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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Aptamer Bioinformatics.

Andrew B Kinghorn1, Lewis A Fraser1, Shaolin Lang1

  • 1School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR China

International Journal of Molecular Sciences
|December 1, 2017
PubMed
Summary
This summary is machine-generated.

Bioinformatics enhances aptamer development by simulating selection, designing aptamer libraries, and optimizing sequences. These computational methods improve the efficiency and effectiveness of aptamer discovery and characterization.

Keywords:
HTSaptamerfragment based designin silico selectionmolecular dynamicssimulation

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Molecular Biology

Background:

  • Aptamers are specific, high-affinity nucleic acid binders.
  • Systematic Evolution of Ligands by Exponential Enrichment (SELEX) is the standard isolation method.
  • Aptamers' genetic nature allows for computational improvements.

Purpose of the Study:

  • To review advancements in aptamer bioinformatics.
  • To highlight computational approaches for aptamer selection and design.

Main Methods:

  • Simulation of aptamer selection processes.
  • Fragment-based aptamer design strategies.
  • Library patterning and high-throughput sequencing (HTS) data analysis.
  • In silico aptamer optimization techniques.

Main Results:

  • Bioinformatics significantly refines aptamer selection efficiency.
  • Computational tools enable novel aptamer library designs.
  • HTS data analysis accelerates lead aptamer identification.
  • In silico optimization enhances aptamer performance.

Conclusions:

  • Bioinformatics is crucial for advancing aptamer technology.
  • Computational approaches streamline aptamer discovery and development.
  • Future aptamer research will increasingly rely on bioinformatics tools.