• 5 results in Exploration of Drug Science
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    Original Article
    Heterogeneous graph convolutional neural network for protein-ligand scoring
    Aim: Drug discovery is a long process, often taking decades of research endeavors. It is still an active area of research in both academic and industrial sectors with efforts on reducing time and [...] Read more.
    Kevin Crampon ... Luiz Angelo Steffenel
    Published: April 30, 2023 Explor Drug Sci. 2023;1:126–139
    DOI: https://doi.org/10.37349/eds.2023.00010
    This article belongs to the special issue Machine Learning for Drug Science
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    Open Access
    Review
    Focused ultrasound for treatment of peripheral brain tumors
    Malignant brain tumors are the leading cause of cancer-related death in children and remain a significant cause of morbidity and mortality throughout all demographics. Central nervous system (CNS) t [...] Read more.
    Phillip Mitchell Johansen ... Brandon Lucke-Wold
    Published: April 28, 2023 Explor Drug Sci. 2023;1:107–125
    DOI: https://doi.org/10.37349/eds.2023.00009
    View:2303
    Download:52
    Open Access
    Review
    Nano theranostics involved in bladder cancer treatment
    Bladder cancer (BC) is a complex disease with multiple clinical manifestations and treatment challenges, and current standard-of-care therapies remain limited and unfavorable. Theranostics, the inte [...] Read more.
    Kunpeng Liu ... Qingsong Yu
    Published: April 28, 2023 Explor Drug Sci. 2023;1:81–106
    DOI: https://doi.org/10.37349/eds.2023.00008
    This article belongs to the special issue Emerging Nanomedicine Technologies for Enhanced Cancer Theranostics
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    Times Cited: 0
    Open Access
    Editorial
    Machine learning for drug science
    Walter F. de Azevedo Jr.
    Published: April 16, 2023 Explor Drug Sci. 2023;1:77–80
    DOI: https://doi.org/10.37349/eds.2023.00007
    This article belongs to the special issue Machine Learning for Drug Science
    View:919
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    Times Cited: 0
    Open Access
    Original Article
    Levistolide A and periplogenin inhibit the growth of gastric cancer cells in vitro and in vivo
    Aim: In the present study, the natural products levistolide A (LA) and periplogenin (PPG) were studied for their growth inhibitory effects on the development of gastric cancer cells in vitro and,  [...] Read more.
    Jia Li Guo ... Ji Zhong Zhao
    Published: March 30, 2023 Explor Drug Sci. 2023;1:64–76
    DOI: https://doi.org/10.37349/eds.2023.00006
    This article belongs to the special issue Exploring Potential Drugs from Natural Products
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    Times Cited: 0