This annual series presents new drugs and biologics that were launched or approved for the first time during the previous year. In 2006, 41 new medicines--this figure includes both drugs and biologics for therapeutic use as well as new diagnostic agents and, for the first time this year, an important new herbal medicine--reached their first markets. Drug repositioning continues to have a significant impact, with line extensions (new indications, new formulations and new combinations of previously marketed products) accounting for more than 20 of the new medicines launched in 2006. This year's edition of the article also includes several new features: a deeper insight into the five first-in-class drugs launched for the first time last year, providing a better understanding of their novel mechanisms of action; an analysis of the discovery and development periods for the year's new products; a comprehensive overview of drug repositioning as a strategy for extending the life spans of medicines; and an analysis of the market for these new medicines. New generic drug approvals are also reviewed, as well as a brief glimpse at selected drugs and biologics which could reach their first markets in the foreseeable future.
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Discov Oncol
January 2025
School of Rehabilitation Medicine and Health Care, Hunan University of Medicine, No. 492 Jinxi South Road, Huaihua, 418000, China.
Background: Prostate cancer (PCa) ranks as the second most common disease among men and the fourth most prevalent cancer worldwide. Enhanced glycolysis and excessive lactate secretion are recognized as critical factors driving the progression of various cancers. This study systematically investigated the research trends associated with glycolysis in PCa through bibliometric analysis.
View Article and Find Full Text PDFNeurochem Res
January 2025
Department of Biochemistry and Molecular Biology, Federal University of Santa Maria (UFSM), Santa Maria, RS, Brazil.
Purinergic signaling plays a major role in aging and neurodegenerative diseases, which are associated with memory decline. Blackcurrant (BC), an anthocyanin-rich berry, is renowned for its antioxidant and neuroprotective activities. However, evidence on the effects of BC on purinergic signaling is lacking.
View Article and Find Full Text PDFCell Death Discov
January 2025
The Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, 2660 Oak Street, Vancouver, BC, V6H 3Z6, Canada.
Lin28 is a key regulator of cancer stem cell gene network that promotes therapy-resistant tumor progression in various tumors. However, no Lin28 inhibitor has been approved to treat cancer patients, urging exploration of novel compounds as candidates to be tested for clinical trials. In this contribution, we applied computer-aided drug design (CADD) in combination with quantitative biochemical and biological assays.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Agrobiosciences Laboratory, College of Agriculture and Environmental Sciences, Mohammed VI Polytechnic University, Ben Guerir, Morocco.
Drought is a significant environmental stressor that induces changes in the physiological, morphological, biochemical, and molecular traits of plants, ultimately resulting in reduced plant growth and crop productivity. Seaweed extracts are thought to be effective in mitigating the effects of drought stress on plants. In this study, we investigated the impact of crude extract (CE), and polysaccharides (PS) derived from the brown macroalgae Fucus spiralis (Heterokontophyta, Phaeophyceae) applied at 5% (v/v) and 0.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
School of Information and Artificial Intelligence, Anhui Agricultural University, Changjiang West Road, Hefei, 230036, Anhui, China.
Drug-target interactions (DTIs) are pivotal in drug discovery and development, and their accurate identification can significantly expedite the process. Numerous DTI prediction methods have emerged, yet many fail to fully harness the feature information of drugs and targets or address the issue of feature redundancy. We aim to refine DTI prediction accuracy by eliminating redundant features and capitalizing on the node topological structure to enhance feature extraction.
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