Literature DB >> 12626729

Analyzing partially randomized nucleic acid pools: straight dope on doping.

Rob Knight1, Michael Yarus.   

Abstract

Partially randomized (doped) pools are important for optimizing activities initially isolated by selection-amplification or SELEX, and for locating nucleotides critical for function. Here we present a method for calculating the number of unique sequences in a pool, and the expected copy number of each unique sequence with a specified number of changes from the original sequence. Surprisingly, small differences in doping can have large consequences for the number of copies of sequences with certain numbers of changes from the original sequence. We demonstrate the effects of pool size, percentage doping, length of the random region and taking aliquots from the original pool on the exploration of sequence space in a doped reselection experiment. A web form is provided for customized calculations.

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Year:  2003        PMID: 12626729      PMCID: PMC152884          DOI: 10.1093/nar/gng030

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


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Authors:  P J Unrau; D P Bartel
Journal:  Nature       Date:  1998-09-17       Impact factor: 49.962

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  16 in total

1.  Accelerating Post-SELEX Aptamer Engineering Using Exonuclease Digestion.

Authors:  Juan Canoura; Haixiang Yu; Obtin Alkhamis; Daniel Roncancio; Rifat Farhana; Yi Xiao
Journal:  J Am Chem Soc       Date:  2020-12-30       Impact factor: 15.419

2.  Enhanced functional potential of nucleic acid aptamer libraries patterned to increase secondary structure.

Authors:  Karen M Ruff; Thomas M Snyder; David R Liu
Journal:  J Am Chem Soc       Date:  2010-07-14       Impact factor: 15.419

3.  Bioinformatic analysis of the contribution of primer sequences to aptamer structures.

Authors:  Matthew C Cowperthwaite; Andrew D Ellington
Journal:  J Mol Evol       Date:  2008-07-02       Impact factor: 2.395

4.  Measuring the activity of protein variants on a large scale using deep mutational scanning.

Authors:  Douglas M Fowler; Jason J Stephany; Stanley Fields
Journal:  Nat Protoc       Date:  2014-08-28       Impact factor: 13.491

5.  Structure-function correlations derived from faster variants of a RNA ligase deoxyribozyme.

Authors:  Tracey K Prior; Daniel R Semlow; Amber Flynn-Charlebois; Imran Rashid; Scott K Silverman
Journal:  Nucleic Acids Res       Date:  2004-02-11       Impact factor: 16.971

6.  Evolution of class-specific peptides targeting a hot spot of the Galphas subunit.

Authors:  Ryan J Austin; William W Ja; Richard W Roberts
Journal:  J Mol Biol       Date:  2008-01-18       Impact factor: 5.469

7.  Engineering A-kinase anchoring protein (AKAP)-selective regulatory subunits of protein kinase A (PKA) through structure-based phage selection.

Authors:  Matthew G Gold; Douglas M Fowler; Christopher K Means; Catherine T Pawson; Jason J Stephany; Lorene K Langeberg; Stanley Fields; John D Scott
Journal:  J Biol Chem       Date:  2013-04-26       Impact factor: 5.157

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Authors:  Gillian V Kupakuwana; James E Crill; Mark P McPike; Philip N Borer
Journal:  PLoS One       Date:  2011-05-19       Impact factor: 3.240

Review 9.  Directing evolution of novel ligands by mRNA display.

Authors:  Golnaz Kamalinia; Brian J Grindel; Terry T Takahashi; Steven W Millward; Richard W Roberts
Journal:  Chem Soc Rev       Date:  2021-06-24       Impact factor: 60.615

10.  High-resolution mapping of protein sequence-function relationships.

Authors:  Douglas M Fowler; Carlos L Araya; Sarel J Fleishman; Elizabeth H Kellogg; Jason J Stephany; David Baker; Stanley Fields
Journal:  Nat Methods       Date:  2010-08-15       Impact factor: 28.547

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