Evidence map›Paper›PMID 37086179›Full record

ArticleJournal of chemical information and modeling2023

Discovery and Validation of the Binding Poses of Allosteric Fragment Hits to Protein Tyrosine Phosphatase 1b: From Molecular Dynamics Simulations to X-ray Crystallography.

Jack B Greisman, Lindsay Willmore, Christine Y Yeh, Fabrizio Giordanetto, Sahar Shahamadtar, Hunter Nisonoff, Paul Maragakis, David E Shaw

Abstract readLetter
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Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

22 citing papers in PubMed.

  1. Review
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  13. Thermal Titration Molecular Dynamics: The Revenge of the Fragments.Journal of chemical information and modeling · 2025
    Article
  14. Article
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  19. High-resolution double vision of the allosteric phosphatase PTP1B.Acta crystallographica. Section F, Structural biology communications · 2024
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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

8 authors.

Jack B GreismanD. E. Shaw Research, New York, New York 10036, United States.ORCID 0000-0002-6394-2658
Lindsay WillmoreD. E. Shaw Research, New York, New York 10036, United States.
Christine Y YehD. E. Shaw Research, New York, New York 10036, United States.ORCID 0000-0003-4217-8555
Fabrizio GiordanettoD. E. Shaw Research, New York, New York 10036, United States.ORCID 0000-0001-9876-9552
Sahar ShahamadtarD. E. Shaw Research, New York, New York 10036, United States.
Hunter NisonoffD. E. Shaw Research, New York, New York 10036, United States.
Paul MaragakisD. E. Shaw Research, New York, New York 10036, United States.
David E ShawD. E. Shaw Research, New York, New York 10036, United States.ORCID 0000-0001-8265-5761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fragment-based drug discovery has led to six approved drugs, but the small sizes of the chemical fragments used in such methods typically result in only weak interactions between the fragment and its target molecule, which makes it challenging to experimentally determine the three-dimensional poses fragments assume in the bound state. One computational approach that could help address this difficulty is long-timescale molecular dynamics (MD) simulations, which have been used in retrospective studies to recover experimentally known binding poses of fragments. Here, we present the results of long-timescale MD simulations that we used to prospectively discover binding poses for two series of fragments in allosteric pockets on a difficult and important pharmaceutical target, protein tyrosine phosphatase 1b (PTP1b). Our simulations reversibly sampled the fragment association and dissociation process. One of the binding pockets found in the simulations has not to our knowledge been previously observed with a bound fragment, and the other pocket adopted a very rare conformation. We subsequently obtained high-resolution crystal structures of members of each fragment series bound to PTP1b, and the experimentally observed poses confirmed the simulation results. To the best of our knowledge, our findings provide the first demonstration that MD simulations can be used prospectively to determine fragment binding poses to previously unidentified pockets.

Indexed as

Molecular Dynamics SimulationProtein Tyrosine Phosphatase, Non-Receptor Type 1Binding SitesCrystallography, X-RayDrug DiscoveryProtein BindingRetrospective StudiesProtein Tyrosine Phosphatase, Non-Receptor Type 1

Identifiers

PMID37086179
PMCPMC10170502

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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.