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Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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Related Experiment Video

Updated: May 7, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Optimizing scoring function of protein-nucleic acid interactions with both affinity and specificity.

Zhiqiang Yan1, Jin Wang

  • 1Department of Chemistry & Physics, State University of New York at Stony Brook, Stony Brook, New York, United States of America ; State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.

Plos One
|October 8, 2013
PubMed
Summary
This summary is machine-generated.

We developed SPA-PN, a novel scoring function for protein-nucleic acid interactions. It accurately predicts binding affinity and native conformation by integrating specificity and affinity, advancing biomolecular recognition studies.

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Area of Science:

  • Molecular Biology
  • Structural Biology
  • Computational Biology

Background:

  • Protein-nucleic acid interactions regulate gene expression, making their structural determination crucial.
  • Current computational methods for predicting protein-nucleic acid structures, especially protein-RNA, lag due to inadequate scoring functions.
  • Accurate scoring functions are needed to quantify protein-nucleic acid interactions for reliable structure prediction.

Purpose of the Study:

  • To develop an accurate scoring function for protein-nucleic acid interactions.
  • To improve the prediction of protein-nucleic acid structures and interactions using computational approaches.
  • To address limitations in current scoring functions by incorporating both specificity and affinity.

Main Methods:

  • Developed SPA-PN (SPecificity and Affinity of the Protein-Nucleic acid interactions) scoring function.
  • Incorporated both binding affinity and a novel concept of intrinsic specificity into the optimization strategy.
  • Validated SPA-PN's performance against existing scoring functions.

Main Results:

  • SPA-PN demonstrates high accuracy in predicting binding affinity for protein-nucleic acid interactions.
  • The scoring function effectively identifies the native conformation of protein-nucleic acid complexes.
  • SPA-PN outperforms other scoring functions in performance tests.

Conclusions:

  • SPA-PN provides a reliable and accurate method for quantifying protein-nucleic acid interactions.
  • The scoring function can be widely applied to predict protein-nucleic acid structures and their binding characteristics.
  • This advancement facilitates a deeper understanding of gene expression regulation at a molecular level.