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Related Concept Videos

Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:13

Protein Organization

Overview
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Protein and Protein Structure02:15

Protein and Protein Structure

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.
A protein's shape is critical to its function. For example, an enzyme can...
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
Protein and Protein Structures02:15

Protein and Protein Structures

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.
A protein's shape is critical to its function. For example, an enzyme can...

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Extended HP model for protein structure prediction.

Tamjidul Hoque1, Madhu Chetty, Abdul Sattar

  • 1Institute for Integrated and Intelligent Systems, Griffith University, Nathan, QLD, Australia. Tamjidul.Hoque@gmail.com

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|January 6, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces the hHPNX model for protein structure prediction, improving upon existing lattice models. The novel hHPNX model, utilizing a Hybrid Genetic Algorithm on a face-centered-cube lattice, demonstrates superior prediction accuracy.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Protein Folding

Background:

  • Lattice-based hydrophobic-hydrophilic (HP) models are used for ab initio protein structure prediction (PSP).
  • Simplified HP models suffer from high degeneracy, potentially leading to inaccurate predictions.
  • Existing models like HPNX and YhHX have limitations requiring further improvement.

Purpose of the Study:

  • To address the degeneracy and conformational deformity issues in HP lattice models for PSP.
  • To develop and validate a novel, improved HP lattice model for more accurate protein structure prediction.
  • To identify and rectify critical errors in existing protein structure prediction models.

Main Methods:

  • Development of the novel hHPNX model by incorporating features from the YhHX model into the HPNX framework.
  • Utilizing a Hybrid Genetic Algorithm (HGA) for comparing the predictive performance of different models.
  • Employing a 3D face-centered-cube (FCC) lattice configuration for enhanced resemblance to real protein structures.

Main Results:

  • The proposed hHPNX model significantly outperforms other existing lattice-based models in protein structure prediction.
  • Identification and resolution of a critical error within the YhHX model.
  • The FCC lattice configuration provides a more realistic representation for protein folding simulations.

Conclusions:

  • The hHPNX model represents a significant advancement in ab initio protein structure prediction using lattice-based approaches.
  • The Hybrid Genetic Algorithm is effective in evaluating and comparing the accuracy of protein structure prediction models.
  • Further refinement of lattice models, considering factors like FCC configuration, is crucial for accurate PSP.