Pharmacological Research - Natural Products
Volume 4 • Issue 4
- ISSN: 2950-1997
Editor-In-Chief: Daniela Cabrini
Pharmacological Research - Natural Products (PRENAP) publishes original, replications (if relevant for the scientific community), and follow-up studies, as well as scope and syste… Read more
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Request a sales quotePharmacological Research - Natural Products (PRENAP) publishes original, replications (if relevant for the scientific community), and follow-up studies, as well as scope and systematic reviews and meta-analysis, of the pharmacological and toxicological properties of extracts and single molecules of natural origin, either isolated or synthesized, and its derivatives. PRENAP also welcomes pre-registration (phase-I) and phase-II registered reports in the field.
The journal scope covers all fields of pharmacology and toxicology (experimental and clinical), pharmacognosy, ethnopharmacology, and phytochemistry of natural products.
PRENAP is a sound-science journal, therefore novelty and perceived impact will not be considered in the evaluation process. However, the journal will focus on quality studies that advance our knowledge and will take measures to guarantee the replicability of the published material. Therefore, all natural extracts must be quantitatively characterized (minimum requirement is HPLC-MS) and included in the submission, either in the main text or supplemental material. The plants used must be identified in The Plant List, and a sample deposited in the hosting institution. The same procedures apply for products of other origin (animal, fungal, bacterial, etc), which must be identified and deposited properly. Studies employing human subjects or experimental animals must include the approval of institutional or national ethics committees, with process/protocol numbers, or a justification for not doing so.
Reporting of experiments involving animals must comply to the ARRIVE guidelines. Experiments involving humans (patients or healthy volunteers) must be registered as clinical trial. All experimental dataset and code used in the articles must be made available in open repositories (such as Zenodo, FigShare, Mendeley Data, Data in Brief, etc.) upon submission, and a DOI number must be included in the accepted manuscripts, or a justification for not doing so must be provided. Appropriate statistical analysis must be included, consisting of main-effect parameters, number of biological units, replicas, and post hoc test from initial submission.
- ISSN: 2950-1997
- Volume 4
- Issue 4