Cargando…
FINDSITE(LHM): A Threading-Based Approach to Ligand Homology Modeling
Ligand virtual screening is a widely used tool to assist in new pharmaceutical discovery. In practice, virtual screening approaches have a number of limitations, and the development of new methodologies is required. Previously, we showed that remotely related proteins identified by threading often s...
Autores principales: | Brylinski, Michal, Skolnick, Jeffrey |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685473/ https://www.ncbi.nlm.nih.gov/pubmed/19503616 http://dx.doi.org/10.1371/journal.pcbi.1000405 |
Ejemplares similares
-
Experimental validation of FINDSITE(comb) virtual ligand screening results for eight proteins yields novel nanomolar and micromolar binders
por: Srinivasan, Bharath, et al.
Publicado: (2014) -
eThread: A Highly Optimized Machine Learning-Based Approach to Meta-Threading and the Modeling of Protein Tertiary Structures
por: Brylinski, Michal, et al.
Publicado: (2012) -
Unleashing the power of meta-threading for evolution/structure-based function inference of proteins
por: Brylinski, Michal
Publicado: (2013) -
A Threading-Based Method for the Prediction of DNA-Binding Proteins with Application to the Human Genome
por: Gao, Mu, et al.
Publicado: (2009) -
Low-homology protein threading
por: Peng, Jian, et al.
Publicado: (2010)