Evidence map›Paper›PMID 36569428›Full record

ArticleChem catalysis2022

Multiscale simulation-guided design of enzyme bioconjugates with enhanced catalysis.

Xiao Hong, Timothy Cholko, Chia-En A Chang, Ian Wheeldon

Open access · hybridAbstract read
In one paragraph

Article in Chem catalysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  5. 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

4 authors at 1 institution in 1 country.

Xiao HongDepartment of Biochemistry, University of California-Riverside, Riverside, CA, 92521.
Timothy CholkoDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521.
Chia-En A ChangDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521.
Ian WheeldonDepartment of Chemical and Environmental Engineering, University of California-Riverside, Riverside, CA, 92521.
University of California, Riverside · US

Funding

Next-Generation GPU Computing Resource for Simulating Ligand-Protein Binding Kinetics/MechanismR01GM109045 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHANG, CHIA-EN · 2014 to 2023
$2.8M
NIGMS NIH HHS R01 GM109045
6 · The paper itself

Abstract

Biopolymer-scaffold modification is widely used to enhance enzyme catalysis. A central challenge is predicting the effects of scaffold position on enzyme properties. Here, we use a computational-experimental approach to develop a model for the effects of DNA scaffold position on enzyme kinetics. Using phosphotriesterase modified with a 20bp dsDNA, we demonstrate that conjugation position is as important as the scaffold's chemistry and structure. Multiscale simulations predict the effective substrate concentration increases close to the scaffold, which has μM-strength binding to the substrate. Kinetic analysis shows that the effective concentration that the scaffold provides is best utilized when positioned next to, but not blocking, the active site. At ~5Å distance between scaffold and active site a 7-fold increase in

Identifiers

PMID36569428
PMCPMC9784400
OpenAlexW4303431630

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.