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Protein and Protein Structure02:15

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...
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Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis
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Hydrophobic residues can identify native protein structures.

Mehdi Mirzaie1,2

  • 1Department of Applied Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran, Iran.

Proteins
|February 1, 2018
PubMed
Summary

Protein structure evaluation relies on accurate scoring functions. A new Hydrophobic Reduced Model (HRM) shows hydrophobic amino acid interactions are key for protein fold recognition, matching full models.

Keywords:
decoy sethydrophobic amino acidknowledge-based potentialprotein native structure

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Area of Science:

  • Structural biology
  • Computational biophysics
  • Bioinformatics

Background:

  • Accurate protein structure evaluation requires reliable potential functions.
  • Existing knowledge-based potential functions' amino acid type impact is understudied.
  • Nonlocal interactions are crucial for discriminating native protein structures.

Purpose of the Study:

  • To investigate the impact of hydrophobic amino acids on protein fold recognition.
  • To develop and evaluate a Hydrophobic Reduced Model (HRM) for protein structure analysis.

Main Methods:

  • Designed a Hydrophobic Reduced Model (HRM) focusing on seven hydrophobic amino acids (L, V, F, I, A, W, Y).
  • Evaluated HRM using metrics: native identification count, Z-score, minimum score RMSD, and energy-model quality correlation.
  • Compared HRM performance against a 20-amino acid model on eleven decoy sets.

Main Results:

  • Nonlocal interactions among hydrophobic amino acids are sufficient for accurate protein fold recognition.
  • HRM performance closely approximates the full 20-amino acid model in native structure discrimination.
  • Hydrophobic interactions significantly contribute to the effectiveness of knowledge-based potential functions.

Conclusions:

  • Hydrophobic interactions are the primary drivers of knowledge-based potential functions in protein fold recognition.
  • Suggests integrating HRM with specialized non-hydrophobic interaction scoring for enhanced performance.
  • HRM offers a simplified yet powerful approach for protein fold recognition.