The use of high-throughput docking (HTD) in the drug discovery pipeline is today widely established. In spite of methodological improvements in docking accuracy (pose prediction), scoring power, ranking power, and screening power in HTD remain challenging. In fact, pose prediction is of critical importance in view of the pose-dependent scoring process, since incorrect poses will necessarily decrease the ranking power of scoring functions. The combination of results from different docking programs (consensus scoring) has been shown to improve the performance of HTD. Moreover, it has been also shown that a pose consensus approach might also result in database enrichment. We present a new methodology named Pose/Ranking Consensus (PRC) that com...
Molecular docking tools are regularly used to computationally identify new molecules in virtual scre...
Nowadays, molecular docking is the method of choice for investigating the molecular basis of recogni...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Structure-based virtual screening relies on scoring the predicted binding modes of compounds docked ...
Consensus-scoring methods are commonly used with molecular docking in virtual screening campaigns to...
Molecular docking strategy is one of the most wide used techniques for predicting the binding mode o...
Molecular docking strategies are one of the most widely used techniques for predicting the binding m...
Ligand-protein docking is one of the most common techniques used in virtual screening campaigns. Des...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
Virtual screening (VS) is a computational strategy that uses in silico automated protein docking int...
Background: Protein-protein docking, which aims to predict the structure of a protein-protein comple...
The development of open computational pipelines to accelerate the discovery of treatments for emergi...
Abstract Background In drug design, an efficient structure-based optimization of a ligand needs the ...
Molecular docking tools are regularly used to computationally identify new molecules in virtual scre...
Nowadays, molecular docking is the method of choice for investigating the molecular basis of recogni...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Structure-based virtual screening relies on scoring the predicted binding modes of compounds docked ...
Consensus-scoring methods are commonly used with molecular docking in virtual screening campaigns to...
Molecular docking strategy is one of the most wide used techniques for predicting the binding mode o...
Molecular docking strategies are one of the most widely used techniques for predicting the binding m...
Ligand-protein docking is one of the most common techniques used in virtual screening campaigns. Des...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
Virtual screening (VS) is a computational strategy that uses in silico automated protein docking int...
Background: Protein-protein docking, which aims to predict the structure of a protein-protein comple...
The development of open computational pipelines to accelerate the discovery of treatments for emergi...
Abstract Background In drug design, an efficient structure-based optimization of a ligand needs the ...
Molecular docking tools are regularly used to computationally identify new molecules in virtual scre...
Nowadays, molecular docking is the method of choice for investigating the molecular basis of recogni...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...