Cargando…
Activity landscape image analysis using convolutional neural networks
Activity landscapes (ALs) are graphical representations that combine compound similarity and activity data. ALs are constructed for visualizing local and global structure–activity relationships (SARs) contained in compound data sets. Three-dimensional (3D) ALs are reminiscent of geographical maps wh...
Autores principales: | Iqbal, Javed, Vogt, Martin, Bajorath, Jürgen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236149/ https://www.ncbi.nlm.nih.gov/pubmed/33431003 http://dx.doi.org/10.1186/s13321-020-00436-5 |
Ejemplares similares
-
Prediction of activity cliffs on the basis of images using convolutional neural networks
por: Iqbal, Javed, et al.
Publicado: (2021) -
Computational Method for Quantitative Comparison of Activity Landscapes on the Basis of Image Data
por: Iqbal, Javed, et al.
Publicado: (2020) -
Quantitative Comparison of Three-Dimensional Activity
Landscapes of Compound Data Sets Based upon Topological Features
por: Iqbal, Javed, et al.
Publicado: (2020) -
Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks
por: Kanev, Georgi K., et al.
Publicado: (2023) -
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
por: Iqbal, Saeed, et al.
Publicado: (2023)