Within the last few years a considerable amount of evaluative studies has been published that investigate the performance of 3D virtual screening approaches. Thereby, in particular …
Ligand docking is a widely used approach in virtual screening. In recent years a large number of publications have appeared in which docking tools are compared and evaluated …
KE Hevener, W Zhao, DM Ball… - Journal of chemical …, 2009 - ACS Publications
Dihydropteroate synthase (DHPS) is the target of the sulfonamide class of antibiotics and has been a validated antibacterial drug target for nearly 70 years. The sulfonamides target …
JF Truchon, CI Bayly - Journal of chemical information and …, 2007 - ACS Publications
Many metrics are currently used to evaluate the performance of ranking methods in virtual screening (VS), for instance, the area under the receiver operating characteristic curve …
Similarity-search methods using molecular fingerprints are an important tool for ligand- based virtual screening. A huge variety of fingerprints exist and their performance, usually …
JB Cross, DC Thompson, BK Rai… - Journal of chemical …, 2009 - ACS Publications
Molecular docking programs are widely used modeling tools for predicting ligand binding modes and structure based virtual screening. In this study, six molecular docking programs …
SG Rohrer, K Baumann - Journal of chemical information and …, 2009 - ACS Publications
Refined nearest neighbor analysis was recently introduced for the analysis of virtual screening benchmark data sets. It constitutes a technique from the field of spatial statistics …
RP Sheridan, SK Kearsley - Drug discovery today, 2002 - Elsevier
Computational tools to search chemical structure databases are essential to finding leads early in a drug discovery project. Similarity methods are among the most diverse and most …
A Varnek, I Baskin - Journal of chemical information and modeling, 2012 - ACS Publications
This paper is focused on modern approaches to machine learning, most of which are as yet used infrequently or not at all in chemoinformatics. Machine learning methods are …