Cargando…
Local Interaction Density (LID), a Fast and Efficient Tool to Prioritize Docking Poses
Ligand docking at a protein site can be improved by prioritizing poses by similarity to validated binding modes found in the crystal structures of ligand/protein complexes. The interactions formed in the predicted model are searched in each of the reference 3D structures, taken individually. We prop...
Autores principales: | Jacquemard, Célien, Tran-Nguyen, Viet-Khoa, Drwal, Malgorzata N., Rognan, Didier, Kellenberger, Esther |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681060/ https://www.ncbi.nlm.nih.gov/pubmed/31323745 http://dx.doi.org/10.3390/molecules24142610 |
Ejemplares similares
-
Binding mode information improves fragment docking
por: Jacquemard, Célien, et al.
Publicado: (2019) -
Modeling of CCR5 Recognition by HIV-1 gp120: How the Viral Protein Exploits the Conformational Plasticity of the Coreceptor
por: Jacquemard, Célien, et al.
Publicado: (2021) -
Benchmarking Data Sets from PubChem BioAssay Data: Current Scenario and Room for Improvement
por: Tran-Nguyen, Viet-Khoa, et al.
Publicado: (2020) -
sc-PDB: a 3D-database of ligandable binding sites—10 years on
por: Desaphy, Jérémy, et al.
Publicado: (2014) -
Markov models of the apo-MDM2 lid region reveal diffuse yet two-state binding dynamics and receptor poses for computational docking
por: Mukherjee, Sudipto, et al.
Publicado: (2016)