Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening

Abstract Direct modulation of cardiac myosin function has emerged as a therapeutic target for both heart disease and heart failure. However, the development of myosin-based therapeutics has been hampered by the lack of targeted in vitro screening assays. In this study we use Artificial Intelligence-...

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Main Authors: Priyanka Parijat, Seetharamaiah Attili, Zoe Hoare, Michael Shattock, Victor Kenyon, Thomas Kampourakis
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-43538-y
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author Priyanka Parijat
Seetharamaiah Attili
Zoe Hoare
Michael Shattock
Victor Kenyon
Thomas Kampourakis
author_facet Priyanka Parijat
Seetharamaiah Attili
Zoe Hoare
Michael Shattock
Victor Kenyon
Thomas Kampourakis
author_sort Priyanka Parijat
collection DOAJ
description Abstract Direct modulation of cardiac myosin function has emerged as a therapeutic target for both heart disease and heart failure. However, the development of myosin-based therapeutics has been hampered by the lack of targeted in vitro screening assays. In this study we use Artificial Intelligence-based virtual high throughput screening (vHTS) to identify novel small molecule effectors of human β-cardiac myosin. We test the top scoring compounds from vHTS in biochemical counter-screens and identify a novel chemical scaffold called ‘F10’ as a cardiac-specific low-micromolar myosin inhibitor. Biochemical and biophysical characterization in both isolated proteins and muscle fibers show that F10 stabilizes both the biochemical (i.e. super-relaxed state) and structural (i.e. interacting heads motif) OFF state of cardiac myosin, and reduces force and left ventricular pressure development in isolated myofilaments and Langendorff-perfused hearts, respectively. F10 is a tunable scaffold for the further development of a novel class of myosin modulators.
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spelling doaj.art-fdb3305c07434d8c93e33d876a8dec582023-11-26T13:46:23ZengNature PortfolioNature Communications2041-17232023-11-0114111410.1038/s41467-023-43538-yDiscovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screeningPriyanka Parijat0Seetharamaiah Attili1Zoe Hoare2Michael Shattock3Victor Kenyon4Thomas Kampourakis5Randall Centre for Cell and Molecular Biophysics; and British Heart Foundation Centre of Research Excellence, King’s College LondonRandall Centre for Cell and Molecular Biophysics; and British Heart Foundation Centre of Research Excellence, King’s College LondonSchool of Cardiovascular and Metabolic Medicine and Sciences; Rayne Institute and British Heart Foundation Centre of Research Excellence, King’s College LondonSchool of Cardiovascular and Metabolic Medicine and Sciences; Rayne Institute and British Heart Foundation Centre of Research Excellence, King’s College LondonAtomwise Inc.Randall Centre for Cell and Molecular Biophysics; and British Heart Foundation Centre of Research Excellence, King’s College LondonAbstract Direct modulation of cardiac myosin function has emerged as a therapeutic target for both heart disease and heart failure. However, the development of myosin-based therapeutics has been hampered by the lack of targeted in vitro screening assays. In this study we use Artificial Intelligence-based virtual high throughput screening (vHTS) to identify novel small molecule effectors of human β-cardiac myosin. We test the top scoring compounds from vHTS in biochemical counter-screens and identify a novel chemical scaffold called ‘F10’ as a cardiac-specific low-micromolar myosin inhibitor. Biochemical and biophysical characterization in both isolated proteins and muscle fibers show that F10 stabilizes both the biochemical (i.e. super-relaxed state) and structural (i.e. interacting heads motif) OFF state of cardiac myosin, and reduces force and left ventricular pressure development in isolated myofilaments and Langendorff-perfused hearts, respectively. F10 is a tunable scaffold for the further development of a novel class of myosin modulators.https://doi.org/10.1038/s41467-023-43538-y
spellingShingle Priyanka Parijat
Seetharamaiah Attili
Zoe Hoare
Michael Shattock
Victor Kenyon
Thomas Kampourakis
Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
Nature Communications
title Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
title_full Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
title_fullStr Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
title_full_unstemmed Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
title_short Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening
title_sort discovery of a novel cardiac specific myosin modulator using artificial intelligence based virtual screening
url https://doi.org/10.1038/s41467-023-43538-y
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