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  1. Article ; Online: Computational evaluation of 1,2,3-triazole-based VEGFR-2 inhibitors: anti-angiogenesis potential and pharmacokinetic assessment.

    Elbouhi, Mhamed / Ouabane, Mohamed / Tabti, Kamal / Badaoui, Hassan / Abdessadak, Oumayma / El Alaouy, Moulay Ahfid / Elkamel, Khalid / Lakhlifi, Tahar / Sbai, Abdelouahid / Ajana, Mohammed Aziz / Bouachrine, Mohammed

    Journal of biomolecular structure & dynamics

    2024  , Page(s) 1–11

    Abstract: The vascular endothelial growth factor (VEGF) and its cell surface receptor, as well as the human VEGFR-2 domain kinase, are some of the signaling pathways that have received the most attention in this field. This study aimed to identify novel molecules ... ...

    Abstract The vascular endothelial growth factor (VEGF) and its cell surface receptor, as well as the human VEGFR-2 domain kinase, are some of the signaling pathways that have received the most attention in this field. This study aimed to identify novel molecules as VEGFR-2 inhibitors using 3D-QSAR modeling based on 1,2,3-triazole. Docking studies and dynamic simulations were performed to analyze novel interactions with the inhibitors and validate the molecular docking, dynamic simulations, and ADMET analyses. The optimized CoMSIA/SEH model showed good statistical results, and molecular docking and molecular dynamics simulations demonstrated stability of M3 ligand with the receptor and provided insight into ligand-receptor interactions. The newly developed compounds performed well in ADMET evaluations and showed promising results using Lipinski's rule of five, suggesting that the molecule M3 could be a useful anti-angiogenesis agent. In conclusion, this study provides insights into the structure-activity relationship of VEGFR-2 inhibitors and identifies M3 as a potential new anti-angiogenesis drug. The methodology used in this study can be applied to other similar drug targets to discover new and potent inhibitors.Communicated by Ramaswamy H. Sarma.
    Language English
    Publishing date 2024-01-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2023.2301686
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Computational Prediction of 3,5-Diaryl-1H-Pyrazole and spiropyrazolines derivatives as potential acetylcholinesterase inhibitors for alzheimer disease treatment by 3D-QSAR, molecular docking, molecular dynamics simulation, and ADME-Tox.

    El Alaouy, Moulay Ahfid / Alaqarbeh, Marwa / Ouabane, Mohamed / Zaki, Hanane / ElBouhi, Mohamed / Badaoui, Hassan / Moukhliss, Youness / Sbai, Abdelouahid / Maghat, Hamid / Lakhlifi, Tahar / Bouachrine, Mohammed

    Journal of biomolecular structure & dynamics

    2023  , Page(s) 1–14

    Abstract: The efficacy of 40 synthesized variants of 3,5-diaryl-1H-pyrazole and spiropyrazoline' derivatives as acetylcholinesterase inhibitors is verified using a quantitative three-dimensional structure-activity relationship (3D-QSAR) by comparative molecular ... ...

    Abstract The efficacy of 40 synthesized variants of 3,5-diaryl-1H-pyrazole and spiropyrazoline' derivatives as acetylcholinesterase inhibitors is verified using a quantitative three-dimensional structure-activity relationship (3D-QSAR) by comparative molecular field analysis (CoMFA) and molecular similarity index analysis (CoMSIA) models. In this research, different field models proved that CoMSIA/SE model is the best model with high predictive power compared to several models (Qved
    Language English
    Publishing date 2023-09-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2023.2252116
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Computational investigation of imidazo[2,1-b]oxazole derivatives as potential mutant BRAF kinase inhibitors: 3D-QSAR, molecular docking, molecular dynamics simulation, and ADMETox studies.

    Boutalaka, Meryem / El Bahi, Salma / Alaqarbeh, Marwa / El Alaouy, Moulay Ahfid / Koubi, Yassine / Khatabi, Khalil El / Maghat, Hamid / Bouachrine, Mohammed / Lakhlifi, Tahar

    Journal of biomolecular structure & dynamics

    2023  Volume 42, Issue 10, Page(s) 5268–5287

    Abstract: BRAF inhibitors are known to be an effective therapeutic target for treating melanoma and other types of cancer. Using 3D-QSAR, molecular docking, and MD simulations, this study evaluated various imidazo[2,1-b]oxazole derivatives that function as mutant ... ...

    Abstract BRAF inhibitors are known to be an effective therapeutic target for treating melanoma and other types of cancer. Using 3D-QSAR, molecular docking, and MD simulations, this study evaluated various imidazo[2,1-b]oxazole derivatives that function as mutant BRAF kinase inhibitors. Comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA) were used to create the 3D-QSAR models. CoMSIA/SEHA model has solid predictive power across several models (Q
    MeSH term(s) Molecular Dynamics Simulation ; Molecular Docking Simulation ; Quantitative Structure-Activity Relationship ; Proto-Oncogene Proteins B-raf/antagonists & inhibitors ; Proto-Oncogene Proteins B-raf/chemistry ; Proto-Oncogene Proteins B-raf/metabolism ; Protein Kinase Inhibitors/chemistry ; Protein Kinase Inhibitors/pharmacology ; Humans ; Oxazoles/chemistry ; Oxazoles/pharmacology ; Mutation ; Protein Binding ; Imidazoles/chemistry ; Imidazoles/pharmacology ; Antineoplastic Agents/chemistry ; Antineoplastic Agents/pharmacology
    Chemical Substances BRAF protein, human
    Language English
    Publishing date 2023-07-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2023.2233629
    Database MEDical Literature Analysis and Retrieval System OnLINE

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