Evidence map›Paper›PMID 19377970›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2009

Positional scanning synthetic combinatorial libraries for substrate profiling.

Eric L Schneider, Charles S Craik

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed.

  1. Article
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  8. Marine drugs · 2022
    Review
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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.

Eric L SchneiderDepartment of Pharmaceutical Chemistry, The University of California, San Francisco, San Francisco, CA, USA.
Charles S Craik

Funding

X-ray Screening and Rapid Structure DeterminationP50GM082250 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STROUD, ROBERT M · 2007 to 2018
$48.8M
Molecular and Cellular Mechanisms in CancerT32CA108462 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GOGA, ANDREI · 2004 to 2024
$10.4M
A Technological Platform for the Identification of Serine Proteases in CancerR01CA128765 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIK, CHARLES SCOTT · 2009 to 2011
$1.1M
NCI NIH HHS CA108462-04NCI NIH HHS R01 CA128765NIGMS NIH HHS GM082250
6 · The paper itself

Abstract

Determining the preferred substrate cleavage sequence of proteases is an important step toward understanding their roles in cancer development and progression. Knowledge of this sequence can aid in the design of new experimental tools for study as well as aid in the identification of endogenous protease substrates and signaling pathways. Various investigators have demonstrated a number of techniques to uncover these sequences, but most can be very time consuming. We have designed and successfully implemented a complete diverse ACC tetrapeptide positional scanning synthetic combinatorial library that allows for the rapid screening of proteases to determine their preferred residues at positions P1-P4. These sequences can be readily verified through kinetic measurements on single peptide substrates and utilized to further knowledge of the role of proteases in cancer.

Indexed as

Peptide LibraryAmino Acid SequenceCoumarinsKineticsPeptide HydrolasesPeptidesSubstrate Specificity7-amino-4-carbamoylmethylcoumarinCoumarinsPeptide HydrolasesPeptide LibraryPeptides

Identifiers

PMID19377970
PMCPMC3793399

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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.