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dc.contributor.author
Maguna, Fabiana Paola  
dc.contributor.author
Nuñez, María Beatriz  
dc.contributor.author
Okulik, Nora Beatriz  
dc.contributor.author
Castro, Eduardo Alberto  
dc.date.available
2018-09-18T19:31:10Z  
dc.date.issued
2008-08  
dc.identifier.citation
Maguna, Fabiana Paola; Nuñez, María Beatriz; Okulik, Nora Beatriz; Castro, Eduardo Alberto; Methodologies QSAR/QSPR/QSTR: Current state and perspectives; Nova Science Publishers, Inc.; International Journal of Chemical Modeling; 1; 2; 8-2008; 85-107  
dc.identifier.issn
1941-3955  
dc.identifier.uri
http://hdl.handle.net/11336/60124  
dc.description.abstract
The structure-properties relationships have since long been considered a vital component of drug discovery and development, providing significant insights into the role of molecular properties in the biological activity of similar and unrelated compounds. The objective of this article is to describe the concepts and theories that form the foundation of the traditional and contemporary approaches to QSAR/QSPR/QSTR modeling. Relevant descriptors, observations and examples are presented, pointing out problems that may be encountered, suggesting alternative ways for avoiding pitfalls, and citing pertinent references that should be consulted for more details on specific applications. Consideration of the concepts outlined in this paper may facilitate future advancement of these methodologies and encourage the participation of scientists not presently engaged in this line of research, which is by necessity multi-disciplinary in nature.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Nova Science Publishers, Inc.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Qsar  
dc.subject
Molecular Descriptors  
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3d-Molecular Analysis  
dc.subject
Drug Development  
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Receptor Binding  
dc.subject.classification
Otras Ciencias Químicas  
dc.subject.classification
Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Methodologies QSAR/QSPR/QSTR: Current state and perspectives  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-12T17:29:32Z  
dc.journal.volume
1  
dc.journal.number
2  
dc.journal.pagination
85-107  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
New York  
dc.description.fil
Fil: Maguna, Fabiana Paola. Universidad Nacional del Nordeste. Facultad de Agroindustrias; Argentina  
dc.description.fil
Fil: Nuñez, María Beatriz. Universidad Nacional del Nordeste. Facultad de Agroindustrias; Argentina  
dc.description.fil
Fil: Okulik, Nora Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Nordeste. Facultad de Agroindustrias; Argentina  
dc.description.fil
Fil: Castro, Eduardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina  
dc.journal.title
International Journal of Chemical Modeling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.novapublishers.com/catalog/product_info.php?products_id=16307