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Single-pass Transmembrane Proteins01:25

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Integral membrane proteins are tightly associated with the cell membrane and play a crucial role in cell communication, signaling, adhesion, and transport of the molecules. Some integral membrane proteins are present only in the membrane monolayer. For example, the enzyme fatty acid amide hydrolase is present in the cytoplasmic side of the membrane monolayer. In contrast, another type of integral membrane protein, also known as a transmembrane protein, spans across the membrane. Transmembrane...
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The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
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Integral membrane proteins are proteins adhered to the lipid bilayer of a cell organelle or membrane. They can be of two types: transmembrane integral proteins that span the lipid bilayer and monotopic proteins that are attached to either side of the membrane but do not pass through it.
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Detergents are used to purify the integral proteins of the membrane. The hydrophobic portion of the detergent can replace membrane phospholipids while solubilizing the membrane proteins. When detergent monomers reach a specific concentration in a solution called critical micelle concentration (CMC), they form micelles. Above CMC, the concentration of the detergent monomers remains in equilibrium with the micelle. The number of detergent monomers present in the CMC varies for each detergent, and...
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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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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
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On filtering false positive transmembrane protein predictions.

Miklos Cserzö1, Frank Eisenhaber, Birgit Eisenhaber

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Summary

A new algorithm, DAS-TMfilter, significantly reduces false positives in transmembrane protein prediction. This method improves accuracy by comparing query sequences against a library of known transmembrane protein segments, enhancing protein analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Transmembrane (TM) protein prediction tools often yield false positives for non-TM proteins.
  • Existing methods struggle to differentiate true TM proteins from sequences with similar characteristics.

Purpose of the Study:

  • To develop a modified algorithm that substantially decreases the false positive error rate in TM region prediction.
  • To enhance the accuracy and reliability of identifying transmembrane proteins.

Main Methods:

  • A modified Dense Alignment Surface (DAS) method, termed DAS-TMfilter, was developed.
  • The algorithm performs a secondary comparison of potential TM regions against a library of documented TM protein segments.
  • A performance threshold (E-value) is used to classify sequences as non-transmembrane if they perform poorly against the TM library.

Main Results:

  • The DAS-TMfilter algorithm maintains high sensitivity for TM segments (approximately 95%).
  • Selectivity is significantly improved to approximately 99% for soluble proteins.
  • The algorithm effectively eliminates many falsely predicted single-pass TM proteins.

Conclusions:

  • DAS-TMfilter offers a substantial reduction in false positive predictions for transmembrane protein identification.
  • This improved accuracy aids in reliable protein analysis and bioinformatics research.
  • The algorithm enhances the distinction between integral membrane proteins and soluble proteins.