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  1. Article ; Online: Targeted Delivery of Arctigenin Using Sialic Acid Conjugate-Modified Liposomes for the Treatment of Breast Cancer

    Shunfang Liu / Yaozhen He / Minding Feng / Yongtong Huang / Wenhao Wu / Jiu Wang

    Molecules, Vol 29, Iss 1, p

    2024  Volume 278

    Abstract: Arctigenin (ATG) is a broad-spectrum antitumor drug with an excellent inhibitory effect on malignant tumors such as breast cancer, glioblastoma, liver cancer, and colon cancer. However, the clinical application of ATG is limited by its poor water ... ...

    Abstract Arctigenin (ATG) is a broad-spectrum antitumor drug with an excellent inhibitory effect on malignant tumors such as breast cancer, glioblastoma, liver cancer, and colon cancer. However, the clinical application of ATG is limited by its poor water solubility and quick hydrolysis in the liver, intestine, and plasma, which might hinder its application. Sialic acid (SA) recognizes selectin receptors overexpressed on the surface of tumor-associated macrophages. In this study, SA was conjugated with octadecylamine (ODA) to prepare SA-ODA, which was employed to prepare SA functionalized nanoliposomes (SA-Lip) to achieve breast cancer targeting. The formulations were finely optimized using the Box–Behnken design to achieve higher ATG loading. The size, ζ potential, entrapment efficiency, drug loading, and release behavior of ATG@SA-Lip were fully investigated in comparison with conventional ATG@Lip. The ATG@SA-Lip displayed more potent cytotoxicity and higher cellular internalization compared to ATG@Sol and ATG@Lip in both MCF7 and 4T1 cells. Notably, ATG@SA-Lip showed the lowest impact on the immune system. Our study demonstrates that SA-Lip has strong potential as a delivery system for the targeted delivery of ATG.
    Keywords sialic acid receptor ; nanoliposomes ; targeted delivery ; arctigenin ; antitumor in vivo ; Organic chemistry ; QD241-441
    Subject code 610
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Exploring the active compounds of traditional Mongolian medicine in intervention of novel coronavirus (COVID-19) based on molecular docking method

    Jiu-wang Yu / Lu Wang / Li-dao Bao

    Journal of Functional Foods, Vol 71, Iss , Pp 104016- (2020)

    2020  

    Abstract: Objective: This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine. Methods: Mongolian medicine with anti-inflammatory and antiviral effects is ... ...

    Abstract Objective: This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine. Methods: Mongolian medicine with anti-inflammatory and antiviral effects is selected from Mongolian medicine prescription preparations. TCMSP, ETCM database and document mining methods were used to collect active compounds. Swiss TargetPrediction and SuperPred server were used to find targets of compounds with smiles number. Drugbank and Genecard database were used to collect antiviral drug targets. Then the above targets were compared and analyzed to screen out antiviral targets of Mongolia medicine. Metascape database platform was used to enrich and analyze the GO (Gene ontology) annotation and KEGG pathway of the targets. In view of the high homology of gene sequences between SARS-CoV-2 S-protein RBD domain and SARS virus, as well as their similarities in pathogenesis and clinical manifestations, we established SARS-CoV-2 S-protein model using Swiss-Model. The ZDOCK protein docking software was applied to dock the S-protein with the human angiotensin ACE2 protein to find out the key amino acids of the binding site. Taking ACE2 as the receptor, the molecular docking between the active ingredients and the target protein was studied by AutoDock molecular docking software. The interaction between ligand and receptor is applied to provide a choice for screening anti-COVID-19 drugs. Results: A total of 253 active components were predicted. Metascape analysis showed that key candidate targets were significantly enriched in multiple pathways related to different toxins. These key candidate targets were mainly derived from phillyrin and chlorogenic acid. Through the protein docking between S-protein and ACE2, it is found that Glu329/Gln325 and Gln42/Asp38 in ACE2 play an important role in the binding process of the two. The results of molecular docking virtual calculation showed that phillyrin and chlorogenic acid could stably combine with Gln325 and ...
    Keywords Mongolian medicine ; Phillyrin ; Chlorogenic acid ; COVID-19 ; S-protein ; ACE2 ; Nutrition. Foods and food supply ; TX341-641
    Subject code 540
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: An Efficient Algorithm for the Detection of Outliers in Mislabeled Omics Data

    Hongwei Sun / Jiu Wang / Zhongwen Zhang / Naibao Hu / Tong Wang

    Computational and Mathematical Methods in Medicine, Vol

    2021  Volume 2021

    Abstract: High dimensionality and noise have made it difficult to detect related biomarkers in omics data. Through previous study, penalized maximum trimmed likelihood estimation is effective in identifying mislabeled samples in high-dimensional data with ... ...

    Abstract High dimensionality and noise have made it difficult to detect related biomarkers in omics data. Through previous study, penalized maximum trimmed likelihood estimation is effective in identifying mislabeled samples in high-dimensional data with mislabeled error. However, the algorithm commonly used in these studies is the concentration step (C-step), and the C-step algorithm that is applied to robust penalized regression does not ensure that the criterion function is gradually optimized iteratively, because the regularized parameters change during the iteration. This makes the C-step algorithm runs very slowly, especially when dealing with high-dimensional omics data. The AR-Cstep (C-step combined with an acceptance-rejection scheme) algorithm is proposed. In simulation experiments, the AR-Cstep algorithm converged faster (the average computation time was only 2% of that of the C-step algorithm) and was more accurate in terms of variable selection and outlier identification than the C-step algorithm. The two algorithms were further compared on triple negative breast cancer (TNBC) RNA-seq data. AR-Cstep can solve the problem of the C-step not converging and ensures that the iterative process is in the direction that improves criterion function. As an improvement of the C-step algorithm, the AR-Cstep algorithm can be extended to other robust models with regularized parameters.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 518
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Exploring the active compounds of traditional Mongolian medicine in intervention of novel coronavirus (COVID-19) based on molecular docking method.

    Yu, Jiu-Wang / Wang, Lu / Bao, Li-Dao

    Journal of functional foods

    2020  Volume 71, Page(s) 104016

    Abstract: Objective: This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine.: Methods: Mongolian medicine with anti-inflammatory and antiviral effects is ... ...

    Abstract Objective: This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine.
    Methods: Mongolian medicine with anti-inflammatory and antiviral effects is selected from Mongolian medicine prescription preparations. TCMSP, ETCM database and document mining methods were used to collect active compounds. Swiss TargetPrediction and SuperPred server were used to find targets of compounds with smiles number. Drugbank and Genecard database were used to collect antiviral drug targets. Then the above targets were compared and analyzed to screen out antiviral targets of Mongolia medicine. Metascape database platform was used to enrich and analyze the GO (Gene ontology) annotation and KEGG pathway of the targets. In view of the high homology of gene sequences between SARS-CoV-2 S-protein RBD domain and SARS virus, as well as their similarities in pathogenesis and clinical manifestations, we established SARS-CoV-2 S-protein model using Swiss-Model. The ZDOCK protein docking software was applied to dock the S-protein with the human angiotensin ACE2 protein to find out the key amino acids of the binding site. Taking ACE2 as the receptor, the molecular docking between the active ingredients and the target protein was studied by AutoDock molecular docking software. The interaction between ligand and receptor is applied to provide a choice for screening anti-COVID-19 drugs.
    Results: A total of 253 active components were predicted. Metascape analysis showed that key candidate targets were significantly enriched in multiple pathways related to different toxins. These key candidate targets were mainly derived from phillyrin and chlorogenic acid. Through the protein docking between S-protein and ACE2, it is found that Glu329/Gln325 and Gln42/Asp38 in ACE2 play an important role in the binding process of the two. The results of molecular docking virtual calculation showed that phillyrin and chlorogenic acid could stably combine with Gln325 and Gln42/Asp38 in ACE2, respectively, which hindered the combination between S- protein and ACE2.
    Conclusion: Phillyrin and chlorogenic acid can effectively prevent the combination of SARS-CoV-2 S-protein and ACE2 at the molecular level. Phillyrin and chlorogenic acid can be used as potential inhibitors of COVID-19 for further research and development.
    Keywords covid19
    Language English
    Publishing date 2020-05-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2511964-3
    ISSN 1756-4646
    ISSN 1756-4646
    DOI 10.1016/j.jff.2020.104016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Piperine treating sciatica through regulating inflammation and MiR-520a/P65 pathway.

    Yu, Jiu-Wang / Li, Sha / Bao, Li-Dao / Wang, Lu

    Chinese journal of natural medicines

    2021  Volume 19, Issue 6, Page(s) 412–421

    Abstract: Although the etiology of sciatica remains uncertain, there is increasing evidence that the disease process of sciatica is associated with the levels of inflammatory factors. Piperine, an alkaloid isolated from Piper nigrum, has previously been ... ...

    Abstract Although the etiology of sciatica remains uncertain, there is increasing evidence that the disease process of sciatica is associated with the levels of inflammatory factors. Piperine, an alkaloid isolated from Piper nigrum, has previously been demonstrated to inhibit inflammation and analgesic effects. The purpose of this study is to verify the regulatory relationship between miR-520a and p65 and to explore how miR-520a/P65 affects the level of cytokines under the action of piperine, so as to play a therapeutic role in sciatica. Through ELISA experiment, we confirmed that four inflammatory factors (IL-1β, TNF-α, IL-10, TGF-β1) can be used as evaluation indexes of sciatica. The differentially expressed miRNA was screened as miR-520a, by microarray technology, and the downstream target of miR-520a was P65 by bioinformatics. Real-time fluorescence quantitative PCR confirmed that the expression of miR-520a was negatively correlated with pro-inflammatory cytokines, positively correlated with anti-inflammatory cytokines and negatively correlated with p65 expression at mRNA level. The expression of p65 was positively correlated with pro-inflammatory cytokines and negatively correlated with anti-inflammatory cytokines at the protein level verified by ELISA and Western blot. HE staining analysis showed that the nerve fibers were repaired by piprine, the vacuoles were significantly reduced, and the degree of nerve fiber damage was also improved. Immunohistochemical analysis showed that the expression of p65 decreased after administration of piperine. Dual-luciferase reporter gene assay confirmed that the luciferase signal decreased significantly after cotransfection of miR-520a mimics and p65 3'UTR recombinant plasmid. To sum up, in the rat model of non-compressed lumbar disc herniation, piperine plays a significant role in analgesia. MiR-520a can specifically and directly target P65, and piperine can promote the expression of miR-520a, then inhibit the expression of p65, down-regulate the pro-inflammatory factors IL-1β and TNF-α, and up-regulate the effects of anti-inflammatory factors IL-10 and TGF-β1, so as to treat sciatica.
    MeSH term(s) Alkaloids/pharmacology ; Animals ; Benzodioxoles/pharmacology ; Inflammation/drug therapy ; Inflammation/genetics ; MicroRNAs/genetics ; Piperidines/pharmacology ; Polyunsaturated Alkamides/pharmacology ; Rats ; Sciatica/drug therapy ; Sciatica/genetics
    Chemical Substances Alkaloids ; Benzodioxoles ; MicroRNAs ; Piperidines ; Polyunsaturated Alkamides ; piperine (U71XL721QK)
    Language English
    Publishing date 2021-06-06
    Publishing country China
    Document type Journal Article
    ZDB-ID 2192577-X
    ISSN 1875-5364 ; 2095-6975 ; 1672-3651
    ISSN (online) 1875-5364
    ISSN 2095-6975 ; 1672-3651
    DOI 10.1016/S1875-5364(21)60040-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Exploring the active compounds of traditional Mongolian medicine in intervention of novel coronavirus (COVID-19) based on molecular docking method

    Yu, Jiu-wang / Wang, Lu / Bao, Li-dao

    Journal of functional foods. 2020 Aug., v. 71

    2020  

    Abstract: This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine.Mongolian medicine with anti-inflammatory and antiviral effects is selected from Mongolian ... ...

    Abstract This article intends to use molecular docking technology to find potential inhibitors that can respond to COVID-19 from active compounds in Mongolian medicine.Mongolian medicine with anti-inflammatory and antiviral effects is selected from Mongolian medicine prescription preparations. TCMSP, ETCM database and document mining methods were used to collect active compounds. Swiss TargetPrediction and SuperPred server were used to find targets of compounds with smiles number. Drugbank and Genecard database were used to collect antiviral drug targets. Then the above targets were compared and analyzed to screen out antiviral targets of Mongolia medicine. Metascape database platform was used to enrich and analyze the GO (Gene ontology) annotation and KEGG pathway of the targets. In view of the high homology of gene sequences between SARS-CoV-2 S-protein RBD domain and SARS virus, as well as their similarities in pathogenesis and clinical manifestations, we established SARS-CoV-2 S-protein model using Swiss-Model. The ZDOCK protein docking software was applied to dock the S-protein with the human angiotensin ACE2 protein to find out the key amino acids of the binding site. Taking ACE2 as the receptor, the molecular docking between the active ingredients and the target protein was studied by AutoDock molecular docking software. The interaction between ligand and receptor is applied to provide a choice for screening anti-COVID-19 drugs.A total of 253 active components were predicted. Metascape analysis showed that key candidate targets were significantly enriched in multiple pathways related to different toxins. These key candidate targets were mainly derived from phillyrin and chlorogenic acid. Through the protein docking between S-protein and ACE2, it is found that Glu329/Gln325 and Gln42/Asp38 in ACE2 play an important role in the binding process of the two. The results of molecular docking virtual calculation showed that phillyrin and chlorogenic acid could stably combine with Gln325 and Gln42/Asp38 in ACE2, respectively, which hindered the combination between S- protein and ACE2.Phillyrin and chlorogenic acid can effectively prevent the combination of SARS-CoV-2 S-protein and ACE2 at the molecular level. Phillyrin and chlorogenic acid can be used as potential inhibitors of COVID-19 for further research and development.
    Keywords Coronavirinae ; Coronavirus infections ; active ingredients ; amino acids ; antiviral agents ; antiviral properties ; binding sites ; chlorogenic acid ; computer simulation ; computer software ; gene ontology ; humans ; ligands ; medicine ; models ; nucleotide sequences ; pathogenesis ; screening ; toxins ; viruses ; Mongolia ; covid19
    Language English
    Dates of publication 2020-08
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2511964-3
    ISSN 1756-4646
    ISSN 1756-4646
    DOI 10.1016/j.jff.2020.104016
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Piperine treating sciatica through regulating inflammation and MiR-520a/P65 pathway

    YU, Jiu-Wang / LI, Sha / BAO, Li-Dao / WANG, Lu

    Chinese journal of natural medicines. 2021 June, v. 19, no. 6

    2021  

    Abstract: Although the etiology of sciatica remains uncertain, there is increasing evidence that the disease process of sciatica is associated with the levels of inflammatory factors. Piperine, an alkaloid isolated from Piper nigrum, has previously been ... ...

    Abstract Although the etiology of sciatica remains uncertain, there is increasing evidence that the disease process of sciatica is associated with the levels of inflammatory factors. Piperine, an alkaloid isolated from Piper nigrum, has previously been demonstrated to inhibit inflammation and analgesic effects. The purpose of this study is to verify the regulatory relationship between miR-520a and p65 and to explore how miR-520a/P65 affects the level of cytokines under the action of piperine, so as to play a therapeutic role in sciatica. Through ELISA experiment, we confirmed that four inflammatory factors (IL-1β, TNF-α, IL-10, TGF-β1) can be used as evaluation indexes of sciatica. The differentially expressed miRNA was screened as miR-520a, by microarray technology, and the downstream target of miR-520a was P65 by bioinformatics. Real-time fluorescence quantitative PCR confirmed that the expression of miR-520a was negatively correlated with pro-inflammatory cytokines, positively correlated with anti-inflammatory cytokines and negatively correlated with p65 expression at mRNA level. The expression of p65 was positively correlated with pro-inflammatory cytokines and negatively correlated with anti-inflammatory cytokines at the protein level verified by ELISA and Western blot. HE staining analysis showed that the nerve fibers were repaired by piprine, the vacuoles were significantly reduced, and the degree of nerve fiber damage was also improved. Immunohistochemical analysis showed that the expression of p65 decreased after administration of piperine. Dual-luciferase reporter gene assay confirmed that the luciferase signal decreased significantly after cotransfection of miR-520a mimics and p65 3'UTR recombinant plasmid. To sum up, in the rat model of non-compressed lumbar disc herniation, piperine plays a significant role in analgesia. MiR-520a can specifically and directly target P65, and piperine can promote the expression of miR-520a, then inhibit the expression of p65, down-regulate the pro-inflammatory factors IL-1β and TNF-α, and up-regulate the effects of anti-inflammatory factors IL-10 and TGF-β1, so as to treat sciatica.
    Keywords 3' untranslated regions ; Piper nigrum ; Western blotting ; alkaloids ; analgesia ; analgesics ; animal models ; bioinformatics ; etiology ; fluorescence ; gene expression ; immunohistochemistry ; inflammation ; interleukin-10 ; luciferase ; microRNA ; microarray technology ; nerve fibers ; nerve tissue ; plasmids ; protein content ; quantitative polymerase chain reaction ; reporter genes
    Language English
    Dates of publication 2021-06
    Size p. 412-421.
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2192577-X
    ISSN 1875-5364 ; 2095-6975 ; 1672-3651
    ISSN (online) 1875-5364
    ISSN 2095-6975 ; 1672-3651
    DOI 10.1016/S1875-5364(21)60040-7
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Interaction between piperine and genes associated with sciatica and its mechanism based on molecular docking technology and network pharmacology.

    Yu, Jiu-Wang / Yuan, Hong-Wei / Bao, Li-Dao / Si, Leng-Ge

    Molecular diversity

    2020  Volume 25, Issue 1, Page(s) 233–248

    Abstract: Piperine is the main active component of Piper longum L., which is also the main component of anti-sciatica Mongolian medicine Naru Sanwei pill. It has many pharmacological activities such as anti-inflammatory and immune regulation. This paper aims to ... ...

    Abstract Piperine is the main active component of Piper longum L., which is also the main component of anti-sciatica Mongolian medicine Naru Sanwei pill. It has many pharmacological activities such as anti-inflammatory and immune regulation. This paper aims to preliminarily explore the potential mechanism of piperine in the treatment of sciatica through network pharmacology and molecular docking. TCMSP, ETCM database and literature mining were used to collect the active compounds of Piper longum L. Swiss TargetPrediction and SuperPred server were used to find the targets of compounds. At the same time, CTD database was used to collect the targets of sciatica. Then the above targets were compared and analyzed to select the targets of anti-sciatica in Piper longum L. The Go (gene ontology) annotation and KEGG pathway of the targets were enriched and analyzed by Metascape database platform. The molecular docking between the effective components and the targets was verified by Autodock. After that, the sciatica model of rats was established and treated with piperine. The expression level of inflammatory factors and proteins in the serum and tissues of rat sciatic nerve were detected by ELISA and Western blot. HE staining and immunohistochemistry were carried out on the sciatica tissues of rats. The results showed that Piper longum L. can regulate the development of sciatica and affect the expressions of PPARG and NF-kB1 through its active ingredient piperine, and there is endogenous interaction between PPARG and NF-kB1.
    MeSH term(s) Alkaloids/pharmacology ; Animals ; Benzodioxoles/pharmacology ; Drugs, Chinese Herbal/chemistry ; Drugs, Chinese Herbal/pharmacology ; Male ; Molecular Docking Simulation/methods ; Piper/chemistry ; Piperidines/pharmacology ; Polyunsaturated Alkamides/pharmacology ; Rats ; Rats, Sprague-Dawley ; Sciatic Nerve/drug effects ; Sciatica/drug therapy ; Sciatica/genetics ; Technology/methods
    Chemical Substances Alkaloids ; Benzodioxoles ; Drugs, Chinese Herbal ; Piperidines ; Polyunsaturated Alkamides ; piperine (U71XL721QK)
    Language English
    Publishing date 2020-03-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1376507-3
    ISSN 1573-501X ; 1381-1991
    ISSN (online) 1573-501X
    ISSN 1381-1991
    DOI 10.1007/s11030-020-10055-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: [FOXO4 maintains senescence in human umbilical cord mesenchymal stem cells by repressing apoptosis].

    Wu, Ping-Ping / Hu, Wen-Long / Yin, Chang-Chang / Fei, Jiu-Wang

    Sheng li xue bao : [Acta physiologica Sinica

    2020  Volume 72, Issue 4, Page(s) 426–432

    Abstract: The purpose of the present study was to investigate the effects of forkhead box O4 (FOXO4) on the senescence of human umbilical cord-derived mesenchymal stem cells (hUC-MSCs). The hUC-MSCs were induced to senescence by natural passage, and FOXO4 ... ...

    Abstract The purpose of the present study was to investigate the effects of forkhead box O4 (FOXO4) on the senescence of human umbilical cord-derived mesenchymal stem cells (hUC-MSCs). The hUC-MSCs were induced to senescence by natural passage, and FOXO4 expression was inhibited by lentiviral shRNA transfection. The hallmark of cell senescence was analyzed by β-galactosidase staining, and the cell viability was assayed by CCK-8 method. Flow cytometry was used to investigate the apoptosis of hUC-MSCs. The expression levels of Bcl-2, Bax, FOXO4, interleukin 6 (IL-6) and cleaved Caspase-3 were detected by qPCR and Western blot. Immunofluorescence staining was used to detect FOXO4 expression. The amount of IL-6 secreted by hUC-MSCs was detected by ELISA. The results showed that, compared with the passage 1, senescent hUC-MSCs showed up-regulated expression levels of Bax and FOXO4, down-regulated expression levels of Bcl-2 and cleaved Caspase-3, and increased IL-6 mRNA expression and secretion. FOXO4 inhibition in senescent hUC-MSCs promoted cell apoptosis, reduced cell viability, and inhibited the mRNA expression and secretion of IL-6. These results suggest that FOXO4 maintains viability and function of senescent hUC-MSCs by repressing their apoptosis response, thus accelerating senescence of the whole cell colony.
    MeSH term(s) Apoptosis ; Cell Cycle Proteins ; Cell Survival ; Cellular Senescence ; Forkhead Transcription Factors ; Humans ; Mesenchymal Stem Cell Transplantation ; Mesenchymal Stem Cells ; Transcription Factors ; Umbilical Cord
    Chemical Substances Cell Cycle Proteins ; FOXO4 protein, human ; Forkhead Transcription Factors ; Transcription Factors
    Language Chinese
    Publishing date 2020-08-21
    Publishing country China
    Document type Journal Article
    ZDB-ID 604308-2
    ISSN 0371-0874
    ISSN 0371-0874
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Engine Oil Degradation Induced by Biodiesel

    Jiu Wang / Tianxi He / Chunyu Song / Xiaoqing Li / Boshui Chen

    ACS Omega, Vol 4, Iss 14, Pp 16166-

    Effect of Methyl Oleate on the Performance of Zinc Dialkyldithiophosphate

    2019  Volume 16170

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2019-09-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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