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Structure Based Modeling of Small Molecules Binding to the TLR7 by Atomistic Level Simulations.
Gentile, Francesco; Deriu, Marco A; Licandro, Ginevra; Prunotto, Alessio; Danani, Andrea; Tuszynski, Jack A.
Affiliation
  • Gentile F; Department of Physics, University of Alberta, Edmonton, AB T6G 2E1, Canada. fgentile@ualberta.ca.
  • Deriu MA; Institute of Computer Integrated Manufacturing for Sustainable Innovation, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno CH-6928, Switzerland. marco.deriu@supsi.ch.
  • Licandro G; Institute of Computer Integrated Manufacturing for Sustainable Innovation, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno CH-6928, Switzerland. ginevra.licandro@icimsi.ch.
  • Prunotto A; Institute of Computer Integrated Manufacturing for Sustainable Innovation, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno CH-6928, Switzerland. alessio.prunotto@supsi.ch.
  • Danani A; Institute of Computer Integrated Manufacturing for Sustainable Innovation, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno CH-6928, Switzerland. andrea.danani@supsi.ch.
  • Tuszynski JA; Department of Physics, University of Alberta, Edmonton, AB T6G 2E1, Canada. jackt@ualberta.ca.
Molecules ; 20(5): 8316-40, 2015 May 08.
Article in En | MEDLINE | ID: mdl-26007168
ABSTRACT
Toll-Like Receptors (TLR) are a large family of proteins involved in the immune system response. Both the activation and the inhibition of these receptors can have positive effects on several diseases, including viral pathologies and cancer, therefore prompting the development of new compounds. In order to provide new indications for the design of Toll-Like Receptor 7 (TLR7)-targeting drugs, the mechanism of interaction between the TLR7 and two important classes of agonists (imidazoquinoline and adenine derivatives) was investigated through docking and Molecular Dynamics simulations. To perform the computational analysis, a new model for the dimeric form of the receptors was necessary and therefore created. Qualitative and quantitative differences between agonists and inactive compounds were determined. The in silico results were compared with previous experimental observations and employed to define the ligand binding mechanism of TLR7.
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Full text: 1 Database: MEDLINE Main subject: Quinolines / Adenine / Computational Biology / Toll-Like Receptor 7 Type of study: Qualitative_research Limits: Humans Language: En Year: 2015 Type: Article

Full text: 1 Database: MEDLINE Main subject: Quinolines / Adenine / Computational Biology / Toll-Like Receptor 7 Type of study: Qualitative_research Limits: Humans Language: En Year: 2015 Type: Article