Literature DB >> 19625306

Analysis of a complete DNA-protein affinity landscape.

William Rowe1, Mark Platt, David C Wedge, Philip J Day, Douglas B Kell, Joshua Knowles.   

Abstract

Properties of biological fitness landscapes are of interest to a wide sector of the life sciences, from ecology to genetics to synthetic biology. For biomolecular fitness landscapes, the information we currently possess comes primarily from two sources: sparse samples obtained from directed evolution experiments; and more fine-grained but less authentic information from 'in silico' models (such as NK-landscapes). Here we present the entire protein-binding profile of all variants of a nucleic acid oligomer 10 bases in length, which we have obtained experimentally by a series of highly parallel on-chip assays. The resulting complete landscape of sequence-binding pairs, comprising more than one million binding measurements in duplicate, has been analysed statistically using a number of metrics commonly applied to synthetic landscapes. These metrics show that the landscape is rugged, with many local optima, and that this arises from a combination of experimental variation and the natural structural properties of the oligonucleotides.

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Year:  2009        PMID: 19625306      PMCID: PMC2842790          DOI: 10.1098/rsif.2009.0193

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  17 in total

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  29 in total

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Journal:  IEEE Trans Evol Comput       Date:  2015-07-09       Impact factor: 11.554

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6.  Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences.

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Review 7.  Specificity and nonspecificity in RNA-protein interactions.

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8.  Quantifying the similarity of monotonic trajectories in rough and smooth fitness landscapes.

Authors:  Alexander E Lobkovsky; Yuri I Wolf; Eugene V Koonin
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Review 10.  The causes of evolvability and their evolution.

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Journal:  Nat Rev Genet       Date:  2019-01       Impact factor: 53.242

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