SimiCon statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool SimiCon
info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Protein-ligand docking chevron_right
Want to access the full stats & trends on this tool?

SimiCon specifications

Information


Unique identifier OMICS_08562
Name SimiCon
Interface Web user interface
Restrictions to use None
Input data PDB IDs, chain and ligand names
Computer skills Basic
Stability No
Maintained No

Publication for SimiCon

SimiCon citation

library_books

Assessment and Challenges of Ligand Docking into Comparative Models of G Protein Coupled Receptors

2013
PLoS One
PMCID: 3699586
PMID: 23844000
DOI: 10.1371/journal.pone.0067302

[…] e largest clusters were chosen for further analysis. The coverage and accuracy of correct ligand-receptor contacts compared to the experimental structure was calculated on the top ranked models using SimiCon . Contact coverage is calculated as the number of correct ligand contacts from the model divided by the total number of ligand contacts made in the experimental structure. Accuracy of correct […]


Want to access the full list of citations?
SimiCon institution(s)
UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA

SimiCon reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review SimiCon