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RPpocket: An RNA-Protein Intuitive Database with RNA Pocket Topology Resources.
Yang, Rui; Liu, Haoquan; Yang, Liu; Zhou, Ting; Li, Xinyao; Zhao, Yunjie.
  • Yang R; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Liu H; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Yang L; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Zhou T; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Li X; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Zhao Y; Department of Physics, Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
Int J Mol Sci ; 23(13)2022 Jun 21.
Article in English | MEDLINE | ID: covidwho-1934117
ABSTRACT
RNA-protein complexes regulate a variety of biological functions. Thus, it is essential to explore and visualize RNA-protein structural interaction features, especially pocket interactions. In this work, we develop an easy-to-use bioinformatics resource RPpocket. This database provides RNA-protein complex interactions based on sequence, secondary structure, and pocket topology analysis. We extracted 793 pockets from 74 non-redundant RNA-protein structures. Then, we calculated the binding- and non-binding pocket topological properties and analyzed the binding mechanism of the RNA-protein complex. The results showed that the binding pockets were more extended than the non-binding pockets. We also found that long-range forces were the main interaction for RNA-protein recognition, while short-range forces strengthened and optimized the binding. RPpocket could facilitate RNA-protein engineering for biological or medical applications.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA / Proteins Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23136903

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA / Proteins Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23136903