Evidence map›Paper›PMID 30201875›Full record

ReviewMolecules (Basel, Switzerland)2018

Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs.

Ke Han, Lei Zhang, Miao Wang, Rui Zhang, Chunyu Wang, Chengzhi Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 37 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

6 authors at 3 institutions in 1 country.

Ke HanSchool of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China. hanke@hrbcu.edu.cn.ORCID 0000-0003-0279-4150
Lei ZhangLife Sciences and Environmental Sciences Development Center, Harbin University of Commerce, Harbin 150010, China. 13212921382@163.com.
Miao WangLife Sciences and Environmental Sciences Development Center, Harbin University of Commerce, Harbin 150010, China. w1993817m@163.com.
Rui ZhangCollege of Tourism and Landscape Architecture, Guilin University of Technology, Guilin 541001, China. sophiewu@yahoo.com.
Chunyu WangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China. chunyu@hit.edu.cn.
Chengzhi ZhangLife Sciences and Environmental Sciences Development Center, Harbin University of Commerce, Harbin 150010, China. yiyangchunxiao@163.com.
Harbin University of Commerce · CNGuilin University of Technology · CNHarbin Institute of Technology · CN

Funding

the Support Program for Young Academic Key Teacher of Higher Education of Heilongjiang Province 1254G030
6 · The paper itself

Abstract

Chinese herbal medicine has recently gained worldwide attention. The curative mechanism of Chinese herbal medicine is compared with that of western medicine at the molecular level. The treatment mechanism of most Chinese herbal medicines is still not clear. How do we integrate Chinese herbal medicine compounds with modern medicine? Chinese herbal medicine drug-like prediction method is particularly important. A growing number of Chinese herbal source compounds are now widely used as drug-like compound candidates. An important way for pharmaceutical companies to develop drugs is to discover potentially active compounds from related herbs in Chinese herbs. The methods for predicting the drug-like properties of Chinese herbal compounds include the virtual screening method, pharmacophore model method and machine learning method. In this paper, we focus on the prediction methods for the medicinal properties of Chinese herbal medicines. We analyze the advantages and disadvantages of the above three methods, and then introduce the specific steps of the virtual screening method. Finally, we present the prospect of the joint application of various methods.

Indexed as

Medicine, Chinese TraditionalDrug Evaluation, PreclinicalDrugs, Chinese HerbalHumansMachine LearningMolecular Docking SimulationReproducibility of ResultsDrugs, Chinese HerbalChinese herbal compoundscomparative studydrug-likenessvirtual screening

Identifiers

PMID30201875
PMCPMC6225236
OpenAlexW2889735293

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.