectADMEen_US
dc.subjectToxen_US
dc.subjectQSARen_US
dc.subjectCancerMultidrug resistanceen_US
dc.titleMolecular modeling strategies of cancer multidrug resistanceen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Mühendislik ve Mimarlık Fakültesi, Biyomühendislik Bölümüen_US
dc.contributor.institutionauthorYalçın Özkat, Gözde
dc.identifier.doi10.1016/j.drup.2021.100789en_US
dc.identifier.volume59en_US
dc.identifier.startpage100789en_US
dc.relation.journalDrug Resistance Updatesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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