Efforts toward improving the predictiveness in tier-based approaches to virtual screening (VS) have mainly focused on protein kinases. Despite their significance as drug targets, small molecule kinases have been rarely tested with these approaches. In this paper, we investigate the efficacy of a pharmacophore screening-combined structure-based docking approach on the human inducible 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase, an emerging target for cancer chemotherapy. Six out of a total 1364 compounds from NCI\u27s Diversity Set II were selected as true actives via throughput screening. Using a database constructed from these compounds, five programs were tested for structure-based docking (SBD) performance, the MOE of which show...
Kinase-targeted drug design is challenging. It requires designing inhibitors that can bind to specif...
[[abstract]]Efficiency virtual high-throughput screening (vHTS) is an important manner to screen hit...
Protein kinases are clinically relevant and attractive drug targets for most of the cancerous diseas...
Kinases are phosphate catalysing enzymes that have traditionally proved difficult to target against ...
Computational docking as a means to prioritise small molecules in drug discovery projects remains a ...
Computational methods involving virtual screening could potentially be employed to discover new biom...
At present, the combination of high drug development costs and external pressure to lower consumer p...
Owing to the intrinsic polypharmacological nature of most small-molecule kinase inhibitors, there is...
Computational methods involving virtual screening could potentially be employed to discover new biom...
The scope of this work focuses on computationally modeling compounds with protein structures. While...
Abstract Background The current chemical space of known small molecules is estimated to exceed 1060 ...
Abstract: Structure-based drug discovery (SBDD) is becoming an essential tool in assisting fast and ...
SummarySelective protein kinase inhibitors have only been developed against a small number of kinase...
Reliable in silico prediction methods promise many advantages over experimental high-throughput scre...
High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug devel...
Kinase-targeted drug design is challenging. It requires designing inhibitors that can bind to specif...
[[abstract]]Efficiency virtual high-throughput screening (vHTS) is an important manner to screen hit...
Protein kinases are clinically relevant and attractive drug targets for most of the cancerous diseas...
Kinases are phosphate catalysing enzymes that have traditionally proved difficult to target against ...
Computational docking as a means to prioritise small molecules in drug discovery projects remains a ...
Computational methods involving virtual screening could potentially be employed to discover new biom...
At present, the combination of high drug development costs and external pressure to lower consumer p...
Owing to the intrinsic polypharmacological nature of most small-molecule kinase inhibitors, there is...
Computational methods involving virtual screening could potentially be employed to discover new biom...
The scope of this work focuses on computationally modeling compounds with protein structures. While...
Abstract Background The current chemical space of known small molecules is estimated to exceed 1060 ...
Abstract: Structure-based drug discovery (SBDD) is becoming an essential tool in assisting fast and ...
SummarySelective protein kinase inhibitors have only been developed against a small number of kinase...
Reliable in silico prediction methods promise many advantages over experimental high-throughput scre...
High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug devel...
Kinase-targeted drug design is challenging. It requires designing inhibitors that can bind to specif...
[[abstract]]Efficiency virtual high-throughput screening (vHTS) is an important manner to screen hit...
Protein kinases are clinically relevant and attractive drug targets for most of the cancerous diseas...