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Drugs and Drug Candidates is a peer-reviewed journal published by MDPI, covering Computational Drug Discovery Methods, Essential Oils and Antimicrobial Activity, Natural product bioactivities and synthesis. Over its lifetime it has published 199 papers, which have received 2,087 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Drugs and Drug Candidates 2023, 12, 45–58.
Formats any DOI in Drugs and Drug Candidates style. No sign-up. |
| Abbreviation (ISO-4) | Drugs Drug Candidates |
| Publishes research in | Computational Drug Discovery Methods Essential Oils and Antimicrobial Activity Natural product bioactivities and synthesis SARS-CoV-2 and COVID-19 Research Synthesis and biological activity |
| ISSN | 2813-2998 |
| Citation impact (2-yr) | 10.71 |
| h-index | 16 |
| i10-index | 28 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Universidade de São Paulo |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
For thousands of years, nature has been a source of medical substances, and an astounding numeral of contemporary remedies have been identified from natural origins. Plants have long been used as folk herbal medicines to treat various disorders, and their different natural products have inspired the design, discovery, and development of new drugs. With the…
Drug discovery and repositioning are important processes for the pharmaceutical industry. These processes demand a high investment in resources and are time-consuming. Several strategies have been used to address this problem, including computer-aided drug design (CADD). Among CADD approaches, it is essential to highlight virtual screening (VS), an in silico approach based on computer simulation…
The drug discovery and development process is very lengthy, highly expensive, and extremely complex in nature. Considering the time and cost constraints associated with conventional drug discovery, new methods must be found to enhance the declining efficiency of traditional approaches. Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides…
Background/Objectives: The interaction of bioactive compounds derived from plants with drugs has become a significant area of investigation due to its potential to improve, reduce, or have no effect on therapeutic outcomes. Due to the dual effect of these interactions, elucidating the underlying mechanisms is essential for establishing a therapeutic strategy. This study emphasizes the…
Green nanotechnology is a promising technology that has a wide range of applications in pharmaceuticals today because they offer a higher surface-area-to-volume ratio. Algal-based nanoparticles (NPs) are the subject of intense research interest today for their potential to treat and prevent infections caused by infectious microorganisms that are antibiotic resistant. Algae contain a variety of…
