QSAR modeling: where have you been? Where are you going to?
J Med Chem
; 57(12): 4977-5010, 2014 Jun 26.
Article
en En
| MEDLINE
| ID: mdl-24351051
Quantitative structure-activity relationship modeling is one of the major computational tools employed in medicinal chemistry. However, throughout its entire history it has drawn both praise and criticism concerning its reliability, limitations, successes, and failures. In this paper, we discuss (i) the development and evolution of QSAR; (ii) the current trends, unsolved problems, and pressing challenges; and (iii) several novel and emerging applications of QSAR modeling. Throughout this discussion, we provide guidelines for QSAR development, validation, and application, which are summarized in best practices for building rigorously validated and externally predictive QSAR models. We hope that this Perspective will help communications between computational and experimental chemists toward collaborative development and use of QSAR models. We also believe that the guidelines presented here will help journal editors and reviewers apply more stringent scientific standards to manuscripts reporting new QSAR studies, as well as encourage the use of high quality, validated QSARs for regulatory decision making.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Diseño de Fármacos
/
Modelos Moleculares
/
Relación Estructura-Actividad Cuantitativa
Tipo de estudio:
Guideline
/
Prognostic_studies
/
Qualitative_research
Idioma:
En
Revista:
J Med Chem
Asunto de la revista:
QUIMICA
Año:
2014
Tipo del documento:
Article
País de afiliación:
Canadá
Pais de publicación:
Estados Unidos