Citation
Cichero, Elena, et al. "Homology Modeling, Docking Studies and Molecular Dynamic Simulations Using Graphical Processing Unit Architecture to Probe the Type-11 Phosphodiesterase Catalytic Site: a Computational Approach for the Rational Design of Selective Inhibitors." Chemical Biology & Drug Design, vol. 82, no. 6, 2013, pp. 718-31.
Cichero E, D'Ursi P, Moscatelli M, et al. Homology modeling, docking studies and molecular dynamic simulations using graphical processing unit architecture to probe the type-11 phosphodiesterase catalytic site: a computational approach for the rational design of selective inhibitors. Chem Biol Drug Des. 2013;82(6):718-31.
Cichero, E., D'Ursi, P., Moscatelli, M., Bruno, O., Orro, A., Rotolo, C., Milanesi, L., & Fossa, P. (2013). Homology modeling, docking studies and molecular dynamic simulations using graphical processing unit architecture to probe the type-11 phosphodiesterase catalytic site: a computational approach for the rational design of selective inhibitors. Chemical Biology & Drug Design, 82(6), 718-31. https://doi.org/10.1111/cbdd.12193
Cichero E, et al. Homology Modeling, Docking Studies and Molecular Dynamic Simulations Using Graphical Processing Unit Architecture to Probe the Type-11 Phosphodiesterase Catalytic Site: a Computational Approach for the Rational Design of Selective Inhibitors. Chem Biol Drug Des. 2013;82(6):718-31. PubMed PMID: 23865680.
TY - JOUR
T1 - Homology modeling, docking studies and molecular dynamic simulations using graphical processing unit architecture to probe the type-11 phosphodiesterase catalytic site: a computational approach for the rational design of selective inhibitors.
AU - Cichero,Elena,
AU - D'Ursi,Pasqualina,
AU - Moscatelli,Marco,
AU - Bruno,Olga,
AU - Orro,Alessandro,
AU - Rotolo,Chiara,
AU - Milanesi,Luciano,
AU - Fossa,Paola,
Y1 - 2013/08/26/
PY - 2013/01/17/received
PY - 2013/06/14/revised
PY - 2013/07/09/accepted
PY - 2013/7/20/entrez
PY - 2013/7/20/pubmed
PY - 2014/6/17/medline
KW - 3D-model
KW - Graphical Processing Unit computing
KW - catalytic site
KW - homology modeling
KW - molecular docking
KW - molecular dynamic simulations
KW - phosphodiesterase 11
KW - selectivity
SP - 718
EP - 31
JF - Chemical biology & drug design
JO - Chem Biol Drug Des
VL - 82
IS - 6
N2 - Phosphodiesterase 11 (PDE11) is the latest isoform of the PDEs family to be identified, acting on both cyclic adenosine monophosphate and cyclic guanosine monophosphate. The initial reports of PDE11 found evidence for PDE11 expression in skeletal muscle, prostate, testis, and salivary glands; however, the tissue distribution of PDE11 still remains a topic of active study and some controversy. Given the sequence similarity between PDE11 and PDE5, several PDE5 inhibitors have been shown to cross-react with PDE11. Accordingly, many non-selective inhibitors, such as IBMX, zaprinast, sildenafil, and dipyridamole, have been documented to inhibit PDE11. Only recently, a series of dihydrothieno[3,2-d]pyrimidin-4(3H)-one derivatives proved to be selective toward the PDE11 isoform. In the absence of experimental data about PDE11 X-ray structures, we found interesting to gain a better understanding of the enzyme-inhibitor interactions using in silico simulations. In this work, we describe a computational approach based on homology modeling, docking, and molecular dynamics simulation to derive a predictive 3D model of PDE11. Using a Graphical Processing Unit architecture, it is possible to perform long simulations, find stable interactions involved in the complex, and finally to suggest guideline for the identification and synthesis of potent and selective inhibitors.
SN - 1747-0285
UR - https://www.unboundmedicine.com/medline/citation/23865680/Homology_modeling_docking_studies_and_molecular_dynamic_simulations_using_graphical_processing_unit_architecture_to_probe_the_type_11_phosphodiesterase_catalytic_site:_a_computational_approach_for_the_rational_design_of_selective_inhibitors_
DB - PRIME
DP - Unbound Medicine
ER -