Evidence map›Paper›PMID 35685792›Full record

ArticleChemical science2022

Similarity based enzymatic retrosynthesis.

Karthik Sankaranarayanan, Esther Heid, Connor W Coley, Deeptak Verma, William H Green, Klavs F Jensen

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2022. 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
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Robots and Minimal, Physics-Informed Features: A Hybrid Framework for Enzyme Catalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

6 authors at 3 institutions in 2 countries.

Karthik SankaranarayananDepartment of Chemical Engineering, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA kfjensen@mit.edu.ORCID https://orcid.org/0000-0001-7306-6746
Esther HeidDepartment of Chemical Engineering, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA kfjensen@mit.edu.ORCID https://orcid.org/0000-0002-8404-6596
Connor W ColeyDepartment of Chemical Engineering, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA kfjensen@mit.edu.ORCID https://orcid.org/0000-0002-8271-8723
Deeptak VermaComputational and Structural Chemistry, Discovery Chemistry, Merck & Co., Inc. Kenilworth NJ 07033 USA.ORCID https://orcid.org/0000-0003-0740-0624
William H GreenDepartment of Chemical Engineering, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA kfjensen@mit.edu.ORCID https://orcid.org/0000-0003-2603-9694
Klavs F JensenDepartment of Chemical Engineering, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA kfjensen@mit.edu.ORCID https://orcid.org/0000-0001-7192-580X
Massachusetts Institute of Technology · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USTU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymes synthesize complex natural products effortlessly by catalyzing chemo-, regio-, and enantio-selective transformations. Further, biocatalytic processes are increasingly replacing conventional organic synthesis steps because they use mild solvents, avoid the use of metals, and reduce overall non-biodegradable waste. Here, we present a single-step retrosynthesis search algorithm to facilitate enzymatic synthesis of natural product analogs. First, we develop a tool, RDEnzyme, capable of extracting and applying stereochemically consistent enzymatic reaction templates,

Identifiers

PMID35685792
PMCPMC9132021
OpenAlexW4226156987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.