Evidence map›Paper›PMID 38776380›Full record

ArticleDatabase : the journal of biological databases and curation2024

A terpenoids database with the chemical content as a novel agronomic trait.

Wenqian Li, Yinliang Chen, Ruofei Yang, Zilong Hu, Shaozhong Wei, Sheng Hu, Xinjun Xiong, Meijuan Wang, Ammar Lubeiny, Xiaohua Li and 11 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Wenqian LiInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0009-0002-8327-317X
Yinliang ChenNational Key Laboratory of Agricultural Microbiology, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Ruofei YangNational Key Laboratory of Agricultural Microbiology, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Zilong HuNational Key Laboratory of Agricultural Microbiology, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Shaozhong WeiColorectal cancer clinical research center of HuBei Province，Colorectal cancer clinical research center of Wuhan, Hubei Cancer Hospital，Tongji Medical College, Huazhong University of Science and Technology，, Wuhan, Hubei 430069, China.
Sheng HuColorectal cancer clinical research center of HuBei Province，Colorectal cancer clinical research center of Wuhan, Hubei Cancer Hospital，Tongji Medical College, Huazhong University of Science and Technology，, Wuhan, Hubei 430069, China.
Xinjun XiongResearch Center for Rural Revitalization, Power China Kunming Engineering Corporation Limited, Kunming 650051, China.
Meijuan WangShennongjia Academy of Forestry, Shennongjia, Hubei 442400 China.
Ammar LubeinyAfrica City of Technology, Khartoum North, Sudan.
Xiaohua LiInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Minglei FengResearch Center for Rural Revitalization, Power China Kunming Engineering Corporation Limited, Kunming 650051, China.
Shuang DongInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Xinlu XieInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Chao NieInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Jingyi ZhangInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yunhao LuoInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yichen ZhouInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Ruodi LiuInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Jinhai PanInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
De-Xin KongNational Key Laboratory of Agricultural Microbiology, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0003-0744-116X
Xuebo HuInstitute for Medicinal Plants, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

Funding

Hubei Technology Innovation Center for Agricultural Sciences 2020-620-000-002-04National Natural Science Foundation of China 21977033National Science & Technology Fundamental Resources Investigation Program of China 2018FY100704Program of Hubei Province for International Cooperation 2022EHB047Shennongjia Academy of Forestry, Hubei, China SAF202102Yunnan Science and Technology Program 202205AF150004 ZY2023Z005
6 · The paper itself

Abstract

Natural products play a pivotal role in drug discovery, and the richness of natural products, albeit significantly influenced by various environmental factors, is predominantly determined by intrinsic genetics of a series of enzymatic reactions and produced as secondary metabolites of organisms. Heretofore, few natural product-related databases take the chemical content into consideration as a prominent property. To gain unique insights into the quantitative diversity of natural products, we have developed the first TerPenoids database embedded with Content information (TPCN) with features such as compound browsing, structural search, scaffold analysis, similarity analysis and data download. This database can be accessed through a web-based computational toolkit available at http://www.tpcn.pro/. By conducting meticulous manual searches and analyzing over 10 000 reference papers, the TPCN database has successfully integrated 6383 terpenoids obtained from 1254 distinct plant species. The database encompasses exhaustive details including isolation parts, comprehensive molecule structures, chemical abstracts service registry number (CAS number) and 7508 content descriptions. The TPCN database accentuates both the qualitative and quantitative dimensions as invaluable phenotypic characteristics of natural products that have undergone genetic evolution. By acting as an indispensable criterion, the TPCN database facilitates the discovery of drug alternatives with high content and the selection of high-yield medicinal plant species or phylogenetic alternatives, thereby fostering sustainable, cost-effective and environmentally friendly drug discovery in pharmaceutical farming. Database URL: http://www.tpcn.pro/.

Indexed as

TerpenesDatabases, ChemicalDatabases, FactualTerpenes

Identifiers

PMID38776380
PMCPMC11110934

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.