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Automated Design of Diverse Stand-Alone Riboswitches.

Michelle J Wu | Johan O L Andreasson | Wipapat Kladwang | William Greenleaf | Rhiju Das
ACS synthetic biology | 2019

Riboswitches that couple binding of ligands to conformational changes offer sensors and control elements for RNA synthetic biology and medical biotechnology. However, design of these riboswitches has required expert intuition or software specialized to transcription or translation outputs; design has been particularly challenging for applications in which the riboswitch output cannot be amplified by other molecular machinery. We present a fully automated design method called RiboLogic for such "stand-alone" riboswitches and test it via high-throughput experiments on 2875 molecules using RNA-MaP (RNA on a massively parallel array) technology. These molecules consistently modulate their affinity to the MS2 bacteriophage coat protein upon binding of flavin mononucleotide, tryptophan, theophylline, and microRNA miR-208a, achieving activation ratios of up to 20 and significantly better performance than control designs. By encompassing a wide diversity of stand-alone switches and highly quantitative data, the resulting ribologic-solves experimental data set provides a rich resource for further improvement of riboswitch models and design methods.

Pubmed ID: 31298841

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: F31 GM125151
  • Agency: NHGRI NIH HHS, United States
    Id: P50 HG007735
  • Agency: Wellcome Trust, United Kingdom
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM111990
  • Agency: NLM NIH HHS, United States
    Id: T15 LM007033
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM100953

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HCLUST (tool)

RRID:SCR_009154

Software application that is a simple clustering method that can be used to rapidly identify a set of tag SNP's based upon genotype data (entry from Genetic Analysis Software)

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