Evidence map›Paper›PMID 25137482›Full record

ArticleACS chemical biology2014

Resurfaced shape complementary proteins that selectively bind the oncoprotein gankyrin.

Alex M Chapman, Brian R McNaughton

Abstract readLetter
In one paragraph

Article in ACS chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Alex M ChapmanDepartment of Chemistry and ‡Department of Biochemistry & Molecular Biology, Colorado State University , Fort Collins, Colorado 80523, United States.
Brian R McNaughton
Colorado State University · US

Funding

Identification of Protein Drug Leads That Address Challenges to Small Molecule CeR01GM107520 · NIGMS · COLORADO STATE UNIVERSITY · PI KENNAN, ALAN J · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM107520NIGMS NIH HHS R01GM107520
6 · The paper itself

Abstract

Increased cellular levels of protein-protein interactions involving the ankyrin repeat oncoprotein gankyrin are directly linked to aberrant cellular events and numerous cancers. Inhibition of these protein-protein interactions is thus an attractive therapeutic strategy. However, the relatively featureless topology of gankyrin's putative binding face and large surface areas involved in gankyrin-dependent protein-protein interactions present a dramatic challenge to small molecule discovery. The size, high folding energies, and well-defined surfaces present in many proteins overcome some of the challenges faced by small molecule discovery. We used split-superpositive Green Fluorescent Protein (split-spGFP) reassembly to screen a 5×10(9) library of resurfaced proteins that are shape complementary to the putative binding face of gankyrin and identified mutants that potently and selectively bind this oncoprotein in vitro and in living cells. Collectively, our findings represent the first synthetic proteins that bind gankyrin and may represent a general strategy for developing protein basic research tools and drug leads that bind disease-relevant ankyrin repeats.

Indexed as

Calorimetry, Differential ScanningFlow CytometryGreen Fluorescent ProteinsHumansMembrane ProteinsMutationProteasome Endopeptidase ComplexProtein ConformationProtein Interaction Domains and MotifsProto-Oncogene ProteinsGreen Fluorescent ProteinsMembrane ProteinsProteasome Endopeptidase ComplexProto-Oncogene ProteinsPSMD10 protein, human

Identifiers

PMID25137482
PMCPMC4201333
OpenAlexW2167655211

What OpenQuestion holds

Textmetadata
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.