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3D-QSAR, Virtual Screening, Docking and Design of Dual PI3K/mTOR Inhibitors with Enhanced Antiproliferative Activity.
Oluic, Jelena; Nikolic, Katarina; Vucicevic, Jelica; Gagic, Zarko; Filipic, Slavica; Agbaba, Danica.
Afiliação
  • Oluic J; Institute of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade. Serbia.
  • Nikolic K; Institute of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade. Serbia.
  • Vucicevic J; Institute of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade. Serbia.
  • Gagic Z; Department of Pharmacy, Faculty of Medicine, Save Mrkalja 14, University of Banja Luka, 78000 Banja Luka. Bosnia and Herzegovina.
  • Filipic S; Institute of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade. Serbia.
  • Agbaba D; Institute of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade. Serbia.
Comb Chem High Throughput Screen ; 20(4): 292-303, 2017 Aug 10.
Article em En | MEDLINE | ID: mdl-28460621
ABSTRACT
AIM AND

OBJECTIVE:

Altered activity of PI3K/mTOR signaling pathway is one of the most common aberrations found in various forms of neoplastic lesions. Dual inhibition of PI3K and mTOR represents a reasonably attractive concept in potential cancer treatment. The main aim of this work was to design novel PI3K/mTOR inhibitors with enhanced antiproliferative activity. MATERIALS AND

METHODS:

3D-QSAR pharmacophore modeling studies were performed on two groups comprised of 37 and 48 dual PI3K/mTOR inhibitors. Obtained 3D-pharmacophores were used in design of new dual PI3K/mTOR inhibitors. Based on the in silico ADMET data, structure-based virtual screening and docking studies, the most promising novel candidates were selected.

RESULTS:

Four reliable PLS models with good statistical parameters (q2 = 0.72, r2 pred = 0.93; q2 = 0.81, r2 pred= 0.88 for 3D-QSAR (mTOR) models and q2 = 0.79, r2pred = 0.93; q2 = 0.79, r2 pred = 0.94 for 3D-QSAR (PI3K) models) were obtained and new highly selective and potent dual PI3K/mTOR inhibitors were designed. Further in silico ADMET profiling of the designed compounds selected the most promising novel PI3K/mTOR inhibitors as drug candidates. Results of the 3D-QSAR studies were confirmed by structure-based virtual screening protocol that identified selected designed compounds as a best fit for PI3K and mTOR receptors. Molecular docking studies on PI3K and mTOR crystal structures revealed the key active site residues involved in binding of PI3K/mTOR ligands.

CONCLUSION:

After combining the results of 3D-QSAR, ADMET profiling, virtual screening and docking, compounds 56-57 and 56-62 were chosen as the most promising new dual PI3K/mTOR inhibitors.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Inibidores de Proteínas Quinases / Serina-Treonina Quinases TOR / Simulação de Acoplamento Molecular / Inibidores de Fosfoinositídeo-3 Quinase Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Inibidores de Proteínas Quinases / Serina-Treonina Quinases TOR / Simulação de Acoplamento Molecular / Inibidores de Fosfoinositídeo-3 Quinase Idioma: En Ano de publicação: 2017 Tipo de documento: Article