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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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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

Efficient combination of multiple word models for improved sequence comparison.

Xiaoqiu Huang1, Liang Ye, Hui-Hsien Chou

  • 1Department of Computer Science, Iowa State University, Ames, IA 50011-1040, USA. xqhuang@cs.iastate.edu

Bioinformatics (Oxford, England)
|May 1, 2004
PubMed
Summary

This study introduces DDS2, an improved DNA sequence comparison method that finds more homologous regions by using multiple word models. This enhances the discovery of weak similarities in large genomes.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Efficient and sensitive sequence comparison is crucial for identifying homologous regions with weak similarity across large genomes.
  • Existing methods for sequence comparison have limitations in detecting subtle similarities.

Purpose of the Study:

  • To describe an improved method for finding similar regions between DNA sequences.
  • To enhance the detection of homologous regions, particularly those with weak similarity.

Main Methods:

  • Developed a generalized method for sequence comparison by locating word matches under multiple word models.
  • Extended word matches into high-scoring segment pairs (HSPs).
  • Implemented the method as a computer program named DDS2.

Main Results:

  • DDS2 successfully identifies similar regions between DNA sequences.
  • Experimental results demonstrate that DDS2, using multiple word models, finds more high-scoring segment pairs (HSPs) compared to using a single word model.
  • The program DDS2 is available for academic use.

Conclusions:

  • The DDS2 method offers an improvement over existing sequence comparison techniques.
  • Utilizing multiple word models enhances the sensitivity and efficiency of detecting homologous DNA regions.
  • DDS2 provides a valuable tool for genomic research.