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5、期刊刊期：月刊，一年出版12期。
2021年12月31日星期五
投稿须知【官网信息】
JOURNAL OF MOLECULAR RECOGNITION
Submission
Authors should kindly note that submission implies that the content has not been published or submitted for publication elsewhere except as a brief abstract in the proceedings of a scientific meeting or symposium.
New submissions should be made via the Research Exchange submission portal https://wiley.atyponrex.com/journal/JMR. Should your manuscript proceed to the revision stage, you will be directed to make your revisions via the same submission portal. You may check the status of your submission at anytime by logging on to submission.wiley.com and clicking the “My Submissions” button. For technical help with the submission system, please review our FAQs or contact submissionhelp@wiley.com..
Data protection
By submitting a manuscript to or reviewing for this publication, your name, email address, and affiliation, and other contact details the publication might require, will be used for the regular operations of the publication, including, when necessary, sharing with the publisher (Wiley) and partners for production and publication. The publication and the publisher recognize the importance of protecting the personal information collected from users in the operation of these services, and have practices in place to ensure that steps are taken to maintain the security, integrity, and privacy of the personal data collected and processed. You can learn more at https://authorservices.wiley.com/statements/data-protection-policy.html.
Preprint policy
This journal will consider for review articles previously available as preprints on non-commercial servers such as ArXiv, bioRxiv, psyArXiv, SocArXiv, engrXiv, etc. Authors may also post the submitted version of a manuscript to non-commercial servers at any time. Authors are requested to update any pre-publication versions with a link to the final published article.
For help with submissions, please contact: JMRoffice@wiley.com
Aims & Scope
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.
Typical techniques would include synthesis of topological mimics, site directed mutagenesis or molecular imprinting, together with biophysical methods for the quantitative measurement of molecular interactions. Specific methods such as AFM, Optical Tweezers, SPR, Biosensors and Microcalorimetry, and the range of analytical methods such as NMR, MRI, MS, GC, LC, HPLC, PET, and Crystallography may be used to establish the mechanisms, dynamics and forces of molecular recognition processes. Theoretical and Computational Methods aid the modeling, prediction, simulation and design of molecular recognition processes. Mechanistic understanding at a molecular level can be aided by computational approaches such as molecular electrostatic analysis, molecular dynamics simulations and free energy calculations.
Journal of Molecular Recognition publishes the best research presented at the AFM BioMed Conferences. For more information about this partnership, see here.
Manuscript Categories & Requirements
i. Research Articles
Page limit: Between 15 and 20 pages in length (double spaced), not including figures.
Abstract: 250 words maximum; unstructured
Manuscript Structure: Introduction, Methods, Results, Discussion, References
Description: Must either be of current general interest or of great significance to a more specialized readership, and report unpublished studies
ii. Reviews
Page limit: Maximum of 50 double-spaced pages of text, includes text, footnotes, literature citations, tables, and legends, plus formulas, schemes, and figures if included
Abstract: 250 words maximum; unstructured
Description: Topics of current interest in all relevant areas of molecular recognition, can be literature or technical reviews. Generally invited but can be unsolicited
iii. Letters to the Editor
Description: Short responses to published articles
Your main document file should include:
• A short informative title containing the major key words. The title should not contain abbreviations;
• The full names of the authors with institutional affiliations where the work was conducted, with a footnote for the author’s present address if different from where the work was conducted;
• Acknowledgments;
• Abstract structured (intro/methods/results/conclusion) or unstructured
• Up to ten keywords;
• Main body: formatted as introduction, materials & methods, results, discussion, conclusion
• References;
• Tables (each table complete with title and footnotes);
• Figures: Figure legends must be added beneath each individual image during upload AND as a complete list in the text.
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