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Allo-targeting of the kinase domain: Insights from in silico studies and comparison with experiments.
Lee, Ji Young; Gebauer, Emma; Seeliger, Markus A; Bahar, Ivet.
Affiliation
  • Lee JY; Laufer Center for Physical & Quantitative Biology, Department of Biochemistry and Cell Biology, School of Medicine, Stony Brook University, NY 11794, USA.
  • Gebauer E; Laufer Center for Physical & Quantitative Biology, Department of Pharmacological Sciences, School of Medicine, Stony Brook University, NY 11794, USA.
  • Seeliger MA; Laufer Center for Physical & Quantitative Biology, Department of Pharmacological Sciences, School of Medicine, Stony Brook University, NY 11794, USA. Electronic address: markus.seeliger@stonybrook.edu.
  • Bahar I; Laufer Center for Physical & Quantitative Biology, Department of Biochemistry and Cell Biology, School of Medicine, Stony Brook University, NY 11794, USA. Electronic address: bahar@laufercenter.org.
Curr Opin Struct Biol ; 84: 102770, 2024 02.
Article in En | MEDLINE | ID: mdl-38211377
ABSTRACT
The eukaryotic protein kinase domain has been a broadly explored target for drug discovery, despite limitations imposed by its high sequence conservation as a shared modular domain and the development of resistance to drugs. One way of addressing those limitations has been to target its potential allosteric sites, shortly called allo-targeting, in conjunction with, or separately from, its conserved catalytic/orthosteric site that has been widely exploited. Allosteric regulation has gained importance as an alternative to overcome the drawbacks associated with the indiscriminate effect of targeting the active site, and it turned out to be particularly useful for these highly promiscuous and broadly shared kinase domains. Yet, allo-targeting often faces challenges as the allosteric sites are not as clearly defined as its orthosteric sites, and the effect on the protein function may not be unambiguously assessed. A robust understanding of the consequence of site-specific allo-targeting on the conformational dynamics of the target protein is essential to design effective allo-targeting strategies. Recent years have seen important advances in in silico identification of druggable sites and distinguishing among them those sites expected to allosterically mediate conformational switches essential to signal transmission. The present opinion underscores the utility of such computational approaches applied to the kinase domain, with the help of comparison between computational predictions and experimental observations.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Proteins / Drug Discovery Language: En Journal: Curr Opin Struct Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Proteins / Drug Discovery Language: En Journal: Curr Opin Struct Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Type: Article Affiliation country: United States