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SAMPL7 blind predictions using nonequilibrium alchemical approaches.
Procacci, Piero; Guarnieri, Guido.
Afiliación
  • Procacci P; University of Florence, Department of Chemistry, Via Lastruccia n. 3, 50019, Sesto Fiorentino, FI, Italy. procacci@unifi.it.
  • Guarnieri G; ENEA, Portici Research Centre, DTE-ICT-HPC, P.le E. Fermi, 1, 80055, Portici, NA, Italy.
J Comput Aided Mol Des ; 35(1): 37-47, 2021 01.
Article en En | MEDLINE | ID: mdl-33392950
ABSTRACT
In the context of the SAMPL7 challenge, we computed, employing a non-equilibrium (NE) alchemical technique, the standard binding free energy of two series of host-guest systems, involving as a host the Isaac's TrimerTrip, a Cucurbituril-like open cavitand, and the Gilson's Cyclodextrin derivatives. The adopted NE alchemy combines enhanced sampling molecular dynamics simulations with driven fast out-of-equilibrium alchemical trajectories to recover the free energy via the Jarzynski and Crooks NE theorems. The GAFF2 non-polarizable force field was used for the parametrization. Performances were acceptable and similar in accuracy to those we submitted for Gibb's Deep Cavity Cavitands in the previous SAMPL6 host-guest challenge, confirming the reliability of the computational approach and exposing, in some cases, some important deficiencies of the GAFF2 non-polarizable force field.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Receptores de Droga / Termodinámica / Algoritmos / Programas Informáticos / Preparaciones Farmacéuticas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Comput Aided Mol Des Asunto de la revista: BIOLOGIA MOLECULAR / ENGENHARIA BIOMEDICA Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Receptores de Droga / Termodinámica / Algoritmos / Programas Informáticos / Preparaciones Farmacéuticas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Comput Aided Mol Des Asunto de la revista: BIOLOGIA MOLECULAR / ENGENHARIA BIOMEDICA Año: 2021 Tipo del documento: Article País de afiliación: Italia
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