Evidence map›Paper›PMID 24914984›Full record

ArticleActa crystallographica. Section D, Biological crystallography2014

Structure solution of DNA-binding proteins and complexes with ARCIMBOLDO libraries.

Kevin Pröpper, Kathrin Meindl, Massimo Sammito, Birger Dittrich, George M Sheldrick, Ehmke Pohl, Isabel Usón

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Ab initio structure solution of a proteolytic fragment using ARCIMBOLDO.Acta crystallographica. Section F, Structural biology communications · 2018
    Article
  7. Article
  8. Article
  9. Review
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

7 authors.

Kevin PröpperUniversity of Göttingen, Germany.
Kathrin MeindlInstituto de Biologia Molecular de Barcelona (IBMB-CSIC), Spain.
Massimo SammitoInstituto de Biologia Molecular de Barcelona (IBMB-CSIC), Spain.
Birger DittrichUniversity of Göttingen, Germany.
George M SheldrickUniversity of Göttingen, Germany.
Ehmke PohlDurham University, England.
Isabel UsónInstituto de Biologia Molecular de Barcelona (IBMB-CSIC), Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-DNA interactions play a major role in all aspects of genetic activity within an organism, such as transcription, packaging, rearrangement, replication and repair. The molecular detail of protein-DNA interactions can be best visualized through crystallography, and structures emphasizing insight into the principles of binding and base-sequence recognition are essential to understanding the subtleties of the underlying mechanisms. An increasing number of high-quality DNA-binding protein structure determinations have been witnessed despite the fact that the crystallographic particularities of nucleic acids tend to pose specific challenges to methods primarily developed for proteins. Crystallographic structure solution of protein-DNA complexes therefore remains a challenging area that is in need of optimized experimental and computational methods. The potential of the structure-solution program ARCIMBOLDO for the solution of protein-DNA complexes has therefore been assessed. The method is based on the combination of locating small, very accurate fragments using the program Phaser and density modification with the program SHELXE. Whereas for typical proteins main-chain α-helices provide the ideal, almost ubiquitous, small fragments to start searches, in the case of DNA complexes the binding motifs and DNA double helix constitute suitable search fragments. The aim of this work is to provide an effective library of search fragments as well as to determine the optimal ARCIMBOLDO strategy for the solution of this class of structures.

Indexed as

DNA-Binding ProteinsProtein ConformationDNA-Binding Proteinsdensity modificationmolecular replacementprotein–DNA complexes and macromolecule structure solutionsstructure-solution pipelines

Identifiers

PMID24914984
PMCPMC4051508

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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.