{"title":"更正：QuanDB：加强三维分子表征学习的量子化学特性数据库","authors":"Zhijiang Yang, Tengxin Huang, Li Pan, Jingjing Wang, Liangliang Wang, Junjie Ding, Junhua Xiao","doi":"10.1186/s13321-024-00864-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":617,"journal":{"name":"Journal of Cheminformatics","volume":"16 1","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jcheminf.biomedcentral.com/counter/pdf/10.1186/s13321-024-00864-7","citationCount":"0","resultStr":"{\"title\":\"Correction: QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning\",\"authors\":\"Zhijiang Yang, Tengxin Huang, Li Pan, Jingjing Wang, Liangliang Wang, Junjie Ding, Junhua Xiao\",\"doi\":\"10.1186/s13321-024-00864-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":617,\"journal\":{\"name\":\"Journal of Cheminformatics\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2024-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://jcheminf.biomedcentral.com/counter/pdf/10.1186/s13321-024-00864-7\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cheminformatics\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s13321-024-00864-7\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cheminformatics","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1186/s13321-024-00864-7","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
更正：Journal of Cheminformatics (2024) 16:48 https://doi.org/10.1186/s13321-024-00843-yFollowing 原文[1]发表后，作者发现一处格式错误。摘要中的"......计算成本超过 107 个核心小时 "应改为"......计算成本超过 107 个核心小时"。结论部分的"......总计算成本超过 107 个核心小时 "应改为"......总计算成本超过 107 个核心小时"。Yang Z, Huang T, Pan L, Wang J, Wang L, Ding J, Xiao J (2024) QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning.J Cheminform.16:48Article CAS PubMed PubMed Central Google Scholar Download references作者及单位中华人民共和国，北京，民用核生化防护国家重点实验室Zhijiang Yang, Tengxin Huang, Li Pan, Jingjing Wang, Liangliang Wang, Junjie Ding &；肖俊华作者：杨之江查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者黄腾新查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者潘莉查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者王晶晶查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者王亮亮查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者丁俊杰查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者肖俊华查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者通讯作者：王亮亮、丁俊杰或肖君华。开放获取本文采用知识共享署名 4.0 国际许可协议进行许可，该协议允许以任何媒介或格式使用、共享、改编、分发和复制，只要您适当注明原作者和来源，提供知识共享许可协议的链接，并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中，除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中，且您打算使用的材料不符合法律规定或超出许可使用范围，则您需要直接从版权所有者处获得许可。要查看该许可的副本，请访问 http://creativecommons.org/licenses/by/4.0/。除非在数据的信用行中另有说明，否则创作共用公共领域专用免责声明 (http://creativecommons.org/publicdomain/zero/1.0/) 适用于本文提供的数据。转载与许可引用本文Yang, Z., Huang, T., Pan, L. et al. Correction：QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning.J Cheminform 16, 68 (2024). https://doi.org/10.1186/s13321-024-00864-7Download citationPublished: 11 June 2024DOI: https://doi.org/10.1186/s13321-024-00864-7Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative
期刊介绍：
Journal of Cheminformatics is an open access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling.
Coverage includes, but is not limited to:
chemical information systems, software and databases, and molecular modelling,
chemical structure representations and their use in structure, substructure, and similarity searching of chemical substance and chemical reaction databases,
computer and molecular graphics, computer-aided molecular design, expert systems, QSAR, and data mining techniques.
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