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Protein Science
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Protein Science
Article . 2013 . Peer-reviewed
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Protein Science
Article . 2014
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The dataset for protein–RNA binding affinity

Authors: Xiufeng, Yang; Haotian, Li; Yangyu, Huang; Shiyong, Liu;

The dataset for protein–RNA binding affinity

Abstract

AbstractWe have developed a non‐redundant protein–RNA binding benchmark dataset derived from the available protein–RNA structures in the Protein Database Bank. It consists of 73 complexes with measured binding affinity. The experimental conditions (pH and temperature) for binding affinity measurements are also listed in our dataset. This binding affinity dataset can be used to compare and develop protein–RNA scoring functions. The predicted binding free energy of the 73 complexes from three available scoring functions for protein–RNA docking has a low correlation with the binding Gibbs free energy calculated from Kd. © 2013 The Protein Society

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Keywords

Proteomics, Data Collection, Computational Biology, Proteins, RNA-Binding Proteins, Crystallography, X-Ray, Molecular Docking Simulation, RNA, Thermodynamics, Computer Simulation, Databases, Protein, Protein Binding

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Average
bronze