码头
虚拟筛选
对接(动物)
计算机科学
工作流程
假阳性悖论
药物发现
杠杆(统计)
计算生物学
机器学习
工程类
生物信息学
数据库
生物
医学
护理部
海洋工程
作者
Jochem Nelen,Miguel Carmena‐Bargueño,Carlos Martínez-Cortés,Alejandro Rodríguez-Martínez,José Manuel Villalgordo-Soto,Horacio Pérez‐Sánchez
标识
DOI:10.26434/chemrxiv-2023-21wtv
摘要
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.
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