Δημοσιεύσεις

Project Acronym: CADD_AKPL
Title: Computer-Aided Drug Design for Adenosine GPCRs
Affiliation: national and kapodistrian university of athens
Pi: Antonios Kolocouris
Research Field: biochemistry, bioinformatics and life sciences

Discovery of Novel Adenosine Receptor Antagonists through a Combined Structure- and Ligand-Based Approach Followed by Molecular Dynamics Investigation of Ligand Binding Mode
by Lagarias, Panagiotis, Vrontaki, Eleni, Lambrinidis, George, Stamatis, Dimitrios, Convertino, Marino, Ortore, Gabriella, Mavromoustakos, Thomas, Klotz, Karl-Norbert and Kolocouris, Antonios
Abstract:
An intense effort is made by pharmaceutical and academic research laboratories to identify and develop selective antagonists for each adenosine receptor (AR) subtype as potential clinical candidates for “soft” treatment of various diseases. Crystal structures of subtypes A2A and A1ARs offer exciting opportunities for structure-based drug design. In the first part of the present work, Maybridge HitFinder library of 14400 compounds was utilized to apply a combination of structure-based against the crystal structure of A2AAR and ligand-based methodologies. The docking poses were rescored by CHARMM energy minimization and calculation of the desolvation energy using Poisson–Boltzmann equation electrostatics. Out of the eight selected and tested compounds, five were found positive hits (63% success). Although the project was initially focused on targeting A2AAR, the identified antagonists exhibited low micromolar or micromolar affinity against A2A/A3, ARs, or A3AR, respectively. Based on these results, 19 compounds characterized by novel chemotypes were purchased and tested. Sixteen of them were identified as AR antagonists with affinity toward combinations of the AR family isoforms (A2A/A3, A1/A3, A1/A2A/A3, and A3). The second part of this work involves the performance of hundreds of molecular dynamics (MD) simulations of complexes between the ARs and a total of 27 ligands to resolve the binding interactions of the active compounds, which were not achieved by docking calculations alone. This computational work allowed the prediction of stable and unstable complexes which agree with the experimental results of potent and inactive compounds, respectively. Of particular interest is that the 2-amino-thiophene-3-carboxamides, 3-acylamino-5-aryl-thiophene-2-carboxamides, and carbonyloxycarboximidamide derivatives were found to be selective and possess a micromolar to low micromolar affinity for the A3 receptor.
Reference:
Discovery of Novel Adenosine Receptor Antagonists through a Combined Structure- and Ligand-Based Approach Followed by Molecular Dynamics Investigation of Ligand Binding Mode (Lagarias, Panagiotis, Vrontaki, Eleni, Lambrinidis, George, Stamatis, Dimitrios, Convertino, Marino, Ortore, Gabriella, Mavromoustakos, Thomas, Klotz, Karl-Norbert and Kolocouris, Antonios), In Journal of Chemical Information and Modeling, volume 58, 2018.
Bibtex Entry:
@article{doi:10.1021-acs.jcim.7b00455,
 author = {Lagarias, Panagiotis and Vrontaki, Eleni and Lambrinidis, George and Stamatis, Dimitrios and Convertino, Marino and Ortore, Gabriella and Mavromoustakos, Thomas and Klotz, Karl-Norbert and Kolocouris, Antonios},
 title = {Discovery of Novel Adenosine Receptor Antagonists through a Combined Structure- and Ligand-Based Approach Followed by Molecular Dynamics Investigation of Ligand Binding Mode},
 journal = {Journal of Chemical Information and Modeling},
 volume = {58},
 number = {4},
 pages = {794-815},
 year = {2018},
 bibyear = {2018},
 doi = {10.1021/acs.jcim.7b00455},
 note = {PMID: 29485875},
 url = {https://doi.org/10.1021/acs.jcim.7b00455},
 eprint = {https://doi.org/10.1021/acs.jcim.7b00455},
 abstract = { An intense effort is made by pharmaceutical and academic research laboratories to identify and develop selective antagonists for each adenosine receptor (AR) subtype as potential clinical candidates for “soft” treatment of various diseases. Crystal structures of subtypes A2A and A1ARs offer exciting opportunities for structure-based drug design. In the first part of the present work, Maybridge HitFinder library of 14400 compounds was utilized to apply a combination of structure-based against the crystal structure of A2AAR and ligand-based methodologies. The docking poses were rescored by CHARMM energy minimization and calculation of the desolvation energy using Poisson–Boltzmann equation electrostatics. Out of the eight selected and tested compounds, five were found positive hits (63\% success). Although the project was initially focused on targeting A2AAR, the identified antagonists exhibited low micromolar or micromolar affinity against A2A/A3, ARs, or A3AR, respectively. Based on these results, 19 compounds characterized by novel chemotypes were purchased and tested. Sixteen of them were identified as AR antagonists with affinity toward combinations of the AR family isoforms (A2A/A3, A1/A3, A1/A2A/A3, and A3). The second part of this work involves the performance of hundreds of molecular dynamics (MD) simulations of complexes between the ARs and a total of 27 ligands to resolve the binding interactions of the active compounds, which were not achieved by docking calculations alone. This computational work allowed the prediction of stable and unstable complexes which agree with the experimental results of potent and inactive compounds, respectively. Of particular interest is that the 2-amino-thiophene-3-carboxamides, 3-acylamino-5-aryl-thiophene-2-carboxamides, and carbonyloxycarboximidamide derivatives were found to be selective and possess a micromolar to low micromolar affinity for the A3 receptor. },
}