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  1. Artikel: Molecular docking analysis of KRAS inhibitors for cancer management.

    J Hakeem, Israa / Alsharif, Fatmah Hazza / Aljadani, Majidah / Fahad Alabbas, Ibrahim / Faqihi, Mohammed Saud / Aloufi, Ahmed Hamdan / Almutairi, Wael Abdullah / Akber, Asif Hussain / Alam, Qamre

    Bioinformation

    2023  Band 19, Heft 4, Seite(n) 411–416

    Abstract: The majority of human tumors are characterized by abnormal signaling caused by oncogenic RAS proteins. KRAS is a member of the RAS family and is currently one of the most thoroughly researched targets for cancer treatment due to its prevalence in a ... ...

    Abstract The majority of human tumors are characterized by abnormal signaling caused by oncogenic RAS proteins. KRAS is a member of the RAS family and is currently one of the most thoroughly researched targets for cancer treatment due to its prevalence in a variety of deadly malignancies. Targeting the KRAS protein, which plays a crucial role in regulating cell growth, differentiation, and apoptosis, shows great potential as a strategy for fighting cancer. Herein, in silico screening of 530 natural compounds against KRAS protein was performed. The top-scoring hits, namely ZINC32502206, ZINC98363763, ZINC85645815, and ZINC98364259 displayed a robust affinity towards KRAS as evidenced by their respective binding affinity values of -10.50, -10.01, -9.80, and -9.70 kcal/mol, respectively which were notably higher than that of the control compound AMG 510 (-9.10 kcal/mol). Through virtual screening and visual inspection, it was observed that these hits effectively interacted with the essential residues located within the active site of KRAS. Based on the findings of this study, it can be inferred that these compounds may have the potential to be employed in the treatment of cancer by targeting KRAS.
    Sprache Englisch
    Erscheinungsdatum 2023-04-30
    Erscheinungsland Singapore
    Dokumenttyp Journal Article
    ZDB-ID 2203786-X
    ISSN 0973-2063
    ISSN 0973-2063
    DOI 10.6026/97320630019411
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Potential biomarkers in

    Ziaullah M, Sain / Azhar Kamal, Mohammad / Khan Warsi, Mohiuddin / Alghamdi, Saad / Al Qahtani, Mohammed Yahya / Al Rumaihi, Ahmed Muhammed / Akber, Asif Hussain / Al Qahtani, Mohammed Ali / M Rafeeq, Misbahuddin

    Bioinformation

    2023  Band 19, Heft 5, Seite(n) 611–622

    Abstract: ... Japanese ... ...

    Abstract Japanese encephalitis
    Sprache Englisch
    Erscheinungsdatum 2023-05-31
    Erscheinungsland Singapore
    Dokumenttyp Journal Article
    ZDB-ID 2203786-X
    ISSN 0973-2063
    ISSN 0973-2063
    DOI 10.6026/97320630019611
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

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