ArticleActa crystallographica. Section D, Biological crystallography2014
Structure solution of DNA-binding proteins and complexes with ARCIMBOLDO libraries.
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.
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Who cites it
9 citing papers in PubMed.
- Fragment-based determination of a proteinase K structure from MicroED data using ARCIMBOLDO_SHREDDER.Acta crystallographica. Section D, Structural biology · 2020Article
- ALEPH: a network-oriented approach for the generation of fragment-based libraries and for structure interpretation.Acta crystallographica. Section D, Structural biology · 2020Article
- How far are we from automatic crystal structure solution via molecular-replacement techniques?Acta crystallographica. Section D, Structural biology · 2020Article
- DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.Journal of computer-aided molecular design · 2019Article
- DNA-protein interaction: identification, prediction and data analysis.Molecular biology reports · 2019Review
- Ab initio structure solution of a proteolytic fragment using ARCIMBOLDO.Acta crystallographica. Section F, Structural biology communications · 2018Article
- The Effectors and Sensory Sites of Formaldehyde-responsive Regulator FrmR and Metal-sensing Variant.The Journal of biological chemistry · 2016Article
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7 authors.
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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.
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