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Related Concept Videos

Leaky Scanning02:28

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
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When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

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Published on: July 25, 2013

Optimizing substitution matrix choice and gap parameters for sequence alignment.

Robert C Edgar1

  • 1bob@drive5.com

BMC Bioinformatics
|December 4, 2009
PubMed
Summary
This summary is machine-generated.

Optimizing gap penalties and substitution matrices using the Parameter Optimization Procedure (POP) significantly improves protein alignment accuracy. VTML200 matrix and POP offer superior performance over traditional methods like PAM and BLOSUM for global alignments.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Sequence Analysis

Background:

  • Computing optimal gap penalties for sequence alignment remains challenging.
  • The effectiveness of different substitution matrices for maximizing alignment accuracy is not well understood.

Purpose of the Study:

  • Introduce a new parameter optimization procedure (POP) for optimizing gap penalties and selecting substitution matrices.
  • Evaluate POP's performance in pair-wise global protein alignments.

Main Methods:

  • Developed and applied the Parameter Optimization Procedure (POP).
  • Compared POP against the Kim and Kececioglu method using BALIBASE benchmarks.
  • Assessed various substitution matrices (VTML, BLOSUM, PAM) for global pair-wise alignment accuracy.

Main Results:

  • POP achieved 0.2%–1.3% higher accuracies than the comparison method.
  • The VTML matrix series, particularly VTML200, demonstrated superior performance.
  • BLOSUM and PAM matrices showed inferior results compared to VTML.
  • Using VTML200 improved CLUSTALW accuracy by 8% on BALIBASE and 5% on PREFAB.

Conclusions:

  • The hypothesis that low-identity matrices improve distant sequence alignment is false for common matrices.
  • POP provides a robust method for optimizing alignment parameters.
  • VTML200 is recommended for accurate global protein alignments.