As an extension of previous molecular modeling studies on nicotinic acetylcholine receptor (nAChR) ligands,[1] we now adopted the LIR (Linear Interaction Response) approach to reach a realistic compromise between accuracy and calculation rate, during the delta(G)bind value estimation of a training set of known agonists for the alpha7 nAChR subtype. The same strategy was applied to a text set of potential alpha7 nAChR agonists, which allowed identification of general structures A and B as the most promising ligands in the series. Thus, some of these derivatives were synthesized along with procedures previously utilized by us,[2] and were then assayed for binding affinity at alpha7 and alpha4beta2 nAChR subtypes. [1] Grazioso, G.; Cavalli, A.; De Amici, M.; Recanatini, M.; De Micheli, C. J. Comput. Chem. 2008, 29, 2593-2602. [2] Rizzi, L.; Dallanoce, C.; Matera, C.; Magrone, P.; Pucci, L.; Gotti, C.; Clementi, F.; De Amici, M. Bioorg. Med. Chem. Lett. 2008, 18, 4651-4654.

In silico design of agonists targeting the alpha7 nicotinic acetylcholine receptors, their synthesis and preliminary pharmacological evaluation / C. Matera, D.Y. Pomè, L. Pucci, C. Gotti, C.M.L. Dallanoce, G. Grazioso, M. De Amici - In: Atti del XXIII Congresso Nazionale della Società Chimica Italiana[s.l] : Società Chimica Italiana, 2009 Jul 08. - pp. 174-174 (( Intervento presentato al 23. convegno Congresso Nazionale della Società Chimica Italiana tenutosi a Sorrento nel 2009.

In silico design of agonists targeting the alpha7 nicotinic acetylcholine receptors, their synthesis and preliminary pharmacological evaluation

C. Matera
Primo
;
D.Y. Pomè
Secondo
;
L. Pucci;C.M.L. Dallanoce;G. Grazioso
Penultimo
;
M. De Amici
Ultimo
2009

Abstract

As an extension of previous molecular modeling studies on nicotinic acetylcholine receptor (nAChR) ligands,[1] we now adopted the LIR (Linear Interaction Response) approach to reach a realistic compromise between accuracy and calculation rate, during the delta(G)bind value estimation of a training set of known agonists for the alpha7 nAChR subtype. The same strategy was applied to a text set of potential alpha7 nAChR agonists, which allowed identification of general structures A and B as the most promising ligands in the series. Thus, some of these derivatives were synthesized along with procedures previously utilized by us,[2] and were then assayed for binding affinity at alpha7 and alpha4beta2 nAChR subtypes. [1] Grazioso, G.; Cavalli, A.; De Amici, M.; Recanatini, M.; De Micheli, C. J. Comput. Chem. 2008, 29, 2593-2602. [2] Rizzi, L.; Dallanoce, C.; Matera, C.; Magrone, P.; Pucci, L.; Gotti, C.; Clementi, F.; De Amici, M. Bioorg. Med. Chem. Lett. 2008, 18, 4651-4654.
in silico design; alpha7; nicotinic; cholinergic
Settore CHIM/08 - Chimica Farmaceutica
8-lug-2009
Società Chimica Italiana
Book Part (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/146618
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact