Evidence map›Paper›PMID 17972284›Full record

ArticleProteins2008

Identification of GATC- and CCGG-recognizing Type II REases and their putative specificity-determining positions using Scan2S--a novel motif scan algorithm with optional secondary structure constraints.

Masha Y Niv, Lucy Skrabanek, Richard J Roberts, Harold A Scheraga, Harel Weinstein

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Masha Y NivDepartment of Physiology and Biophysics, Weill Medical College of Cornell University, 1300 York Ave., New York, New York 10021, USA. niv@agri.huji.ac.il
Lucy Skrabanek
Richard J Roberts
Harold A Scheraga
Harel Weinstein
Cornell University · USHebrew University of Jerusalem · ILNew England Biolabs (United States) · US

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS GM-14312NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

Restriction endonucleases (REases) are DNA-cleaving enzymes that have become indispensable tools in molecular biology. Type II REases are highly divergent in sequence despite their common structural core, function and, in some cases, common specificities towards DNA sequences. This makes it difficult to identify and classify them functionally based on sequence, and has hampered the efforts of specificity-engineering. Here, we define novel REase sequence motifs, which extend beyond the PD-(D/E)XK hallmark, and incorporate secondary structure information. The automated search using these motifs is carried out with a newly developed fast regular expression matching algorithm that accommodates long patterns with optional secondary structure constraints. Using this new tool, named Scan2S, motifs derived from REases with specificity towards GATC- and CGGG-containing DNA sequences successfully identify REases of the same specificity. Notably, some of these sequences are not identified by standard sequence detection tools. The new motifs highlight potential specificity-determining positions that do not fully overlap for the GATC- and the CCGG-recognizing REases and are candidates for specificity re-engineering.

Indexed as

AlgorithmsAmino Acid MotifsBase SequenceChemical PhenomenaChemistry, PhysicalDatabases, ProteinDeoxyribonucleases, Type II Site-SpecificProtein Structure, SecondarySequence AlignmentSoftwareSubstrate SpecificityDeoxyribonucleases, Type II Site-Specific

Identifiers

PMID17972284
PMCPMC2465807
OpenAlexW2020046102

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.