Structure-Based Virtual Screening with Supervised Consensus Scoring: Evaluation of Pose Prediction and Enrichment Factors

2008 ◽  
Vol 48 (4) ◽  
pp. 747-754 ◽  
Author(s):  
Reiji Teramoto ◽  
Hiroaki Fukunishi
Keyword(s):  
Virtual Screening ◽  
Enrichment Factors ◽  
Pose Prediction ◽  
Consensus Scoring

scholarly journals CompScore: Boosting Structure-Based Virtual Screening Performance by Incorporating Docking Scoring Function Components into Consensus Scoring

2019 ◽  
Vol 59 (9) ◽  
pp. 3655-3666 ◽  
Author(s):  
Yunierkis Perez-Castillo ◽  
Stellamaris Sotomayor-Burneo ◽  
Karina Jimenes-Vargas ◽  
Mario Gonzalez-Rodriguez ◽  
Maykel Cruz-Monteagudo ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Scoring Function ◽  
Screening Performance ◽  
Consensus Scoring ◽  
Virtual Screening Performance

scholarly journals Consensus Scoring Criteria for Improving Enrichment in Virtual Screening

2005 ◽  
Vol 45 (4) ◽  
pp. 1134-1146 ◽  
Author(s):  
Jinn-Moon Yang ◽  
Yen-Fu Chen ◽  
Tsai-Wei Shen ◽  
Bruce S. Kristal ◽  
D. Frank Hsu
Keyword(s):  
Virtual Screening ◽  
Consensus Scoring

scholarly journals Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening

2017 ◽  
Vol 57 (7) ◽  
pp. 1579-1590 ◽  
Author(s):  
Spencer S. Ericksen ◽  
Haozhen Wu ◽  
Huikun Zhang ◽  
Lauren A. Michael ◽  
Michael A. Newton ◽  
...  
Keyword(s):  
Machine Learning ◽  
Virtual Screening ◽  
Consensus Scoring

scholarly journals Improving Reliability of the Virtual Screening Process for Human Dihydroorotate Dehydrogenase Enzyme by Combination of the Ensemble and Consensus Docking Approaches

2021 ◽  
Author(s):  
Garri Chilingaryan ◽  
Narek Abelyan ◽  
Arsen Sargsyan ◽  
Karen Nazaryan ◽  
Andre Serobian ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Early Recognition ◽  
Dihydroorotate Dehydrogenase ◽  
Screening Process ◽  
Benchmark Study ◽  
Whole Process ◽  
Structural Conformation ◽  
Dehydrogenase Enzyme ◽  
Key Enzyme ◽  
Consensus Scoring

Abstract The inconsistencies in the performance of the virtual screening (VS) process, depending on the used software and structural conformation of the protein, is a challenging issue in the drug design and discovery field. Varying performance, especially in terms of early recognition of the potential hit compounds, negatively affects the whole process and leads to unnecessary waste of the time and resources. Appropriate application of the ensemble docking and consensus-scoring approaches can significantly increase reliability of the VS results. Dihydroorotate dehydrogenase (DHODH) is a key enzyme in the pyrimidine biosynthesis pathway. It is considered as a valuable therapeutic target in cancer, autoimmune and viral diseases. Based on the conducted benchmark study and analysis of the effect of different combinations of the applied methods and approaches, here we suggested a structure-based virtual screening (SBVS) workflow that can be used to increase the reliability of VS.

Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy

2009 ◽  
Vol 49 (6) ◽  
pp. 1455-1474 ◽  
Author(s):  
Jason B. Cross ◽  
David C. Thompson ◽  
Brajesh K. Rai ◽  
J. Christian Baber ◽  
Kristi Yi Fan ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Pose Prediction ◽  
Screening Accuracy
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