The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An unconventional gatekeeper mutation sensitizes inositol hexakisphosphate kinases to an allosteric inhibitor
Open accessPreprint — published as 10.7554/elife.88982 · Paper page
Abstract
Inositol hexakisphosphate kinases (IP6Ks) are emerging as relevant pharmacological targets because a multitude of disease-related phenotypes has been associated with their function. While the development of potent IP6K inhibitors is gaining momentum, a pharmacological tool to distinguish the mammalian isozymes is still lacking. Here, we implemented an analog-sensitive approach for IP6Ks and performed a high-throughput screen to identify suitable lead compounds. The most promising hit, FMP-201300, exhibited high potency and selectivity towards the unique valine gatekeeper mutants of IP6K1 and IP6K2, compared to the respective wild-type kinases. Biochemical validation experiments revealed an allosteric mechanism of action that was corroborated by HDX-MS measurements. The latter analysis suggested that displacement of the α C helix, caused by the gatekeeper mutation, facilitates the binding of FMP-201300 to an allosteric pocket adjacent to the ATP binding site. FMP-201300 therefore serves as a valuable springboard for the further development of compounds that can selectively target the three mammalian IP6Ks; either as analog-sensitive kinase inhibitors or as an allosteric lead compound for the wild-type kinases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Genetic compensation: A phenomenon in search of mechanisms
El-Brolosy, M. A., & Stainier, D. Y. R. (2017) · PLOS Genetics · doi:10.1371/journal.pgen.1006780 · Cited by 829
Flagged first, then by citations
Research works printed but not linked: 78
- aS. Mukherjee , J. Haubner , A. Chakraborty , Molecules 2020, 25; · DOI
- 2018, Journal of cellular physiology, 233, 1897, 10.1002/jcp.26017 · DOI
- 10.1073/pnas.0712227105 · DOI
- 2010, Cell, 143, 861, 10.1016/j.cell.2010.11.040 · DOI
- 10.1016/j.cell.2010.11.032 · DOI
- 10.1016/j.molcel.2014.02.020 · DOI
- 10.1073/pnas.1015671107 · DOI
- 10.1074/jbc.M101161200 · DOI
- 10.1073/pnas.1424642112 · DOI
- 2016, Scientific reports, 6, 32072, 10.1038/srep32072 · DOI
- 10.1126/science.1146824 · DOI
- 10.1074/jbc.M409416200 · DOI
- 2013, Cell Reports, 3, 1476, 10.1016/j.celrep.2013.03.043 · DOI
- 10.1016/S0896-6273(01)00384-1 · DOI
- 2016, The Journal of clinical investigation, 126, 4273, 10.1172/JCI85510 · DOI
- 10.1073/pnas.0711168105 · DOI
- 10.1523/JNEUROSCI.1069-15.2015 · DOI
- 10.1016/S0021-9258(18)53551-1 · DOI
- 10.1042/bj2930583 · DOI
- 10.1074/jbc.M900752200 · DOI
- 2016, Molecular metabolism, 5, 903, 10.1016/j.molmet.2016.08.008 · DOI
- 10.1002/1439-7633(20020902)3:9<897::AID-CBIC897>3.0.CO;2-B · DOI
- 2010, Journal of Molecular Signaling, 5, 5, 10.1186/1750-2187-5-5 · DOI
- T. Kröber , S. M. Bartsch , D. Fiedler , Advances in Biological Regulation 2022, 83. · DOI
- 2021, Nature communications, 12, 4847, 10.1038/s41467-021-24934-8 · DOI
- aY. Zhou , S. Mukherjee , D. Huang , M. Chakraborty , C. Gu , G. Zong , M. A. Stashko , K. H. Pearce , S. B. Shears , A. Chakraborty , H. Wang , X. Wang , Journal of Medicinal Chemistry 2022;
- M. M. Wormald , G. Ernst , H. Wei , J. C. Barrow , Bioorg Med Chem Lett 2019, 126628. · DOI
- 10.1074/jbc.M111.266320 · DOI
- 10.1042/bj20030142 · DOI
- 10.1074/jbc.275.17.12730 · DOI
- 10.1016/S0960-9822(98)70198-8 · DOI
- 10.1016/B978-0-12-397918-6.00008-2 · DOI
- 10.1021/ja983267v · DOI
- 10.1016/S1074-5521(99)80118-5 · DOI
- 10.1128/MCB.24.4.1721-1735.2004 · DOI
- 10.1128/MCB.23.17.6327-6337.2003 · DOI
- 10.1073/pnas.211195798 · DOI
- 10.1038/35036300 · DOI
- 2005, Bioorganic & medicinal chemistry, 13, 2825, 10.1016/j.bmc.2005.02.021 · DOI
- 2013, Cell reports, 5, 1725, 10.1016/j.celrep.2013.11.040 · DOI
- 2019, Advances in Biological Regulation, 71, 118, 10.1016/j.jbior.2018.10.006 · DOI
- 10.1074/jbc.M117.801845 · DOI · Paper page
- 2014, Nature communications, 5, 4178, 10.1038/ncomms5178 · DOI · Paper page
- c R. D. Blind , Adv Biol Regul 2019, 100667; · DOI
- 2018, Scientific reports, 8, 16672, 10.1038/s41598-018-34941-3 · DOI · Paper page
- 2019, Chemical Science, 10, 5267, 10.1039/C9SC00151D · DOI
- 10.1073/pnas.1111239108 · DOI
- 2017, PLoS One, 12, e0188852, 10.1371/journal.pone.0188852 · DOI
- 10.1042/BJ20130992 · DOI
- 10.1038/35030148 · DOI
- 10.1007/s11030-009-9187-z · DOI
- 10.1073/pnas.93.9.4305 · DOI
- 10.1021/acs.jmedchem.8b01593 · DOI · Paper page
- 10.1177/108705719900400206 · DOI · Paper page
- 1986, The lancet, 327, 307, 10.1016/S0140-6736(86)90837-8 · DOI · Paper page
- 2017, Food Funct, 8, 2437, 10.1039/C6FO01825D · DOI
- 2016, PLOS ONE, 11, e0161111, 10.1371/journal.pone.0161111 · DOI
- 10.1093/cvr/cvs304 · DOI
- 10.18632/oncotarget.17246 · DOI
- 10.1016/S1097-2765(05)00089-4 · DOI
- 2018, ACS chemical biology, 13, 36, 10.1021/acschembio.7b00903 · DOI
- 10.1021/ja01318a036 · DOI
- 10.1016/0006-2952(73)90196-2 · DOI · Paper page
- 10.1038/nature17960 · DOI
- 2012, ACS Medicinal Chemistry Letters, 3, 416, 10.1021/ml300049d · DOI
- 10.1016/j.tibs.2010.09.006 · DOI
- 10.1073/pnas.0607656103 · DOI
- 10.1016/j.drudis.2012.11.009 · DOI
- J. A. M. Morgan , A. Singh , L. Kurz , M. Nadler-Holly , M. Penkert , E. Krause , F. Liu , R. Bhandari , D. Fiedler , bioRxiv 2022, 2022.2011.2011.516170.
- 10.1002/cmdc.201200585 · DOI
- 2005, Nature methods, 2, 435, 10.1038/nmeth764 · DOI
- 10.1021/jm901443h · DOI
- 2014, PLoS computational biology, 10, e1003831, 10.1371/journal.pcbi.1003831 · DOI
- 2017, Nature Protocols, 12, 2391, 10.1038/nprot.2017.100 · DOI
- 2016, Nature methods, 13, 28, 10.1038/nmeth.3695 · DOI
- 10.1016/j.tibs.2014.10.005 · DOI
- 2021, Journal of the Chinese Chemical Society, 68, 2021, 10.1002/jccs.202100217 · DOI
- 2022, Journal of Medicinal Chemistry, 65, 922, 10.1021/acs.jmedchem.0c02076 · DOI
Metadata
- Authors
- Aguirre, T., Dornan, G. L., Hostachy, S., Neuenschwander, M., Seyffarth, C., Haucke, V., Schütz, A., von Kries, J. P., & Fiedler, D.
- Affiliations
- Humboldt-Universität zu Berlin (DE)
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (DE)
- Max Delbrück Center (DE)
- Corresponding author
- Fiedler, Dorothea
- ORCID
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2023-04-26
- OpenAlex
- W4367325775
- Cited by
- 2
- References
- 2
- Citations by year
- 2023: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- Funders
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft (390540038, TRR186/A08, TRR186, TRR186/ A08/ A24, EXC 2008)
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Leibniz-Gemeinschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Molecular Research
- Keywords
- inositol hexakisphosphate kinase, IP6K1, allosteric inhibition, gatekeeper mutation, high-throughput screening, hydrogen-deuterium exchange mass spectrometry, allosteric pocket, lead compound identification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review