MOTIVATION: High-throughput phenotypic assays reveal information about the molecules that modulate biological processes such as a disease phenotype and a signaling pathway. In these assays, the identification of hits along with their molecular targets is critical to understand the chemical activities modulating the biological system. Here, we present HitPick, a web server for identification of hits in high-throughput chemical screenings and prediction of their molecular targets. HitPick applies the B-score method for hit identification and a newly developed approach combining 1-Nearest-Neighbour (1NN) similarity searching and Laplacian-modified naïve Bayesian target models to predict targets of identified hits. The performance of the H...
Target identification is one of the most critical steps following cell-based phenotypic chemical scr...
<div>Here we report PPB2 as a target prediction tool assigning targets to a query molecule based on ...
Molecular target identification is of central importance to drug discovery. Here, we developed a com...
Assay interference caused by small molecules continues to pose a significant challenge for early dru...
Abstract Virtual screening (VS) aids in prioritizing unknown bio-interactions between compounds and ...
Recent technological advances in high-content screening instrumentation have increased its ease of u...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
BackgroundA number of algorithms have been proposed to predict the biological targets of diverse mol...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
Modern high-throughput screening (HTS) is a well-established approach for hit finding in drug discov...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
BackgroundA number of algorithms have been proposed to predict the biological targets of diverse mol...
In this study, two probabilistic machine-learning algorithms were compared for in silico target pred...
Recent technological advances in high-content screening instrumentation have increased its ease of u...
Target identification is one of the most critical steps following cell-based phenotypic chemical scr...
Target identification is one of the most critical steps following cell-based phenotypic chemical scr...
<div>Here we report PPB2 as a target prediction tool assigning targets to a query molecule based on ...
Molecular target identification is of central importance to drug discovery. Here, we developed a com...
Assay interference caused by small molecules continues to pose a significant challenge for early dru...
Abstract Virtual screening (VS) aids in prioritizing unknown bio-interactions between compounds and ...
Recent technological advances in high-content screening instrumentation have increased its ease of u...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
BackgroundA number of algorithms have been proposed to predict the biological targets of diverse mol...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
Modern high-throughput screening (HTS) is a well-established approach for hit finding in drug discov...
Many drug discovery programmes, particularly for infectious diseases, are conducted phenotypically. ...
BackgroundA number of algorithms have been proposed to predict the biological targets of diverse mol...
In this study, two probabilistic machine-learning algorithms were compared for in silico target pred...
Recent technological advances in high-content screening instrumentation have increased its ease of u...
Target identification is one of the most critical steps following cell-based phenotypic chemical scr...
Target identification is one of the most critical steps following cell-based phenotypic chemical scr...
<div>Here we report PPB2 as a target prediction tool assigning targets to a query molecule based on ...
Molecular target identification is of central importance to drug discovery. Here, we developed a com...