LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 117

Search options

  1. Article ; Online: Predication of the post mining land use based on random forest and DBSCAN

    Qiang Bo / Pinhan Lv / Ziguan Wang / Qian Wang / Zechuan Li

    PLoS ONE, Vol 19, Iss

    2024  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective.

    Ding, Yuheng / Qiang, Bo / Chen, Qixuan / Liu, Yiqiao / Zhang, Liangren / Liu, Zhenming

    Journal of chemical information and modeling

    2024  Volume 64, Issue 8, Page(s) 2955–2970

    Abstract: Chemical reactions serve as foundational building blocks for organic chemistry and drug design. In the era of large AI models, data-driven approaches have emerged to innovate the design of novel reactions, optimize existing ones for higher yields, and ... ...

    Abstract Chemical reactions serve as foundational building blocks for organic chemistry and drug design. In the era of large AI models, data-driven approaches have emerged to innovate the design of novel reactions, optimize existing ones for higher yields, and discover new pathways for synthesizing chemical structures comprehensively. To effectively address these challenges with machine learning models, it is imperative to derive robust and informative representations or engage in feature engineering using extensive data sets of reactions. This work aims to provide a comprehensive review of established reaction featurization approaches, offering insights into the selection of representations and the design of features for a wide array of tasks. The advantages and limitations of employing SMILES, molecular fingerprints, molecular graphs, and physics-based properties are meticulously elaborated. Solutions to bridge the gap between different representations will also be critically evaluated. Additionally, we introduce a new frontier in chemical reaction pretraining, holding promise as an innovative yet unexplored avenue.
    MeSH term(s) Machine Learning ; Models, Chemical
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.4c00004
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1230: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article: Turn Hazardous Endosulfan into S-Doped Alkynyl Carbon Material for Energy Storage and Hg(II) Adsorption via a Green Mechanochemical Process

    Li, Yingjie / Xu, Xinyi / Qiang, Bo / Li, Yangyang / Lu, Yingzhou / Li, Chunxi

    ACS sustainable chemistry & engineering. 2022 July 08, v. 10, no. 28

    2022  

    Abstract: Degradation of persistent organic pollutants (POPs), synthesis of advanced electrode materials, and treatment of heavy metal wastewater are important issues in energy and environment fields, which may be realized simultaneously through a multi-in-one ... ...

    Abstract Degradation of persistent organic pollutants (POPs), synthesis of advanced electrode materials, and treatment of heavy metal wastewater are important issues in energy and environment fields, which may be realized simultaneously through a multi-in-one interface strategy. Herein, an in situ S-doped alkynyl carbon material (SACM) was synthesized by co-milling hazardous endosulfan and CaC₂. The solvent-free mechanochemical process is efficient, feasible, and green, whereby endosulfan is destructed completely under mild conditions without hazardous products and intermediates. The resultant SACM is a unique alkynyl-linked carbon skeleton with in situ S doping and multilayered structure. Furthermore, the SACM exhibits high supercapacitor performances with remarkable cycling stability and high specific capacitance (232.3 F cm–³), as well as excellent Hg(II) adsorptivity with pseudo-chemosorption behavior and high Hg(II) adsorbance (675.7 mg g–¹). This work provides an integrated solution for the efficient degradation of hazardous endosulfan and a green synthesis of functional ACMs.
    Keywords adsorption ; capacitance ; carbon ; electrochemical capacitors ; electrodes ; endosulfan ; energy ; green chemistry ; heavy metals ; mechanochemistry ; wastewater
    Language English
    Dates of publication 2022-0708
    Size p. 9216-9224.
    Publishing place American Chemical Society
    Document type Article
    ISSN 2168-0485
    DOI 10.1021/acssuschemeng.2c02414
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article ; Online: Association of ANRIL polymorphisms with coronary artery disease: A systemic meta-analysis.

    Zhang, Ya-Nan / Qiang, Bo / Fu, Li-Juan

    Medicine

    2020  Volume 99, Issue 42, Page(s) e22569

    Abstract: Background: The long noncoding RNAs have gradually been reported to be an important class of RNAs with pivotal roles in the development and progression of myocardial infarction (MI). In this study, we hypothesized that genetic variant of cyclin- ... ...

    Abstract Background: The long noncoding RNAs have gradually been reported to be an important class of RNAs with pivotal roles in the development and progression of myocardial infarction (MI). In this study, we hypothesized that genetic variant of cyclin-dependent kinase inhibitor 2B antisense RNA (ANRIL) may affect the prognosis of MI patients.
    Methods: A systematic review and meta-analysis of studies including 11,269 cases and 10,707 controls on the association of 5 ANRIL single nucleotide polymorphism and the overall risk of MI or coronary artery disease (CAD) was performed.
    Results: In the meta-analysis, rs4977574 A > G, rs1333040 C > T, rs1333042 A > G and rs10757274 A > G ANRIL polymorphisms were correlated with overall MI or CAD risk. No significant associations were found between ANRIL rs1333049 G > C polymorphism and CAD risk.
    Conclusions: The results indicated that ANRIL polymorphism (rs4977574, rs1333040, rs1333042, and rs10757274) were more generally associated with CAD or MI risk. Further experimental studies to evaluate the limits of this hypothesis are warranted, and future functional studies are required to clarify the possible mechanisms.
    MeSH term(s) Coronary Artery Disease/genetics ; Humans ; Polymorphism, Single Nucleotide ; RNA, Long Noncoding/genetics
    Chemical Substances CDKN2B antisense RNA, human ; RNA, Long Noncoding
    Language English
    Publishing date 2020-10-20
    Publishing country United States
    Document type Journal Article ; Meta-Analysis
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000022569
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.171: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article ; Online: Role of Barrett's Esophagus and Lymph Node Harvest in Recurrence of Early Esophageal Adenocarcinoma.

    Wang, Jun-Feng / Tian, Can-Qiong / Kan, Qiang-Bo

    The Annals of thoracic surgery

    2020  Volume 111, Issue 2, Page(s) 732

    MeSH term(s) Adenocarcinoma/surgery ; Barrett Esophagus/surgery ; Esophageal Neoplasms/surgery ; Humans ; Lymph Node Excision ; Neoplasm Recurrence, Local
    Language English
    Publishing date 2020-07-03
    Publishing country Netherlands
    Document type Letter ; Comment
    ZDB-ID 211007-6
    ISSN 1552-6259 ; 0003-4975
    ISSN (online) 1552-6259
    ISSN 0003-4975
    DOI 10.1016/j.athoracsur.2020.05.073
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 252: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Target Prediction Model for Natural Products Using Transfer Learning.

    Qiang, Bo / Lai, Junyong / Jin, Hongwei / Zhang, Liangren / Liu, Zhenming

    International journal of molecular sciences

    2021  Volume 22, Issue 9

    Abstract: A large proportion of lead compounds are derived from natural products. However, most natural products have not been fully tested for their targets. To help resolve this problem, a model using transfer learning was built to predict targets for natural ... ...

    Abstract A large proportion of lead compounds are derived from natural products. However, most natural products have not been fully tested for their targets. To help resolve this problem, a model using transfer learning was built to predict targets for natural products. The model was pre-trained on a processed ChEMBL dataset and then fine-tuned on a natural product dataset. Benefitting from transfer learning and the data balancing technique, the model achieved a highly promising area under the receiver operating characteristic curve (AUROC) score of 0.910, with limited task-related training samples. Since the embedding distribution difference is reduced, embedding space analysis demonstrates that the model's outputs of natural products are reliable. Case studies have proved our model's performance in drug datasets. The fine-tuned model can successfully output all the targets of 62 drugs. Compared with a previous study, our model achieved better results in terms of both AUROC validation and its success rate for obtaining active targets among the top ones. The target prediction model using transfer learning can be applied in the field of natural product-based drug discovery and has the potential to find more lead compounds or to assist researchers in drug repurposing.
    MeSH term(s) Biological Products ; Deep Learning ; Drug Discovery/methods ; Models, Theoretical ; Molecular Targeted Therapy
    Chemical Substances Biological Products
    Language English
    Publishing date 2021-04-28
    Publishing country Switzerland
    Document type Journal Article ; Validation Study
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms22094632
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article ; Online: The insufficient prognostic power of stenosis in patients with esophageal cancer.

    Wang, Jun-Feng / Kan, Qiang-Bo

    International journal of clinical oncology

    2017  Volume 22, Issue 6, Page(s) 1050–1051

    Language English
    Publishing date 2017-12
    Publishing country Japan
    Document type Letter
    ZDB-ID 1400227-9
    ISSN 1437-7772 ; 1341-9625
    ISSN (online) 1437-7772
    ISSN 1341-9625
    DOI 10.1007/s10147-017-1186-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 4828: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: Targeting drug‐tolerant cells

    Xiaohai Song / Yang Lan / Xiuli Zheng / Qianyu Zhu / Xuliang Liao / Kai Liu / Weihan Zhang / QiangBo Peng / Yunfeng Zhu / Linyong Zhao / Xiaolong Chen / Yang Shu / Kun Yang / Jiankun Hu

    MedComm, Vol 4, Iss 5, Pp n/a-n/a (2023)

    A promising strategy for overcoming acquired drug resistance in cancer cells

    2023  

    Abstract: Abstract Drug resistance remains the greatest challenge in improving outcomes for cancer patients who receive chemotherapy and targeted therapy. Surmounting evidence suggests that a subpopulation of cancer cells could escape intense selective drug ... ...

    Abstract Abstract Drug resistance remains the greatest challenge in improving outcomes for cancer patients who receive chemotherapy and targeted therapy. Surmounting evidence suggests that a subpopulation of cancer cells could escape intense selective drug treatment by entering a drug‐tolerant state without genetic variations. These drug‐tolerant cells (DTCs) are characterized with a slow proliferation rate and a reversible phenotype. They reside in the tumor region and may serve as a reservoir for resistant phenotypes. The survival of DTCs is regulated by epigenetic modifications, transcriptional regulation, mRNA translation remodeling, metabolic changes, antiapoptosis, interactions with the tumor microenvironment, and activation of signaling pathways. Thus, targeting the regulators of DTCs opens a new avenue for the treatment of therapy‐resistant tumors. In this review, we first provide an overview of common characteristics of DTCs and the regulating networks in DTCs development. We also discuss the potential therapeutic opportunities to target DTCs. Last, we discuss the current challenges and prospects of the DTC‐targeting approach to overcome acquired drug resistance. Reviewing the latest developments in DTC research could be essential in discovering of methods to eliminate DTCs, which may represent a novel therapeutic strategy for preventing drug resistance in the future.
    Keywords acquired drug resistance ; drug‐tolerant cells ; phenotype plasticity ; translational remodeling ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Article ; Online: Analysis of the expression correlation trithorax group protein core components DPY30 and ASH2L

    WEN Chang / LI Liang / SHU Peng-cheng / QIANG Bo-qin / PENG Xiao-zhong

    Jichu yixue yu linchuang, Vol 40, Iss 8, Pp 1047-

    2020  Volume 1052

    Abstract: Objective To investigate the relevance of the expression of DPY30 and ASH2L, two core members of trithorax group proteins (TrxG). Methods Northern blot was used to detect the expression of ASH2L and DPY30 in various human tissues and the trend of ASH2L ... ...

    Abstract Objective To investigate the relevance of the expression of DPY30 and ASH2L, two core members of trithorax group proteins (TrxG). Methods Northern blot was used to detect the expression of ASH2L and DPY30 in various human tissues and the trend of ASH2L and DPY30 expression during the differentiation of human chronic myelogenous leukemia (K562) cells induced by PMA. Western blot and RT-qPCR were used to detect the expression of protein and RNA of TrxG core components in the cerebral cortex of ASH2L conditional knockout mouse; IGV software was used to visually analyze the distribution of ASH2L and H3K4me3 on ASH2L and DPY30 gene chromatin in ChIP-seq results of mouse cerebral cortex. Results The expression of DPY30 and ASH2L similar in various tissues of the human body; The expression of DPY30 and ASH2L was both gradually decreasedPMA-induced differ- entiation of K562 cells; DPY30 protein level decreased in the cerebral cortex of ASH2L-cKO mouse while the expression change of DNA level of DPY30 has no statistically significant. Conclusions DPY30 has a correlation with ASH2L expression and ASH2L may regulate the protein expression level of DPY30.
    Keywords dpy30|ash2l|gene expression ; Medicine ; R
    Subject code 616
    Language Chinese
    Publishing date 2020-08-01T00:00:00Z
    Publisher Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Article ; Online: On-chip mid-infrared photothermoelectric detectors for full-Stokes detection.

    Dai, Mingjin / Wang, Chongwu / Qiang, Bo / Wang, Fakun / Ye, Ming / Han, Song / Luo, Yu / Wang, Qi Jie

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 4560

    Abstract: On-chip polarimeters are highly desirable for the next-generation ultra-compact optical and optoelectronic systems. Polarization-sensitive photodetectors relying on anisotropic absorption of natural/artificial materials have emerged as a promising ... ...

    Abstract On-chip polarimeters are highly desirable for the next-generation ultra-compact optical and optoelectronic systems. Polarization-sensitive photodetectors relying on anisotropic absorption of natural/artificial materials have emerged as a promising candidate for on-chip polarimeters owing to their filterless configurations. However, these photodetectors can only be applied for detection of either linearly or circularly polarized light, not applicable for full-Stokes detection. Here, we propose and demonstrate three-ports polarimeters comprising on-chip chiral plasmonic metamaterial-mediated mid-infrared photodetectors for full-Stokes detection. By manipulating the spatial distribution of chiral metamaterials, we could convert polarization-resolved absorptions to corresponding polarization-resolved photovoltages of three ports through the photothermoelectric effect. We utilize the developed polarimeter in an imaging demonstration showing reliable ability for polarization reconstruction. Our work provides an alternative strategy for developing polarization-resolved photodetectors with a bandgap-independent operation range in the mid-infrared.
    Language English
    Publishing date 2022-08-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-32309-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top