Editorial: The Journal of Molecular Recognition: Changing of the guard

IF 2.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Recognition Pub Date : 2024-03-11 DOI:10.1002/jmr.3081
Rebecca C. Wade
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Abstract

At the beginning of 2024, I took over from Marc van Regenmortel as the third Editor-in-Chief of JMR. The journal was established by Irwin Chaiken in 1988 with affiliation to the International Society for Molecular Recognition (ismr.org) and with a strong focus on methods to measure affinity. Presciently, and quite unusually, the journal was founded to focus on a phenomenon—molecular recognition—and it is a phenomenon that is central to biomolecular science. This has enabled the content of the journal to evolve over time as new techniques, ideas, and applications have emerged. In 1999, Marc van Regenmortel became Editor-in-Chief, introduced new types of articles, and broadened the scope of the journal. For example, the series of comprehensive critical reviews on methods, such as surface plasmon resonance, isothermal calorimetry, and molecular docking, were particularly well read. We, the editors and advisory board members, thank him for his vision, inspiration, dedication, and hard work in successfully steering the journal over the last 25 years. He leaves the journal on solid foundations, publishing on a broad range of molecular recognition topics. Marc sought to make the journal, not only THE place to publish high-quality research on molecular recognition but also a venue for discussion on concepts and controversial issues relating to molecular recognition. We will continue to pursue these aims. For this purpose, we are introducing an additional article category called “Perspective” for short articles with commentaries, discussions, or reviews on current topics. The first two Perspectives are on Marc's contributions to science and the scientific community1, 2 and highly recommended reading. We will also aim to nurture the broad community of molecular recognition researchers, for example, through awards at conferences and with the establishment of a new Early Career Advisory Board for the journal.

Now is an appropriate time for JMR to enter into its third epoch. The growing prominence of computational science and the dramatic advances in artificial intelligence are changing how research into molecular recognition is done. This is reflected in the appointment of a theoretical and computational scientist at the helm of JMR. Moreover, the panel of Associate Editors includes two theoreticians as well as other scientists who combine computation with their experimental work. We will be looking to see how artificial intelligence and data science complement our existent methodological toolbox to accelerate molecular recognition research and enable the discovery of new molecules, new binding mechanisms, and new conceptual insights. However, in all the excitement over the new possibilities that such approaches bring, it is important to ensure that computational and machine learning tools and techniques are applied rigorously and carefully, with experimental validation whenever possible. Moreover, we expect that AI will be a driver for advancing experimental techniques, for example, through laboratory robotics and nanoscale instruments, for studying molecular recognition phenomena. In this light, we encourage all potential authors to read our revised “Aims and Scope.” We anticipate exciting times for molecular recognition research and aim to engage with our authors and readership to reflect this in the Journal of Molecular Recognition!

Rebecca C. Wade: conceptualization and writing.

The author declares no conflicts of interest.

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社论:分子识别杂志》:新老交替。
2024 年初,我接替马克-范-雷根莫特尔(Marc van Regenmortel)成为 JMR 的第三任主编。该期刊由 Irwin Chaiken 于 1988 年创办,隶属于国际分子识别学会(ismr.org),主要关注亲和力的测量方法。很有先见之明,也很不寻常的是,该期刊的创办是为了关注一种现象--分子识别,而这种现象正是生物分子科学的核心。因此,随着新技术、新理念和新应用的出现,该杂志的内容也在不断发展。1999 年,Marc van Regenmortel 成为主编,引入了新的文章类型,并扩大了期刊的范围。例如,关于表面等离子体共振、等温量热法和分子对接等方法的一系列综合评论文章尤其受到读者的欢迎。我们编辑和顾问委员会成员感谢他的远见卓识、灵感、奉献和辛勤工作,在过去 25 年里成功地指导了期刊的发展。他为期刊留下了坚实的基础,发表了广泛的分子识别主题文章。马克力图使该刊不仅成为发表高质量分子识别研究成果的地方,而且成为讨论分子识别相关概念和争议问题的场所。我们将继续努力实现这些目标。为此,我们增设了一个名为 "视角 "的文章类别,用于发表对当前主题进行评论、讨论或综述的短文。前两期 "视角 "介绍了马克对科学和科学界的贡献1, 2 ,强烈推荐阅读。我们还将致力于培养广大的分子识别研究人员,例如,通过在会议上颁发奖项和为杂志成立新的早期职业顾问委员会。计算科学的日益突出和人工智能的巨大进步正在改变分子识别研究的方式。任命一位理论和计算科学家担任 JMR 的负责人就反映了这一点。此外,副主编小组还包括两名理论家以及其他将计算与实验工作相结合的科学家。我们将关注人工智能和数据科学如何补充我们现有的方法工具箱,以加速分子识别研究,并促成新分子、新结合机制和新概念见解的发现。然而,在对这些方法带来的新可能性感到兴奋的同时,必须确保计算和机器学习工具和技术得到严格和谨慎的应用,并尽可能进行实验验证。此外,我们希望人工智能能够推动实验技术的发展,例如通过实验室机器人技术和纳米级仪器来研究分子识别现象。有鉴于此,我们鼓励所有潜在作者阅读我们修订后的 "目标与范围"。我们预计分子识别研究将迎来激动人心的时刻,并将与我们的作者和读者一起,在《分子识别学报》中反映这一点!Rebecca C. Wade:构思与写作。作者声明无利益冲突。
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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来源期刊
Journal of Molecular Recognition
Journal of Molecular Recognition 生物-生化与分子生物学
CiteScore
4.60
自引率
3.70%
发文量
68
审稿时长
2.7 months
期刊介绍: Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches. The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.
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