ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks

This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The new model is able to predict complex networks of AIDS prevalence in the US counties, taking...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of chemical information and modeling 2014-03, Vol.54 (3), p.744-755
Hauptverfasser:	González-Díaz, Humberto, Herrera-Ibatá, Diana María, Duardo-Sánchez, Aliuska, Munteanu, Cristian R, Orbegozo-Medina, Ricardo Alfredo, Pazos, Alejandro
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome Acquired Immunodeficiency Syndrome - drug therapy Acquired Immunodeficiency Syndrome - epidemiology AIDS Algorithms Animals Anti-HIV Agents - chemistry Anti-HIV Agents - therapeutic use Biochemistry Databases, Factual Drug Evaluation, Preclinical HIV HIV - drug effects HIV - isolation & purification Human immunodeficiency virus Humans Models, Statistical Neural networks Neural Networks (Computer) Pharmacology Prevalence Social Support United States - epidemiology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!