Literature DB >> 32167602

Chemical Perturbation of Oncogenic Protein Folding: from the Prediction of Locally Unstable Structures to the Design of Disruptors of Hsp90-Client Interactions.

Antonella Paladino1, Mark R Woodford2,3,4, Sarah J Backe2,3,4, Rebecca A Sager2,3,4,5, Priyanka Kancherla2,4, Michael A Daneshvar2,4, Victor Z Chen2,3,4, Dimitra Bourboulia2,3,4, Elham F Ahanin2,3,4, Chrisostomos Prodromou6, Greta Bergamaschi1, Alessandro Strada1, Marina Cretich1, Alessandro Gori1, Marina Veronesi7, Tiziano Bandiera7, Renzo Vanna8, Gennady Bratslavsky2,3,4, Stefano A Serapian9, Mehdi Mollapour2,3,4, Giorgio Colombo1,9.   

Abstract

Protein folding quality control in cells requires the activity of a class of proteins known as molecular chaperones. Heat shock protein-90 (Hsp90), a multidomain ATP driven molecular machine, is a prime representative of this family of proteins. Interactions between Hsp90, its co-chaperones, and client proteins have been shown to be important in facilitating the correct folding and activation of clients. Hsp90 levels and functions are elevated in tumor cells. Here, we computationally predict the regions on the native structures of clients c-Abl, c-Src, Cdk4, B-Raf and Glucocorticoid Receptor, that have the highest probability of undergoing local unfolding, despite being ordered in their native structures. Such regions represent potential ideal interaction points with the Hsp90-system. We synthesize mimics spanning these regions and confirm their interaction with partners of the Hsp90 complex (Hsp90, Cdc37 and Aha1) by Nuclear Magnetic Resonance (NMR). Designed mimics selectively disrupt the association of their respective clients with the Hsp90 machinery, leaving unrelated clients unperturbed and causing apoptosis in cancer cells. Overall, selective targeting of Hsp90 protein-protein interactions is achieved without causing indiscriminate degradation of all clients, setting the stage for the development of therapeutics based on specific chaperone:client perturbation.
© 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  co-chaperones; heat shock protein Hsp90; molecular recognition; protein dynamics; protein-protein interaction inhibitors

Mesh:

Substances:

Year:  2020        PMID: 32167602      PMCID: PMC7415569          DOI: 10.1002/chem.202000615

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  50 in total

1.  Molecular Mechanism of Protein Kinase Recognition and Sorting by the Hsp90 Kinome-Specific Cochaperone Cdc37.

Authors:  Dimitra Keramisanou; Adam Aboalroub; Ziming Zhang; Wenjun Liu; Devon Marshall; Andrea Diviney; Randy W Larsen; Ralf Landgraf; Ioannis Gelis
Journal:  Mol Cell       Date:  2016-04-21       Impact factor: 17.970

Review 2.  The HSP90 chaperone machinery.

Authors:  Florian H Schopf; Maximilian M Biebl; Johannes Buchner
Journal:  Nat Rev Mol Cell Biol       Date:  2017-04-21       Impact factor: 94.444

Review 3.  Structure, function and regulation of the hsp90 machinery.

Authors:  Jing Li; Johannes Buchner
Journal:  Biomed J       Date:  2013 May-Jun       Impact factor: 4.910

Review 4.  Targeting the dynamic HSP90 complex in cancer.

Authors:  Jane Trepel; Mehdi Mollapour; Giuseppe Giaccone; Len Neckers
Journal:  Nat Rev Cancer       Date:  2010-08       Impact factor: 60.716

Review 5.  Conformational dynamics of the molecular chaperone Hsp90.

Authors:  Kristin A Krukenberg; Timothy O Street; Laura A Lavery; David A Agard
Journal:  Q Rev Biophys       Date:  2011-03-18       Impact factor: 5.318

Review 6.  Hsp90 and co-chaperones twist the functions of diverse client proteins.

Authors:  Abbey Zuehlke; Jill L Johnson
Journal:  Biopolymers       Date:  2010-03       Impact factor: 2.505

7.  Fluorine-NMR experiments for high-throughput screening: theoretical aspects, practical considerations, and range of applicability.

Authors:  Claudio Dalvit; Paul E Fagerness; Daneen T A Hadden; Ronald W Sarver; Brian J Stockman
Journal:  J Am Chem Soc       Date:  2003-06-25       Impact factor: 15.419

8.  Targeting the FKBP51/GR/Hsp90 Complex to Identify Functionally Relevant Treatments for Depression and PTSD.

Authors:  Jonathan J Sabbagh; Ricardo A Cordova; Dali Zheng; Marangelie Criado-Marrero; Andrea Lemus; Pengfei Li; Jeremy D Baker; Bryce A Nordhues; April L Darling; Carlos Martinez-Licha; Daniel A Rutz; Shreya Patel; Johannes Buchner; James W Leahy; John Koren; Chad A Dickey; Laura J Blair
Journal:  ACS Chem Biol       Date:  2018-06-19       Impact factor: 5.100

Review 9.  Direct and Propagated Effects of Small Molecules on Protein-Protein Interaction Networks.

Authors:  Laura C Cesa; Anna K Mapp; Jason E Gestwicki
Journal:  Front Bioeng Biotechnol       Date:  2015-08-24

10.  Blocking the survival of the nastiest by HSP90 inhibition.

Authors:  Paul Workman; Paul A Clarke; Bissan Al-Lazikani
Journal:  Oncotarget       Date:  2016-01-26
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  14 in total

1.  ATP-Driven Nonequilibrium Activation of Kinase Clients by the Molecular Chaperone Hsp90.

Authors:  Huafeng Xu
Journal:  Biophys J       Date:  2020-09-11       Impact factor: 4.033

2.  Synthesis and Evaluation of Small Molecule Disruptors of the Aha1/Hsp90 Complex for the Reduction of Tau Aggregation.

Authors:  Bradley M Keegan; Kevin C Catalfano; Monimoy Banerjee; Brian S J Blagg
Journal:  ACS Med Chem Lett       Date:  2022-04-15       Impact factor: 4.632

Review 3.  Therapeutic potential of CDK4/6 inhibitors in renal cell carcinoma.

Authors:  Rebecca A Sager; Sarah J Backe; Elham Ahanin; Garrett Smith; Imad Nsouli; Mark R Woodford; Gennady Bratslavsky; Dimitra Bourboulia; Mehdi Mollapour
Journal:  Nat Rev Urol       Date:  2022-03-09       Impact factor: 16.430

4.  Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics.

Authors:  Filippo Marchetti; Elisabetta Moroni; Alessandro Pandini; Giorgio Colombo
Journal:  J Phys Chem Lett       Date:  2021-04-12       Impact factor: 6.475

5.  The tumor suppressor folliculin inhibits lactate dehydrogenase A and regulates the Warburg effect.

Authors:  Mark R Woodford; Alexander J Baker-Williams; Rebecca A Sager; Sarah J Backe; Adam R Blanden; Fiza Hashmi; Priyanka Kancherla; Alessandro Gori; David R Loiselle; Matteo Castelli; Stefano A Serapian; Giorgio Colombo; Timothy A Haystead; Sandra M Jensen; William G Stetler-Stevenson; Stewart N Loh; Laura S Schmidt; W Marston Linehan; Alaji Bah; Dimitra Bourboulia; Gennady Bratslavsky; Mehdi Mollapour
Journal:  Nat Struct Mol Biol       Date:  2021-08-11       Impact factor: 18.361

6.  The Answer Lies in the Energy: How Simple Atomistic Molecular Dynamics Simulations May Hold the Key to Epitope Prediction on the Fully Glycosylated SARS-CoV-2 Spike Protein.

Authors:  Stefano A Serapian; Filippo Marchetti; Alice Triveri; Giulia Morra; Massimiliano Meli; Elisabetta Moroni; Giuseppe A Sautto; Andrea Rasola; Giorgio Colombo
Journal:  J Phys Chem Lett       Date:  2020-09-14       Impact factor: 6.475

7.  Markov state models and NMR uncover an overlooked allosteric loop in p53.

Authors:  Emilia P Barros; Özlem Demir; Jenaro Soto; Melanie J Cocco; Rommie E Amaro
Journal:  Chem Sci       Date:  2020-12-16       Impact factor: 9.825

8.  Design and Synthesis of TRAP1 Selective Inhibitors: H-Bonding with Asn171 Residue in TRAP1 Increases Paralog Selectivity.

Authors:  Sujae Yang; Nam Gu Yoon; Dongyoung Kim; Eunsun Park; So-Yeon Kim; Ji Hoon Lee; Changwook Lee; Byoung Heon Kang; Soosung Kang
Journal:  ACS Med Chem Lett       Date:  2021-06-16       Impact factor: 4.632

9.  Simple Model of Protein Energetics To Identify Ab Initio Folding Transitions from All-Atom MD Simulations of Proteins.

Authors:  Massimiliano Meli; Giulia Morra; Giorgio Colombo
Journal:  J Chem Theory Comput       Date:  2020-08-03       Impact factor: 6.006

Review 10.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
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