Evidence map›Paper›PMID 42038708›Full record

ReviewBiodesign research2025

Protein design drives synthetic biology research of plant natural products.

Xiaopeng Zhang, Yinying Yao, Ye Wang, Yongshuo Ma, Yi Shang

Abstract readReview
In one paragraph

Review in Biodesign research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaopeng ZhangYunnan Key Laboratory of Potato Biology, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Yunnan, 650500, China.
Yinying YaoState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Ye WangYunnan Key Laboratory of Potato Biology, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Yunnan, 650500, China.
Yongshuo MaYunnan Key Laboratory of Potato Biology, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Yunnan, 650500, China.
Yi ShangYunnan Key Laboratory of Potato Biology, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Yunnan, 650500, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant natural products (PNPs) are widely used in pharmaceutical, cosmetic, and food industries. Currently, their commercial supply largely relies on plant extraction, yet, suffers from low yield and limited resources. Synthetic biology provides a promising solution by reconstituting biosynthetic pathways of PNPs in microbial systems. However, unknown enzymatic steps or poor functional performance of plant-derived enzymes often make it particularly challenging for the PNPs production in microorganisms. To address these limitations, much progress has been made in enzyme mining, enzymatic mechanism elucidation, and enzyme optimization by protein design technologies. The deep integration of artificial intelligence and synthetic biology has provided attractive solutions for the sustainable production of PNPs. This review introduces the cutting-edge advances of protein design technologies in PNPs biosynthesis, elaborates on the approaches to resolve the main bottlenecks in PNPs biosynthesis, and discusses the immense application potential driven by the integration of AI and synthetic biology.

Indexed as

Artificial intelligencePlant natural productsProtein designSynthetic biology

Identifiers

PMID42038708
PMCPMC13109297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.