15 citations
,
November 2024 in “Pharmaceutics” Peptide drugs now target hard-to-reach proteins more effectively and specifically.
14 citations
,
October 2015 in “Neurochemistry International” Letrozole may help prevent seizures by reducing certain hormone levels.
8 citations
,
September 2024 in “International Journal of Molecular Sciences” Polymers can be designed to mimic natural cell environments for medical uses.
August 2022 in “Indonesian Journal of Medical Chemistry and Bioinformatics” Certain herbal compounds might help prevent hair loss in menopausal women by activating Vitamin D receptors.
2 citations
,
June 2023 in “Current Nutrition & Food Science” Hinokiflavone may help treat cancers and other health issues.
48 citations
,
August 2022 in “Chemical Biology & Drug Design” Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.
16 citations
,
March 2022 in “Archives of Toxicology” Botulinum and tetanus neurotoxins are better understood now, with updated information on their effects and treatment.
10 citations
,
July 2022 in “Journal of Medicinal Chemistry” Adding a second method to PROTACs could improve cancer treatment.
9 citations
,
August 2020 in “International Journal of Molecular Sciences” New compounds may help treat heart disease by activating specific potassium channels.
8 citations
,
July 2023 in “Frontiers in Pharmacology” Cepharanthine shows promise as a COVID-19 treatment.
7 citations
,
March 2023 in “Arabian Journal of Chemistry” Cepharanthine may help treat COVID-19 by targeting multiple pathways.
1 citations
,
May 2022 in “Frontiers in Pharmacology” Astilbin can potentially calm overactive immune responses, like in Type 1 Diabetes, by suppressing certain cell activities and reducing inflammation.
October 2025 in “Influenza and Other Respiratory Viruses” Certain alkaloids could help create new coronavirus drugs.
August 2025 in “ACS Omega” New compounds show promise as nonsteroidal treatments for hair loss.
Eriocitrin and silymarin might be effective for hair loss treatment and need more research.
December 2022 in “Scientific Reports” Compound 4 is a promising treatment for hair loss with low toxicity.
8 citations
,
May 2025 in “Pharmaceuticals” In 2024, the FDA approved 27 innovative small-molecule drugs, with many offering significant treatment improvements.
May 2026 in “Cell Reports Medicine” FR-1 reduces skin scarring and promotes healing without harmful effects.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
13 citations
,
January 2015 in “Steroids” The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
45 citations
,
August 2005 in “Bioorganic & medicinal chemistry” New compounds with carborane showed anti-androgen effects similar to flutamide.
24 citations
,
December 2009 in “Future Medicinal Chemistry” Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
February 2024 in “Indian Journal of Chemistry” Compound N4 effectively kills breast cancer cells and compounds N2 and N3 have strong antibacterial and antifungal properties.
10 citations
,
November 2017 in “Letters in drug design & discovery” Researchers identified promising inhibitors for the BRD4 protein, including finasteride and amentoflavone.
1 citations
,
January 2023 in “Pharmacophore” Tea compound EGCG may slow aging by affecting gene activity.
January 2024 in “Pharmacophore” Herbal nanocosmeceuticals are more effective and eco-friendly than traditional skincare products.
18 citations
,
June 1999 in “Statistical Methods in Medical Research” The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
August 2019 in “bioRxiv (Cold Spring Harbor Laboratory)” The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
April 2019 in “Molecular Informatics” Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.