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ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/10025839
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All of the individual docking results and ESSENCE-Dock consensus results for 21 diverse DUD-E targets as presented in the paper "ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery". Docking calculations were perfomed using: Metascreener (Gnina and LeadFinder Calculations; prefix VS_GN_ and VS_LF_ respectively) DiffDockHPC (DiffDock calculations; prefix VS_DD_ ) The consensus calculations were performed using ESSENCE-Dock, available via Metascreener. ESSENCE-Dock preprint:  https://doi.org/10.26434/chemrxiv-2023-21wtv  Paper Abstract Developing new drugs is an expensive and lengthy endeavor, partly due to the reliance on high-throughput screening (HTS), which involves significant costs and is time-consuming. Virtual screening, particularly molecular docking, offers a more cost-effective and faster alternative for identifying promising drug candidates. However, the effectiveness of molecular docking can vary greatly, which has led to the use of consensus docking approaches. These approaches combine results from different docking methods to improve the identification of active compounds and can reduce the occurrence of false positives. However, many of these methods do not fully leverage the latest advancements in docking technology. In response, we present ESSENCE-Dock (Effective Structural Screening ENrichment ConsEnsus Dock), a new consensus docking workflow aimed at decreasing false positives and increasing the discovery of active compounds. By utilizing a combination of novel docking algorithms, we improve the selection process for potential active compounds. ESSENCE-Dock has been made to be user-friendly, requiring only a few simple commands to perform a complete screening, while also being designed for use in high-performance computing (HPC) environments.
创建时间:
2023-11-14
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