修正“使用随机森林改进经典评分函数：自由能项在约束中的贡献的非可加性”

IF 3.3 4区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Chemical Biology & Drug Design Pub Date : 2025-07-23 DOI:10.1111/cbdd.70159

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引用次数: 0

摘要

Karim Afifi, Ahmed Farouk Al-Sadek。用随机森林改进经典评分函数：自由能项在约束中的贡献的非加性。化学生物学&；药物设计，2018;92:1429-1434。https://doi.org/10.1111/cbdd.13206In这篇文章，Ahmed Farouk Al-Sadek的隶属关系被错误地提供为“埃及吉萨农业和土地复垦部农业专家系统中心实验室”。然而，它应该是“埃及吉萨农业研究中心（ARC）农业专家系统中央实验室”。作者对这个错误表示歉意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction to “Improving Classical Scoring Functions Using Random Forest: The Non-Additivity of Free Energy Terms’ Contributions in Binding”

Karim Afifi, Ahmed Farouk Al-Sadek. Improving classical scoring functions using random forest: The non-additivity of free energy terms’ contributions in binding. Chemical Biology & Drug Design. 2018;92: 1429-1434. https://doi.org/10.1111/cbdd.13206

In the article, Ahmed Farouk Al-Sadek's affiliation has been incorrectly provided as “Central Lab for Agricultural Experts Systems, Ministry of Agriculture and Land Reclamation, Giza, Egypt.” However, it should be “Central Lab for Agricultural Experts Systems, Agricultural Research Center (ARC), Giza, Egypt.”

The author apologizes for this error.

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来源期刊

Chemical Biology & Drug Design 医学-生化与分子生物学

CiteScore

5.10

自引率

3.30%

发文量

164

审稿时长

4.4 months

期刊介绍： Chemical Biology & Drug Design is a peer-reviewed scientific journal that is dedicated to the advancement of innovative science, technology and medicine with a focus on the multidisciplinary fields of chemical biology and drug design. It is the aim of Chemical Biology & Drug Design to capture significant research and drug discovery that highlights new concepts, insight and new findings within the scope of chemical biology and drug design.