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Predictive insights into plant-based compounds as fibroblast growth factor receptor 1 inhibitors: a combined molecular docking and dynamics simulation study.
Almoyad, Mohammad Ali Abdullah; Wahab, Shadma; Ansari, Mohammed Nazam; Ahmad, Wasim; Hani, Umme; Chandra, Subhash.
Afiliação
  • Almoyad MAA; Department of Basic Medical Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
  • Wahab S; Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
  • Ansari MN; Department of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Saudi Arabia.
  • Ahmad W; Department of Pharmacy, Mohammed Al-Mana College for Medical Sciences, Dammam, Saudi Arabia.
  • Hani U; Department of Pharmaceutics, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
  • Chandra S; Department of Botany, Soban Singh Jeena University, Almora, India.
J Biomol Struct Dyn ; : 1-10, 2024 Apr 26.
Article em En | MEDLINE | ID: mdl-38669200
ABSTRACT
The discovery of novel therapeutic agents with potent anticancer activity remains a critical challenge in drug development. Natural products, particularly bioactive phytoconstituents derived from plants, have emerged as promising sources for anticancer drug discovery. In this study, we used virtual screening techniques to explore the potential of bioactive phytoconstituents as inhibitors of fibroblast growth factor receptor 1 (FGFR1), a key signaling protein implicated in cancer progression. We used virtual screening techniques to analyze phytoconstituents extracted from the IMPPAT 2.0 database. Our primary objective was to discover promising inhibitors of FGFR1. To ensure the selection of promising candidates, we initially filtered the molecules based on their physicochemical properties. Subsequently, we performed binding affinity calculations, PAINS, ADMET, and PASS filters to identify nontoxic and highly effective hits. Through this screening process, one phytocompound, namely Mundulone, emerged as a potential lead. This compound demonstrated an appreciable affinity for FGFR1 and exhibited specific interactions with the ATP-binding site residues. To gain further insights into the conformational dynamics of Mundulone and the reference FGFR1 inhibitor, Lenvatinib, we conducted time-evolution analyses employing 200 ns molecular dynamics simulations (MDS) and essential dynamics. These analyses provided valuable information regarding the dynamic behavior and stability of the compounds in complexes with FGFR1. Overall, the findings indicate that Mundulone exhibits promising binding affinity, specific interactions, and favorable drug profiles, making it a promising lead candidate. Further experimental analysis will be necessary to confirm its effectiveness and safety profiles for therapeutic advancement in the cancer field.Communicated by Ramaswamy H. Sarma.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Biomol Struct Dyn Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita
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