Evidence map›Paper›PMID 31235979›Full record

ArticleAIChE journal. American Institute of Chemical Engineers2018

D

Ryan S Nett, Xin Guan, Kevin Smith, Ann Marie Faust, Elizabeth S Sattely, Curt R Fischer

Abstract read
In one paragraph

Article in AIChE journal. American Institute of Chemical Engineers, 2018. 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. Ancient origins of alkaloid biosynthesis in medicinal clubmosses.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Mass spectrometry imaging ofFrontiers in plant science · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. A metabolic regulon reveals early and late acting enzymes in neuroactive Lycopodium alkaloid biosynthesis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

6 authors.

Ryan S Nett *Dept. of Chemical Engineering, Stanford University, Stanford, CA 94305.
Xin Guan *Dept. of Chemical Engineering, Stanford University, Stanford, CA 94305.
Kevin Smith *Dept. of Chemical Engineering, Stanford University, Stanford, CA 94305.
Ann Marie FaustNovartis Institutes for BioMedical Research, Cambridge, MA 02139.
Elizabeth S SattelyDept. of Chemical Engineering, Stanford University, Stanford, CA 94305.
Curt R FischerChemistry, Engineering and Medicine for Human Health, Stanford University, Stanford CA 94305.

Funding

An integrated pipeline for accelerated plant natural product discoveryU01GM110699 · NIGMS · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2015 to 2019
$4.5M
Liberation of Plant Nutrients by the Gut MicrobiotaDP2AT008321 · NCCIH · STANFORD UNIVERSITY · PI SATTELY, ELIZABETH SUSAN · 2013 to 2013
$2.4M
Discovery and Engineering of Plant Natural Product PathwaysR01GM121527 · NIGMS · STANFORD UNIVERSITY · PI SATTELY, ELIZABETH SUSAN · 2017 to 2025
$2.3M
NCCIH NIH HHS DP2 AT008321NIGMS NIH HHS R01 GM121527NIGMS NIH HHS U01 GM110699
6 · The paper itself

Abstract

Plant natural products have served as a prominent source of medicines throughout human history, and are still used today as clinically-approved pharmaceuticals. However, many medicinal plants that produce useful compounds are slow-growing or recalcitrant to cultivation, making it difficult to investigate the underlying genetic/enzymatic machinery responsible for biosynthesis. To better understand the metabolism of bioactive natural products in slow-growing medicinal plants, we used D

Identifiers

PMID31235979
PMCPMC6590064

What OpenQuestion holds

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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.