对 "基于序列和结构的蛋白质配体相互作用预测的机器学习 "的更正

IF 5.3 2区化学 Q1 CHEMISTRY, MEDICINAL

Journal of Chemical Information and Modeling Pub Date : 2024-09-27 DOI:10.1021/acs.jcim.4c0166210.1021/acs.jcim.4c01662

Yunjiang Zhang, Shuyuan Li, Kong Meng and Shaorui Sun*,

引用次数: 0

摘要

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 “Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction”

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来源期刊

Journal of Chemical Information and Modeling 化学-化学综合

CiteScore

9.80

自引率

10.70%

发文量

529

审稿时长

1.4 months

期刊介绍： The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.