Cited by 77Computational Drug Discovery MethodsReceptor Mechanisms and SignalingNeurotransmitter Receptor Influence on Behavior

Life Beyond Kinases: Structure-Based Discovery of Sorafenib as Nanomolar Antagonist of 5-HT Receptors

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Lin, Xingyu, Huang, Xi-Ping, Chen, Gang, Whaley, Ryan, Peng, Shiming, Wang, Yanli, Zhang, Guoliang, Wang, Simon X. +3 more·2012·Journal of Medicinal Chemistry

Abstract

Of great interest in recent years has been computationally predicting the novel polypharmacology of drug molecules. Here, we applied an "induced-fit" protocol to improve the homology models of 5-HT(2A) receptor, and we assessed the quality of these models in retrospective virtual screening. Subsequently, we computationally screened the FDA approved drug molecules against the best induced-fit 5-HT(2A) models and chose six top scoring hits for experimental assays. Surprisingly, one well-known kinase inhibitor, sorafenib, has shown unexpected promiscuous 5-HTRs binding affinities, K(i) = 1959, 56, and 417 nM against 5-HT(2A), 5-HT(2B), and 5-HT(2C), respectively. Our preliminary SAR exploration supports the predicted binding mode and further suggests sorafenib to be a novel lead compound for 5HTR ligand discovery. Although it has been well-known that sorafenib produces anticancer effects through targeting multiple kinases, carefully designed experimental studies are desirable to fully understand whether its "off-target" 5-HTR binding activities contribute to its therapeutic efficacy or otherwise undesirable side effects.

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  • GPCRs are important off-targets for kinase inhibitors, ion channel modulators, anti-infectives and other drug-like molecules.

    “GPCRs also represent important off-targets for kinase inhibitors62,63, ion channel modulators64, anti-infectives65 and other classes of drug-like molecules53,54.”

    From Unexplored therapeutic opportunities in the human genome (2018) · cites this paper as [63]

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Authors
Lin, X., Huang, X.-P., Chen, G., Whaley, R., Peng, S., Wang, Y., Zhang, G., Wang, S. X., Wang, S., Roth, B. L., & Huang, N.
Affiliations
  • Beijing Normal University (CN)
  • University of North Carolina at Chapel Hill (US)
  • BeiGene (China) (CN)
  • National Institute of Biological Sciences, Beijing (CN)
  • Howard University (US)
Corresponding author
Huang, Niu
Venue
Journal of Medicinal Chemistry
Published
2012-06-19
Volume
55
Issue
12
Pages
5749-5759
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2023591690
Cited by
73
References
80
Citations by year
2026: 3 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 6 · 2020: 4 · 2019: 4 · 2018: 8 · 2017: 9 · 2016: 2 · 2015: 6 · 2014: 4 · 2013: 14 · 2012: 4
FWCI
9.96
Type
journal article
Language
en
Open access
Locations
  • Journal of Medicinal Chemistry (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • BeiGene
  • Ministry of Science and Technology of the People's Republic of China
  • National Institute of Mental Health (U19MH082441, R01MH82441, R01MH061887)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
sorafenib, serotonin receptors, 5-HT2A receptor, 5-HT2B receptor, 5-HT2C receptor, off-target binding, polypharmacology, virtual screening, kinase inhibitors, structure-based drug design, binding affinity, structure-activity relationship
MeSH terms
Sorafenib, Antineoplastic Agents, Benzenesulfonates, Cyproheptadine, Ketanserin, Niacinamide, Phenylurea Compounds, Protein Conformation, Pyridines, Receptors, Serotonin, Serotonin Antagonists, United States, United States Food and Drug Administration, User-Computer Interface, Drug Approval, Sequence Homology, Amino Acid, Drug Discovery, Molecular Dynamics Simulation

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