Cargando…
Automatic Extraction of Nanoparticle Properties Using Natural Language Processing: NanoSifter an Application to Acquire PAMAM Dendrimer Properties
In this study, we demonstrate the use of natural language processing methods to extract, from nanomedicine literature, numeric values of biomedical property terms of poly(amidoamine) dendrimers. We have developed a method for extracting these values for properties taken from the NanoParticle Ontolog...
Autores principales: | Jones, David E., Igo, Sean, Hurdle, John, Facelli, Julio C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879259/ https://www.ncbi.nlm.nih.gov/pubmed/24392101 http://dx.doi.org/10.1371/journal.pone.0083932 |
Ejemplares similares
-
Predicting cytotoxicity of PAMAM dendrimers using molecular descriptors
por: Jones, David E, et al.
Publicado: (2015) -
Synthesis and Antimicrobial Properties of a Ciprofloxacin and PAMAM-dendrimer Conjugate
por: Svenningsen, Søren Wedel, et al.
Publicado: (2020) -
Molecular dynamics simulations in drug delivery research: Calcium chelation of G3.5 PAMAM dendrimers
por: Jones, David E., et al.
Publicado: (2016) -
PAMAM-Calix-Dendrimers: Second Generation Synthesis, Fluorescent Properties and Catecholamines Binding
por: Mostovaya, Olga, et al.
Publicado: (2022) -
Cinder-Bin and Sifter
Publicado: (1892)