Evidence map›Paper›PMID 26218073›Full record

ArticlePLoS computational biology2015

Nullspace Sampling with Holonomic Constraints Reveals Molecular Mechanisms of Protein Gαs.

Dimitar V Pachov, Henry van den Bedem

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Dimitar V PachovDepartment of Chemistry, Stanford University, Stanford, California, United States of America.
Henry van den BedemJoint Center for Structural Genomics, Stanford Synchrotron Radiation Lightsource, Stanford University, Stanford, California, United States of America.
Stanford University · US

Funding

Structure Determination Core at SSRLU54GM094586 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI HODGSON, KEITH O · 2010 to 2014
$40.1M
NIGMS NIH HHS U54 GM094586NIGMS NIH HHS U54GM094586
6 · The paper itself

Abstract

Proteins perform their function or interact with partners by exchanging between conformational substates on a wide range of spatiotemporal scales. Structurally characterizing these exchanges is challenging, both experimentally and computationally. Large, diffusional motions are often on timescales that are difficult to access with molecular dynamics simulations, especially for large proteins and their complexes. The low frequency modes of normal mode analysis (NMA) report on molecular fluctuations associated with biological activity. However, NMA is limited to a second order expansion about a minimum of the potential energy function, which limits opportunities to observe diffusional motions. By contrast, kino-geometric conformational sampling (KGS) permits large perturbations while maintaining the exact geometry of explicit conformational constraints, such as hydrogen bonds. Here, we extend KGS and show that a conformational ensemble of the α subunit Gαs of heterotrimeric stimulatory protein Gs exhibits structural features implicated in its activation pathway. Activation of protein Gs by G protein-coupled receptors (GPCRs) is associated with GDP release and large conformational changes of its α-helical domain. Our method reveals a coupled α-helical domain opening motion while, simultaneously, Gαs helix α5 samples an activated conformation. These motions are moderated in the activated state. The motion centers on a dynamic hub near the nucleotide-binding site of Gαs, and radiates to helix α4. We find that comparative NMA-based ensembles underestimate the amplitudes of the motion. Additionally, the ensembles fall short in predicting the accepted direction of the full activation pathway. Taken together, our findings suggest that nullspace sampling with explicit, holonomic constraints yields ensembles that illuminate molecular mechanisms involved in GDP release and protein Gs activation, and further establish conformational coupling between key structural elements of Gαs.

Indexed as

Molecular Dynamics SimulationBinding SitesChromograninsDiffusionGTP-Binding Protein alpha Subunits, GsGuanosine DiphosphateModels, ChemicalProtein BindingProtein ConformationProtein SubunitsReceptors, G-Protein-CoupledChromograninsGnas protein, mouseGTP-Binding Protein alpha Subunits, GsGuanosine DiphosphateProtein SubunitsReceptors, G-Protein-Coupled

Identifiers

PMID26218073
PMCPMC4517867
OpenAlexW2103839635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.