Evidence map›Paper›PMID 38647756›Full record

ArticleBioresources and bioprocessing2022

A novel thermophilic chitinase directly mined from the marine metagenome using the deep learning tool Preoptem.

Yan Zhang, Feifei Guan, Guoshun Xu, Xiaoqing Liu, Yuhong Zhang, Jilu Sun, Bin Yao, Huoqing Huang, Ningfeng Wu, Jian Tian

Open access · diamondAbstract read
In one paragraph

Article in Bioresources and bioprocessing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

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  14. Learning deep representations of enzyme thermal adaptation.Protein science : a publication of the Protein Society · 2022
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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

10 authors at 3 institutions in 1 country.

Yan Zhang *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Feifei Guan *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Guoshun XuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaoqing LiuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yuhong ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jilu SunCollege of Food Science and Technology, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Bin YaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Huoqing HuangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. huanghuoqing@caas.cn.
Ningfeng WuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jian TianBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. tianjian@caas.cn.ORCID http://orcid.org/0000-0002-9997-6518
Chinese Academy of Agricultural Sciences · CNHebei Agricultural University · CNAgricultural Information Institute · CN

Funding

the Central Public-interest Scientific Institution Basal Research Fund 1610392020001the Central Public-interest Scientific Institution Basal Research Fund 1610392021008the Central Public-interest Scientific Institution Basal Research Fund Y2019XK19the Key Research and Development Plan Project of Hebei Province 19273201Dthe National Key R&D Program of China 2021YFC2100300
6 · The paper itself

Abstract

Chitin is abundant in nature and its degradation products are highly valuable for numerous applications. Thermophilic chitinases are increasingly appreciated for their capacity to biodegrade chitin at high temperatures and prolonged enzyme stability. Here, using deep learning approaches, we developed a prediction tool, Preoptem, to screen thermophilic proteins. A novel thermophilic chitinase, Chi304, was mined directly from the marine metagenome. Chi304 showed maximum activity at 85 ℃, its T

Indexed as

ChitinaseChitooligosaccharidesDeep learningThermal stability

Identifiers

PMID38647756
PMCPMC10991277
OpenAlexW4280596900

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.