Evidence map›Paper›PMID 27258368›Full record

ArticleThe journal of physical chemistry. B2016

Moving Beyond Active-Site Detection: MixMD Applied to Allosteric Systems.

Phani Ghanakota, Heather A Carlson

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

59 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Predicting multiple conformations of ligand binding sites in proteins suggests that AlphaFold2 may remember too much.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. In Silico Exploration of the Trypanothione Reductase (TryR) ofInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Mapping the binding sites of challenging drug targets.Current opinion in structural biology · 2022
    Review
  20. 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.

Phani GhanakotaDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan , 428 Church Street, Ann Arbor, Michigan 48109-1065, United States.
Heather A CarlsonDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan , 428 Church Street, Ann Arbor, Michigan 48109-1065, United States.
University of Michigan–Ann Arbor · US

Funding

Multiple Protein Structures in Computational Drug DesignR01GM065372 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARLSON, HEATHER A · 2002 to 2021
$3.4M
NIGMS NIH HHS R01 GM065372
6 · The paper itself

Abstract

Mixed-solvent molecular dynamics (MixMD) is a hotspot-mapping technique that relies on molecular dynamics simulations of proteins in binary solvent mixtures. Previous work on MixMD has established the technique's effectiveness in capturing binding sites of small organic compounds. In this work, we show that MixMD can identify both competitive and allosteric sites on proteins. The MixMD approach embraces full protein flexibility and allows competition between solvent probes and water. Sites preferentially mapped by probe molecules are more likely to be binding hotspots. There are two important requirements for the identification of ligand-binding hotspots: (1) hotspots must be mapped at very high signal-to-noise ratio and (2) the hotspots must be mapped by multiple probe types. We have developed our mapping protocol around acetonitrile, isopropanol, and pyrimidine as probe solvents because they allowed us to capture hydrophilic, hydrophobic, hydrogen-bonding, and aromatic interactions. Charged probes were needed for mapping one target, and we introduce them in this work. In order to demonstrate the robust nature and wide applicability of the technique, a combined total of 5 μs of MixMD was applied across several protein targets known to exhibit allosteric modulation. Most notably, all the protein crystal structures used to initiate our simulations had no allosteric ligands bound, so there was no preorganization of the sites to predispose the simulations to find the allosteric hotspots. The protein test cases were ABL Kinase, Androgen Receptor, CHK1 Kinase, Glucokinase, PDK1 Kinase, Farnesyl Pyrophosphate Synthase, and Protein-Tyrosine Phosphatase 1B. The success of the technique is demonstrated by the fact that the top-four sites solely map the competitive and allosteric sites. Lower-ranked sites consistently map other biologically relevant sites, multimerization interfaces, or crystal-packing interfaces. Lastly, we highlight the importance of including protein flexibility by demonstrating that MixMD can map allosteric sites that are not detected in half the systems using FTMap applied to the same crystal structures.

Indexed as

Allosteric RegulationCatalytic DomainMolecular Dynamics Simulation2-PropanolAcetonitrilesCheckpoint Kinase 1GeranyltranstransferaseGlucokinaseHydrogen BondingHydrophobic and Hydrophilic InteractionsProtein MultimerizationProtein Serine-Threonine KinasesProtein Structure, SecondaryProtein Tyrosine Phosphatase, Non-Receptor Type 1PyrimidinesPyruvate Dehydrogenase Acetyl-Transferring Kinase2-PropanolacetonitrileAcetonitrilesCheckpoint Kinase 1GeranyltranstransferaseGlucokinaseProtein Serine-Threonine KinasesProtein Tyrosine Phosphatase, Non-Receptor Type 1pyrimidinePyrimidinesPyruvate Dehydrogenase Acetyl-Transferring KinaseReceptors, AndrogenSolventsWater

Identifiers

PMID27258368
PMCPMC5214548
OpenAlexW2440786981

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.