Evidence map›Paper›PMID 38360963›Full record

ArticleNature communications2024

Computational redesign of a hydrolase for nearly complete PET depolymerization at industrially relevant high-solids loading.

Yinglu Cui, Yanchun Chen, Jinyuan Sun, Tong Zhu, Hua Pang, Chunli Li, Wen-Chao Geng, Bian Wu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
18.6field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Yinglu Cui *AIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. cuiyinglu@im.ac.cn.ORCID 0000-0002-2147-5879
Yanchun Chen *AIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Jinyuan Sun *AIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-3456-0332
Tong Zhu *AIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-7857-8564
Hua PangAIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Chunli LiAIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Wen-Chao GengAIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-7974-594X
Bian WuAIM Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. wub@im.ac.cn.ORCID 0000-0002-6524-2049
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotechnological plastic recycling has emerged as a suitable option for addressing the pollution crisis. A major breakthrough in the biodegradation of poly(ethylene terephthalate) (PET) is achieved by using a LCC variant, which permits 90% conversion at an industrial level. Despite the achievements, its applications have been hampered by the remaining 10% of nonbiodegradable PET. Herein, we address current challenges by employing a computational strategy to engineer a hydrolase from the bacterium HR29. The redesigned variant, TurboPETase, outperforms other well-known PET hydrolases. Nearly complete depolymerization is accomplished in 8 h at a solids loading of 200 g kg

Indexed as

HydrolasesPolyethylene TerephthalatesPolymersHydrolasesPolyethylene TerephthalatesPolymers

Identifiers

PMID38360963
PMCPMC10869840
OpenAlexW4391839373

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.