Evidence map›Paper›PMID 30018322›Full record

ArticleNature communications2018

Highly active enzymes by automated combinatorial backbone assembly and sequence design.

Gideon Lapidoth, Olga Khersonsky, Rosalie Lipsh, Orly Dym, Shira Albeck, Shelly Rogotner, Sarel J Fleishman

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Assessing and enhancing foldability in designed proteins.Protein science : a publication of the Protein Society · 2022
    Article
  12. Review
  13. Article
  14. Evolution, folding, and design of TIM barrels and related proteins.Current opinion in structural biology · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Tight and specific lanthanide binding in a de novo TIM barrel with a large internal cavity designed by symmetric domain fusion.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Review
  20. Review
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

7 authors.

Gideon LapidothDepartment of Biomolecular Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Olga KhersonskyDepartment of Biomolecular Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Rosalie LipshDepartment of Biomolecular Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Orly DymIsrael Structural Proteomics Center, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Shira AlbeckIsrael Structural Proteomics Center, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Shelly RogotnerIsrael Structural Proteomics Center, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Sarel J FleishmanDepartment of Biomolecular Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel. sarel@weizmann.ac.il.ORCID http://orcid.org/0000-0003-3177-7560

Funding

European Research Council 335439
6 · The paper itself

Abstract

Automated design of enzymes with wild-type-like catalytic properties has been a long-standing but elusive goal. Here, we present a general, automated method for enzyme design through combinatorial backbone assembly. Starting from a set of homologous yet structurally diverse enzyme structures, the method assembles new backbone combinations and uses Rosetta to optimize the amino acid sequence, while conserving key catalytic residues. We apply this method to two unrelated enzyme families with TIM-barrel folds, glycoside hydrolase 10 (GH10) xylanases and phosphotriesterase-like lactonases (PLLs), designing 43 and 34 proteins, respectively. Twenty-one GH10 and seven PLL designs are active, including designs derived from templates with <25% sequence identity. Moreover, four designs are as active as natural enzymes in these families. Atomic accuracy in a high-activity GH10 design is further confirmed by crystallographic analysis. Thus, combinatorial-backbone assembly and design may be used to generate stable, active, and structurally diverse enzymes with altered selectivity or activity.

Indexed as

Combinatorial Chemistry TechniquesAmino Acid SequenceBinding SitesBiocatalysisCatalytic DomainCloning, MolecularCrystallography, X-RayEscherichia coliGene ExpressionGenetic VectorsGlycoside HydrolasesHumansKineticsModels, MolecularPhosphoric Triester HydrolasesProtein BindingGlycoside HydrolasesPhosphoric Triester HydrolasesRecombinant Proteins

Identifiers

PMID30018322
PMCPMC6050298

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Registered trials

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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.