Evidence map›Paper›PMID 38861991›Full record

ArticleStructure (London, England : 1993)2024

An expanded trove of fragment-bound structures for the allosteric enzyme PTP1B from computational reanalysis of large-scale crystallographic data.

Tamar Mehlman, Helen M Ginn, Daniel A Keedy

Abstract readLegislation
In one paragraph

Article in Structure (London, England : 1993), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Tamar MehlmanStructural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031, USA; PhD Program in Biochemistry, CUNY Graduate Center, New York, NY 10016, USA.
Helen M GinnCenter for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany; Institute for Nanostructure and Solid State Physics, Universität Hamburg, Hamburg, Germany; Division of Life Sciences, Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.
Daniel A KeedyStructural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031, USA; Department of Chemistry and Biochemistry, City College of New York, New York, NY 10031, USA; PhD Programs in Biochemistry, Biology, & Chemistry, CUNY Graduate Center, New York, NY 10016, USA. Electronic address: dkeedy@gc.cuny.edu.

Funding

Nanuq Cryocooling SystemR35GM133769 · NIGMS · ADVANCED SCIENCE RESEARCH CENTER · PI Daniel A Keedy · 2019 to 2026
$2.9M
NIGMS NIH HHS R35 GM133769
6 · The paper itself

Abstract

Due to their low binding affinities, detecting small-molecule fragments bound to protein structures from crystallographic datasets has been a challenge. Here, we report a trove of 65 new fragment hits for PTP1B, an "undruggable" therapeutic target enzyme for diabetes and cancer. These structures were obtained from computational analysis of data from a large crystallographic screen, demonstrating the power of this approach to elucidate many (∼50% more) "hidden" ligand-bound states of proteins. Our new structures include a fragment hit found in a novel binding site in PTP1B with a unique location relative to the active site, one that links adjacent allosteric sites, and, perhaps most strikingly, a fragment that induces long-range allosteric protein conformational responses. Altogether, our research highlights the utility of computational analysis of crystallographic data, makes publicly available dozens of new ligand-bound structures of a high-value drug target, and identifies novel aspects of ligandability and allostery in PTP1B.

Indexed as

Allosteric SiteProtein BindingProtein Tyrosine Phosphatase, Non-Receptor Type 1Allosteric RegulationBinding SitesCatalytic DomainCrystallography, X-RayEnzyme InhibitorsHumansLigandsModels, MolecularProtein ConformationSmall Molecule LibrariesEnzyme InhibitorsLigandsProtein Tyrosine Phosphatase, Non-Receptor Type 1PTPN1 protein, humanSmall Molecule Librariesallosteric ligandsallosterycomputational crystallographyfragment screeningphosphatasesprotein structurePTP1BX-ray crystallography

Identifiers

PMID38861991
PMCPMC11316629

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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.