对 "Cyanovirin-N 同源物的结构和功能分析：蓝藻肽的碳水化合物结合亲和力和抗病毒潜力" [J. Mol. Graph. Model. 129 (June 2024), 108718]。

IF 2.7 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of molecular graphics & modelling Pub Date : 2024-05-10 DOI:10.1016/j.jmgm.2024.108788

Gabriel Albuquerque Xavier, Alenna Sousa, Larissa Queiroz dos Santos, Délia Cristina Figueira Aguiar, Evonnildo Costa Gonçalves, Andrei Santos Siqueira

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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Corrigendum to “Structural and functional analysis of Cyanovirin-N homologs: Carbohydrate binding affinities and antiviral potential of cyanobacterial peptides” [J. Mol. Graph. Model. 129 (June 2024), 108718]

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来源期刊

Journal of molecular graphics & modelling 生物-计算机：跨学科应用

CiteScore

5.50

自引率

6.90%

发文量

216

审稿时长

35 days

期刊介绍： The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.