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6
result(s) for
"Mathy, Christopher J. P."
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A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
by
Bouhaddou, Mehdi
,
Batra, Jyoti
,
Mac Kain, Alice
in
Animals
,
Antiviral Agents - classification
,
Antiviral Agents - pharmacology
2020
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption
. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
Journal Article
Systems-level effects of allosteric perturbations to a model molecular switch
2021
Molecular switch proteins whose cycling between states is controlled by opposing regulators
1
,
2
are central to biological signal transduction. As switch proteins function within highly connected interaction networks
3
, the fundamental question arises of how functional specificity is achieved when different processes share common regulators. Here we show that functional specificity of the small GTPase switch protein Gsp1 in
Saccharomyces cerevisiae
(the homologue of the human protein RAN)
4
is linked to differential sensitivity of biological processes to different kinetics of the Gsp1 (RAN) switch cycle. We make 55 targeted point mutations to individual protein interaction interfaces of Gsp1 (RAN) and show through quantitative genetic
5
and physical interaction mapping that Gsp1 (RAN) interface perturbations have widespread cellular consequences. Contrary to expectation, the cellular effects of the interface mutations group by their biophysical effects on kinetic parameters of the GTPase switch cycle and not by the targeted interfaces. Instead, we show that interface mutations allosterically tune the GTPase cycle kinetics. These results suggest a model in which protein partner binding, or post-translational modifications at distal sites, could act as allosteric regulators of GTPase switching. Similar mechanisms may underlie regulation by other GTPases, and other biological switches. Furthermore, our integrative platform to determine the quantitative consequences of molecular perturbations may help to explain the effects of disease mutations that target central molecular switches.
Interface mutations in the GTPase switch protein Gsp1 (the yeast homologue of human RAN) allosterically affect the kinetics of the switch cycle, revealing a systems-level mechanism of multi-specificity.
Journal Article
Biophysical basis of cellular multi-specificity encoded in a model molecular switch
by
Kortemme, Tanja
,
Lambright, David G
,
Kelly, Mark J S
in
Allosteric properties
,
Gene mapping
,
Guanosine triphosphatases
2021
Molecular switches are central to signal transduction in protein interaction networks. One switch protein can independently regulate distinct cellular processes, but the molecular mechanisms enabling this functional multi-specificity remain unclear. Here we integrate system-scale cellular and biophysical measurements to study how a paradigm switch, the small GTPase Ran/Gsp1, achieves its functional multi-specificity. We make 55 targeted point mutations to individual interactions of Ran/Gsp1 and show through quantitative, systematic genetic and physical interaction mapping that Ran/Gsp1 interface perturbations have widespread cellular consequences that cluster by biological processes but, unexpectedly, not by the targeted interactions. Instead, the cellular consequences of the interface mutations group by their biophysical effects on kinetic parameters of the GTPase switch cycle, and cycle kinetics are allosterically tuned by distal interface mutations. We propose that the functional multi-specificity of Ran/Gsp1 is encoded by a differential sensitivity of biological processes to different kinetic parameters of the Gsp1 switch cycle, and that Gsp1 partners binding to the sites of distal mutations act as allosteric regulators of the switch. Similar mechanisms may underlie biological regulation by other GTPases and biological switches. Finally, our integrative platform to determine the quantitative consequences of cellular perturbations may help explain the effects of disease mutations targeting central switches. Competing Interest Statement The authors have declared no competing interest.
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
by
García-Sastre, Adolfo
,
Kortemme, Tanja
,
Bouhaddou, Mehdi
in
Antiviral agents
,
Clinical trials
,
Coronaviridae
2020
An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption
. There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 67 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.
Journal Article
Complete mutational mapping of a GTPase switch in vivo reveals novel allosteric regulation
by
Kortemme, Tanja
,
Mishra, Parul
,
Perica, Tina
in
Allosteric properties
,
Guanosine triphosphatases
,
Mutagenesis
2022
GTPases are highly regulated molecular switches that control signaling. Switching occurs via catalyzed GTP hydrolysis and nucleotide exchange, yet the importance of additional regulation for biological function - suggested by high GTPase conservation and centrality in protein networks - is unclear. Here we map the function of each residue in the central GTPase Gsp1/Ran in its native biological network by deep mutagenesis. 28% of 4315 assayed mutations in Gsp1/Ran show a toxic/gain-of-function (GOF) response, and 20/60 positions enriched for GOF mutations are outside the GTPase active site. Kinetic analysis shows that these sites are allosterically coupled to the active site, identifying distinct mechanisms that alter Gsp1/Ran cellular function by modulating GTPase switching. Our systematic discovery of new regulatory sites provides a functional map relevant to other GTPases such as Ras. Competing Interest Statement The authors have declared no competing interest. Footnotes * https://github.com/cjmathy/Gsp1_DMS_Manuscript/