Cargando…
Conserved Water Networks Identification for Drug Design Using Density Clustering Approaches on Positional and Orientational Data
[Image: see text] This work describes the development and testing of a method for the identification and classification of conserved water molecules and their networks from molecular dynamics (MD) simulations. The conserved waters in the active sites of proteins influence protein–ligand binding. Rec...
Autores principales: | Tošović, Jelena, Fijan, Domagoj, Jukič, Marko, Bren, Urban |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749026/ https://www.ncbi.nlm.nih.gov/pubmed/36351288 http://dx.doi.org/10.1021/acs.jcim.2c00801 |
Ejemplares similares
-
ProBiS H2O MD Approach for Identification of Conserved
Water Sites in Protein Structures for Drug Design‡
por: Jukič, Marko, et al.
Publicado: (2020) -
Machine Learning in Antibacterial Drug Design
por: Jukič, Marko, et al.
Publicado: (2022) -
Antioxidative Action of Ellagic Acid—A Kinetic DFT Study
por: Tošović, Jelena, et al.
Publicado: (2020) -
Dependence of the Fe(II)-Gallic Acid Coordination Compound Formation Constant on the pH
por: Frešer, Franjo, et al.
Publicado: (2021) -
Commercial SARS-CoV-2 Targeted, Protease Inhibitor Focused and Protein–Protein Interaction Inhibitor Focused Molecular Libraries for Virtual Screening and Drug Design
por: Kralj, Sebastjan, et al.
Publicado: (2021)