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Mitochondrial Protein Sorting01:39

Mitochondrial Protein Sorting

Mitochondria are double-membrane organelles of the eukaryotes involved in cellular metabolism, signaling, ATP synthesis, and programmed cell death.  Each of these processes requires specific proteins and enzymes that must be correctly sorted to the right mitochondrial subcompartment for the proper functioning of the organelle.
Most of these mitochondrial proteins are encoded by the nucleus and imported to the mitochondria as unfolded or loosely folded precursors. Mitochondrial precursors...
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Mitochondrial precursors are partially unfolded or loosely folded polypeptide chains. Newly synthesized precursors are inhibited from spontaneously folding into their native conformation by the cytosolic chaperones, heat shock proteins 70 (Hsp70), and mitochondrial import stimulation factors (MSFs). Precursors bound to MSFs are guided to the TOM70-TOM37 receptors, while precursors bound to Hsp70  chaperones are targetted to TOM20-TOM22 receptor complexes.
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Animal Mitochondrial Genetics

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A eukaryotic cell can have up to three different types of genetic systems: nuclear, mitochondrial, and chloroplast. During evolution, organelles have exported many genes to the nucleus; this transfer is still ongoing in some plant species. Approximately 18% of the Arabidopsis thaliana nuclear genome is thought to be derived from the chloroplast’s cyanobacterial ancestor, and around 75% of the yeast genome derived from the mitochondria’s bacterial ancestor. This export has occurred irrespective...
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Identification of Functional Protein Regions Through Chimeric Protein Construction
11:39

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Published on: January 8, 2019

Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization.

Loris Nanni1, Alessandra Lumini

  • 1DEIS, IEIIT-CNR, Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy. loris.nanni@unibo.it

Amino Acids
|January 5, 2008
PubMed
Summary
This summary is machine-generated.

Accurately predicting protein submitochondrial localization is crucial for understanding protein function. This study introduces GP-Loc, a novel method using genetic programming and Chou's pseudo-amino acid composition for enhanced prediction accuracy.

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Area of Science:

  • Mitochondrial biology
  • Proteomics
  • Bioinformatics

Background:

  • Accurate prediction of protein localization within mitochondria is essential for elucidating protein function.
  • Understanding subcellular localization aids in deciphering complex cellular processes and disease mechanisms.

Purpose of the Study:

  • To develop a computational method for predicting protein submitochondrial localization.
  • To improve upon existing prediction accuracies using novel feature extraction and machine learning techniques.

Main Methods:

  • Feature extraction based on Chou's pseudo-amino acid composition, combined with amino acid indices and substitution matrices.
  • Feature selection and creation using genetic programming to generate 15 "artificial" features.
  • Training a radial basis function support vector machine (GP-Loc) and a linear support vector machine (ALL-Loc).

Main Results:

  • GP-Loc achieved an overall prediction accuracy of 89% using jackknife cross-validation, outperforming the literature benchmark of 85.2%.
  • The ALL-Loc method, using all original features, achieved an 83.9% prediction accuracy.
  • The GP-Loc method demonstrates superior performance in predicting protein localization within mitochondria.

Conclusions:

  • The proposed GP-Loc method offers a significant advancement in predicting protein submitochondrial localization.
  • The feature extraction and selection strategy based on genetic programming is effective for this bioinformatics task.
  • Accurate localization prediction is vital for functional genomics and understanding mitochondrial biology.