Evidence map›Paper›PMID 27508294›Full record

ArticlePloS one2016

Directed Chemical Evolution with an Outsized Genetic Code.

Casey J Krusemark, Nicolas P Tilmans, Patrick O Brown, Pehr B Harbury

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Casey J KrusemarkDepartment of Biochemistry, Stanford University, Stanford, California, United States of America.
Nicolas P TilmansDepartment of Biochemistry, Stanford University, Stanford, California, United States of America.
Patrick O BrownDepartment of Biochemistry, Stanford University, Stanford, California, United States of America.
Pehr B HarburyDepartment of Biochemistry, Stanford University, Stanford, California, United States of America.

Funding

Progenitor Cell Biology Consortium Administrative Coordinating CenterU01HL099997 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI TERRIN, MICHAEL L · 2009 to 2015
$29.9M
Interrogation of individual cells to identify progenitor cells and their nichesU01HL099995 · NHLBI · STANFORD UNIVERSITY · PI KRASNOW, MARK A · 2009 to 2015
$7.0M
NIH Director's Pioneer Award (RMI)DP1OD000429 · OD · STANFORD UNIVERSITY · PI HARBURY, PEHR A · 2005 to 2009
$3.8M
NHLBI NIH HHS U01 HL099995NHLBI NIH HHS U01 HL099997NIH HHS DP1 OD000429
6 · The paper itself

Abstract

The first demonstration that macromolecules could be evolved in a test tube was reported twenty-five years ago. That breakthrough meant that billions of years of chance discovery and refinement could be compressed into a few weeks, and provided a powerful tool that now dominates all aspects of protein engineering. A challenge has been to extend this scientific advance into synthetic chemical space: to enable the directed evolution of abiotic molecules. The problem has been tackled in many ways. These include expanding the natural genetic code to include unnatural amino acids, engineering polyketide and polypeptide synthases to produce novel products, and tagging combinatorial chemistry libraries with DNA. Importantly, there is still no small-molecule analog of directed protein evolution, i.e. a substantiated approach for optimizing complex (≥ 10^9 diversity) populations of synthetic small molecules over successive generations. We present a key advance towards this goal: a tool for genetically-programmed synthesis of small-molecule libraries from large chemical alphabets. The approach accommodates alphabets that are one to two orders of magnitude larger than any in Nature, and facilitates evolution within the chemical spaces they create. This is critical for small molecules, which are built up from numerous and highly varied chemical fragments. We report a proof-of-concept chemical evolution experiment utilizing an outsized genetic code, and demonstrate that fitness traits can be passed from an initial small-molecule population through to the great-grandchildren of that population. The results establish the practical feasibility of engineering synthetic small molecules through accelerated evolution.

Indexed as

Evolution, ChemicalDNAGene LibraryGenetic CodeKineticsModels, TheoreticalPeptide LibraryPeptidesProtein EngineeringSmall Molecule LibrariesSubstrate SpecificityDNAPeptide LibraryPeptidesSmall Molecule Libraries

Identifiers

PMID27508294
PMCPMC4980042

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.