Biophys J September 2018 PMID 30029773

Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors.

Anton V Sinitskiy, Vijay S Pande

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Mentions

7
Peak: 2 in Sep 2018
across 3 sources since Jun 2017

Extended reach

3,219
potential audience

Total likes

1

Video views

285

Mentions per month

Jun 2017 – Dec 2019

Where it's discussed

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AI synopsis

What people are saying

Overall, the discussions highlight a positive reception, with use of terms like 'exciting,' 'novel insights,' and 'potential breakthroughs.' For instance, posters mention the prediction of new conformations and the importance of simulating receptor flexibility, emphasizing both interest and recognition of the study's significance.

AgreementModerate agreement

Most discussions express support or curiosity about the publication's findings, reflecting general agreement on its scientific relevance.

InterestHigh interest

Posts show high curiosity, with many mentions of how the simulations could impact understanding of receptor behavior.

EngagementModerate engagement

Comments often delve into details about molecular dynamics and potential implications, indicating moderate engagement.

ImpactModerate impact

While some see the research as promising, there is acknowledgment that further studies are necessary before broad application.

Abstract in brief

  • The study uses molecular dynamics simulations to explore the various conformations of NMDA receptors (NMDARs), predicting that multiple structures observed experimentally may actually represent the same functional state due to rapid interconversion.
  • The simulations reveal differences in the behavior of NMDARs depending on whether they are bound to certain molecules (like agonists or coagonists), and predict five new conformations that combine features from known experimental structures.
  • A key limitation is that the simulations only cover a relatively short timescale, which restricts the ability to observe how NMDARs transition between different functional states, though the simulations provide valuable insights into their structural flexibility.

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bioRxiv Published
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Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors published as: https://t.co/23bjp713Qz @BiophysJ #biorxiv

Dec 9, 2019 · 2,905 followers View post →

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bioRxiv Published
@biorxiv_pubd · X

Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors published as: https://t.co/23bjp713Qz @BiophysJ #biorxiv

Dec 9, 2019 · 2,905 followers View post →
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DOI 10.1016/j.egypro.2018.06.023; Nazir S, 2017, COMPUT SECUR, V70, P436 ... bpj/1537, DOI 10.13005/bpj/1537]; Gopalan S.S., 2021, 2020 INT C COMMUNICA ...

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