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  1. Article ; Online: Automated recognition and analysis of body bending behavior in C. elegans.

    Zhang, Hui / Chen, Weiyang

    BMC bioinformatics

    2023  Volume 24, Issue 1, Page(s) 175

    Abstract: Background: Locomotion behaviors of Caenorhabditis elegans play an important role in drug activity screening, anti-aging research, and toxicological assessment. Previous studies have provided important insights into drug activity screening, anti-aging, ... ...

    Abstract Background: Locomotion behaviors of Caenorhabditis elegans play an important role in drug activity screening, anti-aging research, and toxicological assessment. Previous studies have provided important insights into drug activity screening, anti-aging, and toxicological research by manually counting the number of body bends. However, manual counting is often low-throughput and takes a lot of time and manpower. And it is easy to cause artificial bias and error in counting results.
    Results: In this paper, an algorithm is proposed for automatic counting and analysis of the body bending behavior of nematodes. First of all, the numerical coordinate regression method with convolutional neural network is used to obtain the head and tail coordinates. Next, curvature-based feature point extraction algorithm is used to calculate the feature points of the nematode centerline. Then the maximum distance between the peak point and the straight line between the pharynx and the tail is calculated. The number of body bends is counted according to the change in the maximum distance per frame.
    Conclusion: Experiments are performed to prove the effectiveness of the proposed algorithm. The accuracy of head coordinate prediction is 0.993, and the accuracy of tail coordinate prediction is 0.990. The Pearson correlation coefficient between the results of the automatic count and manual count of the number of body bends is 0.998 and the mean absolute error is 1.931. Different strains of nematodes are selected to analyze differences in body bending behavior, demonstrating a relationship between nematode vitality and lifespan. The code is freely available at https://github.com/hthana/Body-Bend-Count .
    MeSH term(s) Animals ; Caenorhabditis elegans ; Nematoda ; Caenorhabditis elegans Proteins ; Algorithms ; Aging
    Chemical Substances Caenorhabditis elegans Proteins
    Language English
    Publishing date 2023-04-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/s12859-023-05307-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Application of Feature Definition and Quantification in Biological Sequence Analysis.

    Chen, Weiyang / Li, Weiwei

    Current genomics

    2023  Volume 24, Issue 2, Page(s) 64–65

    Abstract: Biological sequence analysis is the most fundamental work in bioinformatics. Many research methods have been developed in the development of biological sequence analysis. These methods include sequence alignment-based methods and alignment-free methods. ... ...

    Abstract Biological sequence analysis is the most fundamental work in bioinformatics. Many research methods have been developed in the development of biological sequence analysis. These methods include sequence alignment-based methods and alignment-free methods. In addition, there are also some sequence analysis methods based on the feature definition and quantification of the sequence itself. This editorial introduces the methods of biological sequence analysis and explores the significance of defining features and quantitative research of biological sequences.
    Language English
    Publishing date 2023-11-22
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2033677-9
    ISSN 1875-5488 ; 1389-2029
    ISSN (online) 1875-5488
    ISSN 1389-2029
    DOI 10.2174/1389202924666230816150732
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Geraniol – A review update

    Chen, Weiyang / Viljoen, Alvaro M

    South African journal of botany. 2022 Sept. 06,

    2022  

    Abstract: Geraniol is an acyclic isoprenoid monoterpene that is biosynthesised by a large number of aromatic plants. It is widely used in cosmetics, household products and pharmaceuticals, because of its low toxicity and environmentally-friendly profile. An ... ...

    Abstract Geraniol is an acyclic isoprenoid monoterpene that is biosynthesised by a large number of aromatic plants. It is widely used in cosmetics, household products and pharmaceuticals, because of its low toxicity and environmentally-friendly profile. An increasing demand for the compound has encouraged research into alternative synthetic routes, and great efforts are still aimed to increase the compound yield through heterologous production in microorganisms, using a variety of different strategies. Geraniol is proven to exhibit various biological activities, including antitumour, anti-inflammatory, anti-oxidant, antimicrobial, hepatoprotective, cardioprotective and neuroprotective effects. The lipophilic compound is a relatively good penetration enhancer and can be used to increase transdermal drug delivery. Encapsulation of the compound using different methods has circumvented problems associated with the dispersal of the non-polar entity within aqueous matrices, such as foods, to prevent spoilage. The volatile nature of the compound lends itself to applications such as postharvest fumigation of grain crops to protect against invading insects and mycotoxin-producing fungi, and as a mosquito repellent. In addition, administration via inhalation can combat respiratory pathogens susceptible to geraniol, while combating inflammation. Using the multidisciplinary Scopus database, it became evident through a bibliometric analysis of the available literature spanning the past 11 years that, despite a host of research reports documenting the anticancer activity of the compound, research is limited to in vitro, in silico and in vivo experiments, while clinical trials are completely lacking. This review is an update to our 2010 publication on the same topic and aims to reflect and compare the progress, and to highlight the potential and opportunities for further evidence based research.
    Keywords antineoplastic activity ; antioxidants ; bibliometric analysis ; botany ; breathing ; computer simulation ; cosmetics ; databases ; drugs ; encapsulation ; fumigation ; geraniol ; inflammation ; insect repellents ; lipophilicity ; spoilage ; toxicity
    Language English
    Dates of publication 2022-0906
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 2126918-X
    ISSN 0254-6299
    ISSN 0254-6299
    DOI 10.1016/j.sajb.2022.09.012
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Age prediction based on a small number of facial landmarks and texture features.

    Wang, Mengjie / Chen, Weiyang

    Technology and health care : official journal of the European Society for Engineering and Medicine

    2021  Volume 29, Issue S1, Page(s) 497–507

    Abstract: Background: Age is an essential feature of people, so the study of facial aging should have particular significance.: Objective: The purpose of this study is to improve the performance of age prediction by combining facial landmarks and texture ... ...

    Abstract Background: Age is an essential feature of people, so the study of facial aging should have particular significance.
    Objective: The purpose of this study is to improve the performance of age prediction by combining facial landmarks and texture features.
    Methods: We first measure the distribution of each texture feature. From a geometric point of view, facial feature points will change with age, so it is essential to study facial feature points. We annotate the facial feature points, label the corresponding feature point coordinates, and then use the coordinates of feature points and texture features to predict the age.
    Results: We use the Support Vector Machine regression prediction method to predict the age based on the extracted texture features and landmarks. Compared with facial texture features, the prediction results based on facial landmarks are better. This suggests that the facial morphological features contained in facial landmarks can reflect facial age better than facial texture features. Combined with facial landmarks and texture features, the performance of age prediction can be improved.
    Conclusions: According to the experimental results, we can conclude that texture features combined with facial landmarks are useful for age prediction.
    MeSH term(s) Aging ; Algorithms ; Face ; Humans ; Support Vector Machine
    Language English
    Publishing date 2021-03-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1159961-3
    ISSN 1878-7401 ; 0928-7329
    ISSN (online) 1878-7401
    ISSN 0928-7329
    DOI 10.3233/THC-218047
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Definition and Usage of Texture Feature for Biological Sequence.

    Chen, Weiyang / Li, Weiwei

    IEEE/ACM transactions on computational biology and bioinformatics

    2021  Volume 18, Issue 2, Page(s) 773–776

    Abstract: In recent years, sequencing technology has developed rapidly. This produces a large number of biological sequence data. Because of its importance, there have been many studies on biological sequences. However, there is still a lack of an effective ... ...

    Abstract In recent years, sequencing technology has developed rapidly. This produces a large number of biological sequence data. Because of its importance, there have been many studies on biological sequences. However, there is still a lack of an effective quantitative method for defining and calculating texture features of biological sequences. Texture is an important visual feature. It is generally used to describe the spatial arrangement of intensities of images. Here we defined the texture features of biological sequence. Combining the digital coding of biological sequence with the calculation method of image texture features, we defined the texture features of biological sequence and designed the calculation method. We applied this method to DNA sequence features quantification and analysis. Using these quantified features, we can compute the similarity distance matrix of DNA sequences and construct the phylogenetic relationships based on the clustering of the quantified features. This method can be applied to analyze any biological sequence, and all biological sequences can be digitally coded and texture features can be calculated by this method. This is a novel study of biological sequence texture features. This will usher in a new era of quantitative and mathematical calculation of biological sequence features.
    MeSH term(s) Cluster Analysis ; Computational Biology/methods ; DNA/analysis ; DNA/chemistry ; DNA/classification ; DNA/genetics ; Image Processing, Computer-Assisted/methods ; Phylogeny ; Sequence Analysis, DNA/methods
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2021-04-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2020.2973084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Chemical profiling, anticonvulsant and anxiolytic effects of the smoke constituents isolated from Leonotis leonurus (L.) R.Br.

    Nsuala, Baudry N / Enslin, Gill / Chen, Weiyang / Veale, Clinton / Viljoen, Alvaro

    Journal of ethnopharmacology

    2024  Volume 331, Page(s) 118271

    Abstract: Ethnopharmacological relevance: The use of medicinal plants for central nervous system (CNS)-related ailments, such as epilepsy and anxiety, is prevalent in South Africa. Plants from the Lamiaceae family are commonly used for their therapeutic benefits. ...

    Abstract Ethnopharmacological relevance: The use of medicinal plants for central nervous system (CNS)-related ailments, such as epilepsy and anxiety, is prevalent in South Africa. Plants from the Lamiaceae family are commonly used for their therapeutic benefits. Leonotis leonurus (L.) R.Br. has been reported in ethnobotanical literature to have anticonvulsant and anxiolytic effects through the inhalation of pyrolysis products obtained by combustion of the aerial parts.
    Aim and objectives: To explore the chemical profiles and CNS activity of the smoke extract and isolated constituents of L. leonurus in zebrafish larvae, through anticonvulsive and anxiolytic activity assays.
    Materials and methods: The smoke extract of L. leonurus was obtained through the combustion of the aerial parts of the plant using a custom-built smoke recovery apparatus. The chemical profile of the smoke constituents was determined using Ultra-Performance Liquid Chromatography coupled with Mass Spectrometry (UPLC-MS). Targeted compounds were subjected to preparative High-Performance Liquid Chromatography for separation before structure elucidation using Nuclear Magnetic Resonance (NMR). The maximum tolerated concentrations, as well as the anxiolytic activity of the smoke extract were determined in five days post fertilisation zebrafish larvae. Reverse-thigmotaxis and locomotor activity of larvae in the light/dark transition assay were used to determine anxiolytic activity. Zebrafish larvae at six days post fertilisation (dpf) were subjected to several concentrations of the smoke constituents of L. leonurus. The baseline locomotor activity of the larvae was tracked for 30 min, prior to addition of pentylenetetrazole (PTZ) to induce seizure-like behaviour in the larvae, after which the locomotor activity of the larvae was once again tracked for an additional 30 min.
    Results: The UPLC-MS profiles of the smoke extract revealed the presence of two main compounds, leoleorin A and leoleorin B, which were targeted and isolated. Upon subjection to NMR spectroscopy for structure elucidation, the compounds were confirmed to be labdane diterpenoids. Both leoleorin A and leoleorin B, and the smoke extract displayed suppression of the PTZ induced seizure-like behaviour in zebrafish larvae. Under light and dark conditions, the smoke extract and compounds displayed potential anxiolytic activity at different concentrations.
    Conclusion: Our results suggest that the smoke constituents of L. leonurus may exert anticonvulsant and anxiolytic effects which align with the traditional indications and the mode of administration.
    Language English
    Publishing date 2024-04-28
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2024.118271
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Automated recognition and analysis of head thrashes behavior in C. elegans.

    Zhang, Hui / Gao, Shan / Chen, Weiyang

    BMC bioinformatics

    2022  Volume 23, Issue 1, Page(s) 87

    Abstract: Background: Locomotive behaviors are a rapid evaluation indicator reflecting whether the nervous system of worms is damaged, and has been proved to be sensitive to chemical toxicity. In many toxicological studies, C. elegans head thrashes is a key ... ...

    Abstract Background: Locomotive behaviors are a rapid evaluation indicator reflecting whether the nervous system of worms is damaged, and has been proved to be sensitive to chemical toxicity. In many toxicological studies, C. elegans head thrashes is a key indicator of locomotive behaviors to measure the vitality of worms. In previous studies, the number of head thrashes was manually counted, which is time-consuming and labor-intensive.
    Results: This paper presents an automatic recognition and counting method for head thrashes behavior of worms from experimental videos. First, the image processing algorithm is designed for worm morphology features calculation, mean gray values of head and tail are used to locate the head of worm accurately. Next, the worm skeleton is extracted and divided into equal parts. The angle formulas are used to calculate the bending angle of the head of worm. Finally, the number of head thrashes is counted according to the bending angle of the head in each frame. The robustness of the proposed algorithm is evaluated by comparing the counting results of the manual counting. It is proved that the proposed algorithm can recognize the occurrence of head thrashes of C. elegans of different strains. In addition, the difference of the head thrashes behavior of different worm strains is analyzed, it is proved that the relationship between worm head thrashes behavior and lifespan.
    Conclusions: A new method is proposed to automatically count the number of head thrashes of worms. This algorithm makes it possible to count the number of head thrashes from the worm videos collected by the automatic tracking system. The proposed algorithm will play an important role in toxicological research and worm vitality research. The code is freely available at https://github.com/hthana/HTC .
    MeSH term(s) Algorithms ; Animals ; Caenorhabditis elegans/physiology ; Image Processing, Computer-Assisted/methods ; Longevity
    Language English
    Publishing date 2022-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/s12859-022-04622-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Conference proceedings: Mass spectral molecular networking to profile the phytochemicals of Cissampelos species

    Chen, Weiyang / Ncube, Efficient / Sotenjwa, Zimkhitha / Viljoen, Alvaro

    Planta Medica

    2023  Volume 89, Issue 14

    Event/congress 71st International Congress and Annual Meeting of the Society for Medicinal Plant and Natural Product Research (GA), Trinity College Dublin Ireland, 2023-07-02
    Language English
    Publishing date 2023-11-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 123545-x
    ISSN 1439-0221 ; 0032-0943
    ISSN (online) 1439-0221
    ISSN 0032-0943
    DOI 10.1055/s-0043-1774215
    Database Thieme publisher's database

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  9. Article: Permeation of Phytochemicals of Selected Psychoactive Medicinal Plants across Excised Sheep Respiratory and Olfactory Epithelial Tissues.

    Haasbroek-Pheiffer, Anja / Viljoen, Alvaro / Steenekamp, Jan / Chen, Weiyang / Hamman, Josias

    Pharmaceutics

    2023  Volume 15, Issue 5

    Abstract: The intranasal route of drug administration offers an opportunity to bypass the blood-brain barrier and deliver compounds directly into the brain. Scientific evidence exists for medicinal plants (e.g., ...

    Abstract The intranasal route of drug administration offers an opportunity to bypass the blood-brain barrier and deliver compounds directly into the brain. Scientific evidence exists for medicinal plants (e.g.,
    Language English
    Publishing date 2023-05-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527217-2
    ISSN 1999-4923
    ISSN 1999-4923
    DOI 10.3390/pharmaceutics15051423
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: An automatic measurement method for the response of Caenorhabditis elegans to chemicals.

    Zhang, Nan / Nie, Yanmin / Dong, Bingyue / Zhang, Da / Li, Guojun / Ning, Junyu / Xian, Bo / Chen, Weiyang / Gao, Shan

    Technology and health care : official journal of the European Society for Engineering and Medicine

    2024  

    Abstract: Background: Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception ... ...

    Abstract Background: Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception behavior of nematodes. By conducting this experiment, not only can the neurotoxicity of chemicals be reflected, but also the impact of chemicals on physiological functions regulated by the nervous system, such as nematode feeding behavior and basic motor ability.
    Objective: The experiment of detecting the response of nematode to chemicals is also a common method of chemical toxicity testing based on nematode models. In the analysis of worm tendency behavior, manual operations are generally used. Manually processing a large number of worms under a microscope is very time-consuming and labor-intensive. The current quantitative methods for nematode chemotaxis experiments are not only time-consuming and labor-intensive, but also biased in experimental results due to differences in judgment standards among experimenters. The automatic and efficient quantification method for nematode chemotaxis experiments is a very important technical difficulty in the field of nematode experiments.
    Methods: Here, we have designed an automatic quantification method for nematode chemotaxis experiments by incorporating image acquisition and processing techniques into the nematode experiment.
    Results: The experimental results show that the Pearson correlation coefficient between manual and automatic counting results is 0.978.
    Conclusion: This proves the effectiveness of our method. Applying the automatic measurement method to replace manual counting by the experimenter can improve work efficiency, and reduce errors in human counting operations.
    Language English
    Publishing date 2024-04-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1159961-3
    ISSN 1878-7401 ; 0928-7329
    ISSN (online) 1878-7401
    ISSN 0928-7329
    DOI 10.3233/THC-248013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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