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扩展化学信息科学网关。

Expanding the Chemical Information Science gateway.

机构信息

DIFACQUIM research group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.

出版信息

F1000Res. 2021 Apr 16;10. doi: 10.12688/f1000research.52192.1. eCollection 2021.

Abstract

As chemical information evolves, impacting many chemistry areas, effective ways to disseminate results by the scientific community are also changing. Thus, publication schemes adapt to meet the needs of researchers across disciplines to share high-quality data, information, and knowledge. Since 2015, the F1000Research Chemical Information Science (CIS) gateway has offered an open and unique model to disseminate science at the interface of chemoinformatics, bioinformatics, and several other informatic-related disciplines. In response to the evolution of chemical information science, the F1000Research CIS gateway has incorporated new members to the advisory board. It is also reinforcing and expanding the gateway areas with a particular focus on machine learning and metabolomics. The range of available article types, availability of data, exposure within complementary multidisciplinary F1000Research gateways, and indexing in major bibliographic databases increases the visibility of all contributions. As part of progressing open science in this field, we look forward to your high-quality contributions to the CIS gateway.

摘要

随着化学信息的发展,影响到许多化学领域,科学界传播研究成果的有效方式也在发生变化。因此,出版方案也在不断调整,以满足跨学科研究人员分享高质量数据、信息和知识的需求。自 2015 年以来,F1000Research 化学信息科学(CIS)网关提供了一个开放且独特的模型,用于传播化学生物信息学、生物信息学和其他几个相关信息学领域的交叉科学。为了应对化学信息科学的发展,F1000Research CIS 网关已经为顾问委员会吸纳了新成员。它还在加强和扩展网关领域,特别关注机器学习和代谢组学。可用文章类型的范围、数据的可用性、在互补的多学科 F1000Research 网关中的曝光率以及在主要书目数据库中的索引都提高了所有贡献的可见度。作为推进该领域开放科学的一部分,我们期待您为 CIS 网关提供高质量的贡献。

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Deep Learning in Chemistry.深度学习在化学中的应用。
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