Ligand- and structure-based in silico studies to identify kinesin spindle protein (KSP) inhibitors as potential anticancer agents.
J Biomol Struct Dyn
; 36(14): 3687-3704, 2018 Nov.
Article
em En
| MEDLINE
| ID: mdl-29064326
Palavras-chave
3D, three-dimensional; ADP, adenosine diphosphate; AMBER, assisted model building with energy refinement; ATP, adenosine triphosphate; CB, chembridge; CDOCKER; CG, conjugate gradient; DS, discovery studio; GAFF, generalized amber force field; IBP, interaction-based pharmacophore model; KSP ATPase enzyme inhibition; KSP inhibitors; KSP, kinesin spindle protein; MB, maybridge; MD, molecular dynamics; MM/GBSA, molecular mechanics/generalized Born and surface area continuum solvation; MT, microtubule; PDB, protein data bank; RMSD, root mean square deviation; RMSF, root mean square fluctuations; RoG, radius of gyration; SASA, solvent accessible surface area; SD, steepest descent; molecular dynamics; pharmacophore modelling; vdW, van der Waals
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Cinesinas
/
Simulação de Dinâmica Molecular
/
Simulação de Acoplamento Molecular
/
Antineoplásicos
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Biomol Struct Dyn
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
África do Sul
País de publicação:
Reino Unido