Evidence map›Paper›PMID 28252958›Full record

ArticleJournal of chemical theory and computation2017

Mixed-Probe Simulation and Probe-Derived Surface Topography Map Analysis for Ligand Binding Site Identification.

Abdallah Sayyed-Ahmad, Alemayehu A Gorfe

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Article
  4. Applications of Molecular Dynamics Simulations in Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Cosolvent and Dynamic Effects in Binding Pocket Search by Docking Simulations.Journal of chemical information and modeling · 2021
    Article
  9. Review
  10. Molecular Dynamics Simulation of Lipid-Modified Signaling Proteins.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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.

Abdallah Sayyed-AhmadDepartment of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston , 6431 Fannin Street, Houston, Texas 77030, United States.ORCID http://orcid.org/0000-0003-2415-8403
Alemayehu A GorfeDepartment of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston , 6431 Fannin Street, Houston, Texas 77030, United States.ORCID http://orcid.org/0000-0002-9328-4692
The University of Texas Health Science Center at Houston · US

Funding

Nanoclusters of Lipid-anchored Proteins in Membranes: How and where they appearR01GM100078 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GORFE, ALEMAYEHU A. · 2012 to 2016
$1.4M
NIGMS NIH HHS R01 GM100078
6 · The paper itself

Abstract

Membrane proteins represent a considerable fraction of pharmaceutical drug targets. A computational technique to identify ligand binding pockets in these proteins is therefore of great importance. We recently reported such a technique called pMD-membrane that utilizes small molecule probes to detect ligand binding sites and surface hotspots on membrane proteins based on probe-based molecular dynamics simulation. The current work extends pMD-membrane to a diverse set of small organic molecular species that can be used as cosolvents during simulation of membrane proteins. We also describe a projection technique for globally quantifying probe densities on the protein surface and introduce a technique to construct surface topography maps directly from the probe-binding propensity of surface residues. The map reveals surface patterns and geometric features that aid in filtering out high probe density hotspots lacking pocketlike characteristics. We demonstrate the applicability of the extended pMD-membrane and the new analysis tool by exploring the druggability of full-length G12D, G12V, and G13D oncogenic K-Ras mutants bound to a negatively charged lipid bilayer. Using data from 30 pMD-membrane runs conducted in the presence of a 2.8 M cosolvent made up of an equal proportion of seven small organic molecules, we show that our approach robustly identifies known allosteric ligand binding sites and other reactive regions on K-Ras. Our results also show that accessibility of some pockets is modulated by differential membrane interactions.

Indexed as

Molecular Dynamics SimulationBinding SitesHumansLigandsMolecular ProbesProto-Oncogene Proteins p21(ras)Surface PropertiesLigandsMolecular ProbesProto-Oncogene Proteins p21(ras)

Identifiers

PMID28252958
PMCPMC6348101
OpenAlexW2593877008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.