Evidence map›Paper›PMID 31642127›Full record

ArticleProtein science : a publication of the Protein Society2019

A computational method for design of connected catalytic networks in proteins.

Brian D Weitzner, Yakov Kipnis, A Gerard Daniel, Donald Hilvert, David Baker

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Modeling protein-small molecule conformational ensembles with PLACER.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Modeling protein-small molecule conformational ensembles with PLACER.bioRxiv : the preprint server for biology · 2025
    Article
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  9. Opening of a cryptic pocket in β-lactamase increases penicillinase activity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Artificial Organelles: Towards Adding or Restoring Intracellular Activity.Chembiochem : a European journal of chemical biology · 2021
    Review
  12. Article
  13. Review
  14. A computational method for design of connected catalytic networks in proteins.Protein science : a publication of the Protein Society · 2019
    Article
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

5 authors.

Brian D WeitznerDepartment of Biochemistry, University of Washington, Seattle, Washington.ORCID 0000-0002-1909-0961
Yakov KipnisDepartment of Biochemistry, University of Washington, Seattle, Washington.ORCID 0000-0002-3057-4916
A Gerard DanielDepartment of Biochemistry, University of Washington, Seattle, Washington.ORCID 0000-0002-2363-0561
Donald HilvertLaboratory of Organic Chemistry, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3941-621X
David BakerDepartment of Biochemistry, University of Washington, Seattle, Washington.ORCID 0000-0001-7896-6217

Funding

Howard Hughes Medical InstituteSwiss National Science Foundation
6 · The paper itself

Abstract

Computational design of new active sites has generally proceeded by geometrically defining interactions between the reaction transition state(s) and surrounding side-chain functional groups which maximize transition-state stabilization, and then searching for sites in protein scaffolds where the specified side-chain-transition-state interactions can be realized. A limitation of this approach is that the interactions between the side chains themselves are not constrained. An extensive connected hydrogen bond network involving the catalytic residues was observed in a designed retroaldolase following directed evolution. Such connected networks could increase catalytic activity by preorganizing active site residues in catalytically competent orientations, and enabling concerted interactions between side chains during catalysis, for example, proton shuffling. We developed a method for designing active sites in which the catalytic side chains, in addition to making interactions with the transition state, are also involved in extensive hydrogen bond networks. Because of the added constraint of hydrogen-bond connectivity between the catalytic side chains, to find solutions, a wider range of interactions between these side chains and the transition state must be considered. Our new method starts from a ChemDraw-like two-dimensional representation of the transition state with hydrogen-bond donors, acceptors, and covalent interaction sites indicated, and all placements of side-chain functional groups that make the indicated interactions with the transition state, and are fully connected in a single hydrogen-bond network are systematically enumerated. The RosettaMatch method can then be used to identify realizations of these fully-connected active sites in protein scaffolds. The method generates many fully-connected active site solutions for a set of model reactions that are promising starting points for the design of fully-preorganized enzyme catalysts.

Indexed as

Neural Networks, ComputerBinding SitesBiocatalysisDatabases, ProteinHydrogen BondingModels, MolecularProteinsProteinsbiocatalysiscomputational modelingenzyme designenzyme mechanismprotein design

Identifiers

PMID31642127
PMCPMC6863703

What OpenQuestion holds

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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.