Related Experiment Video
Updated: Aug 22, 2026

An Assay for Quantifying Protein-RNA Binding in Bacteria
Published on: June 12, 2019
Structural similarity of DNA-binding domains of bacteriophage repressors and the globin core
S Subbiah1, D V Laurents, M Levitt
1Beckman Laboratories for Structural Biology, Departments of Cell Biology and Biochemistry, Stanford University School of Medicine, Stanford, California 94305-5307, USA.
Background:
In recent years, the determination of large numbers of protein structures has created a need for automatic and objective methods for the comparison of structures or conformations. Many protein structures show similarities of conformation that are undetectable by comparing their sequences. Comparison of structures can reveal similarities between proteins thought to be unrelated, providing new insight into the interrelationships of sequence, structure and function.
Results:
Using a new tool that we have developed to perform rapid structural alignment, we present the highlights of an exhaustive comparison of all pairs of protein structures in the Brookhaven protein database. Notably, we find that the DNA-binding domain of the bacteriophage repressor family is almost completely embedded in the larger eight-helix fold of the globin family of proteins. The significant match of specific residues is correlated with functional, structural and evolutionary information.
Conclusion:
Our method can help to identify structurally similar folds rapidly and with high-sensitivity, providing a powerful tool for analyzing the ever-increasing number of protein structures being elucidated.
Related Concept Videos
DNA Bacteriophages
Cooperative Binding of Transcription Regulators
Cooperative Binding of Transcription Regulators
Prokaryotic Transcriptional Activators and Repressors
Transcription of prokaryotic...
Prokaryotic Transcriptional Activators and Repressors
Transcription of prokaryotic...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

