Evidence map›Paper›PMID 31671588›Full record

ArticleMolecules (Basel, Switzerland)2019

Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family.

Andreza Barbosa Silva Cavalcanti, Renata Priscila Costa Barros, Vicente Carlos de Oliveira Costa, Marcelo Sobral da Silva, Josean Fechine Tavares, Luciana Scotti, Marcus Tullius Scotti

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 19 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

7 authors at 1 institution in 1 country.

Andreza Barbosa Silva CavalcantiPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. andreza.jp.pb@gmail.com.
Renata Priscila Costa BarrosPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. renatapcbarros@gmail.com.
Vicente Carlos de Oliveira CostaPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. vicente@ltf.ufpb.br.
Marcelo Sobral da SilvaPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. marcelosobral.ufpb@gmail.com.
Josean Fechine TavaresPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. josean@ltf.ufpb.br.ORCID 0000-0003-0293-2605
Luciana ScottiPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. luciana.scotti@gmail.com.ORCID 0000-0003-1866-4107
Marcus Tullius ScottiPost-Graduate Program in Natural Synthetic Bioactive Products, Federal University of Paraiba, João Pessoa 58051-900, Paraíba, Brazil. mtscotti@gmail.com.ORCID 0000-0003-4863-8057
Universidade Federal da Paraíba · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 431254/2018-4
6 · The paper itself

Abstract

Lamiaceae is one of the largest families of angiosperms and is classified into 12 subfamilies that are composed of 295 genera and 7775 species. It presents a variety of secondary metabolites such as diterpenes that are commonly found in their species, and some of them are known to be chemotaxonomic markers. The aim of this work was to construct a database of diterpenes and to use it to perform a chemotaxonomic analysis among the subfamilies of Lamiaceae, using molecular descriptors and self-organizing maps (SOMs). The 4115 different diterpenes corresponding to 6386 botanical occurrences, which are distributed in eight subfamilies, 66 genera, 639 different species and 4880 geographical locations, were added to SistematX. Molecular descriptors of diterpenes and their respective botanical occurrences were used to generate the SOMs. In all obtained maps, a match rate higher than 80% was observed, demonstrating a separation of the Lamiaceae subfamilies, corroborating with the morphological and molecular data proposed by Li et al. Therefore, through this chemotaxonomic study, we can predict the localization of a diterpene in a subfamily and assist in the search for secondary metabolites with specific structural characteristics, such as compounds with potential biological activity.

Indexed as

BioprospectingAlgorithmsDatabases as TopicDiterpenesLamiaceaeMachine LearningPhylogenyDiterpeneschemotaxonomicdatabasediterpenesLamiaceaeSOMs

Identifiers

PMID31671588
PMCPMC6864738
OpenAlexW2982662023

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.