Cargando…
Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA)
Computer-aided pattern analysis (C@PA) was recently presented as a powerful tool to predict multitarget ABC transporter inhibitors. The backbone of this computational methodology was the statistical analysis of frequently occurring molecular features amongst a fixed set of reported small-molecules t...
Autores principales: | Namasivayam, Vigneshwaran, Silbermann, Katja, Pahnke, Jens, Wiese, Michael, Stefan, Sven Marcel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193046/ https://www.ncbi.nlm.nih.gov/pubmed/34141145 http://dx.doi.org/10.1016/j.csbj.2021.05.018 |
Ejemplares similares
-
C@PA: Computer-Aided
Pattern Analysis to Predict Multitarget
ABC Transporter Inhibitors
por: Namasivayam, Vigneshwaran, et al.
Publicado: (2021) -
Structural feature-driven pattern analysis for multitarget modulator landscapes
por: Namasivayam, Vigneshwaran, et al.
Publicado: (2021) -
Binding mode analysis of ABCA7 for the prediction of novel Alzheimer's disease therapeutics
por: Namasivayam, Vigneshwaran, et al.
Publicado: (2021) -
HD_BPMDS: a curated binary pattern multitarget dataset of Huntington’s disease–targeting agents
por: Stefan, Sven Marcel, et al.
Publicado: (2023) -
A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors
por: Stefan, Sven Marcel, et al.
Publicado: (2022)