Evidence map›Paper›PMID 32421310›Full record

ArticleACS synthetic biology2020

Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power.

Jasmin Hafner, Homa MohammadiPeyhani, Anastasia Sveshnikova, Alan Scheidegger, Vassily Hatzimanikatis

Abstract read
In one paragraph

Article in ACS synthetic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  11. SelenzymeRF: updated enzyme suggestion software for unbalanced biochemical reactions.Computational and structural biotechnology journal · 2023
    Article
  12. Filling gaps in metabolism using hypothetical reactions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
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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

5 authors.

Jasmin HafnerLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-1474-5869
Homa MohammadiPeyhaniLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland.
Anastasia SveshnikovaLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland.
Alan ScheideggerLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland.
Vassily HatzimanikatisLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland.ORCID 0000-0001-6432-4694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ATLAS of Biochemistry is a repository of both known and novel predicted biochemical reactions between biological compounds listed in the Kyoto Encyclopedia of Genes and Genomes (KEGG). ATLAS was originally compiled based on KEGG 2015, though the number of KEGG reactions has increased by almost 20 percent since then. Here, we present an updated version of ATLAS created from KEGG 2018 using an increased set of generalized reaction rules. Furthermore, we improved the accuracy of the enzymes that are predicted for catalyzing novel reactions. ATLAS now contains ∼150 000 reactions, out of which 96% are novel. In this report, we present detailed statistics on the updated ATLAS and highlight the improvements with regard to the previous version. Most importantly, 107 reactions predicted in the original ATLAS are now known to KEGG, which validates the predictive power of our approach. The updated ATLAS is available at https://lcsb-databases.epfl.ch/atlas.

Indexed as

Databases, FactualEnzymesMetabolic Networks and PathwaysEnzymesbiochemical databaseenzyme predictionenzyme promiscuitymetabolic networksreaction prediction

Identifiers

PMID32421310
PMCPMC7309321

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.