Scaffold hopping refers to the computer-aided search for active compounds containing different core structures, which is a topic of high interest in medicinal chemistry. Herein foundations and caveats of scaffold hopping approaches are discussed and recent methodological developments analyzed. Despite the conceptual prevalence of pharmacophore methods for scaffold hopping, a variety of computational approaches have been successfully applied. In recent years, scaffold hopping calculations are increasingly carried out at the level of scaffolds rather than compounds, and scaffold queries increasingly abstract from chemical structures. In addition, relationships between compounds, scaffolds, and biological activities are beginning to be globally explored, beyond individual applications. Going forward, computational scaffold hopping is thought to benefit from the consideration of new scaffold concepts and the development of methods capable of guiding search calculations toward scaffolds that are likely to represent potent compounds.
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http://dx.doi.org/10.1021/acs.jmedchem.6b01437 | DOI Listing |
Mar Drugs
January 2025
The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang 524023, China.
LCN2, a member of the lipocalin family, is associated with various tumors and inflammatory conditions. Despite the availability of known inhibitors, none have been approved for clinical use. In this study, marine compounds were screened for their ability to inhibit LCN2 using pharmacophore models.
View Article and Find Full Text PDFMol Divers
January 2025
School of Biological & Chemical Engineering, Zhejiang University of Science & Technology, Hangzhou, 310023, People's Republic of China.
The quinazoline scaffold serves as a fundamental framework, demonstrating potent anti-tumor activity. Employing the pharmacophore-based scaffold hopping principle, we successfully synthesized a series of FAK/PLK1 inhibitors incorporating the quinazoline scaffold. The synthesized compounds were characterized using H NMR, C NMR, and HRMS techniques.
View Article and Find Full Text PDFEur J Med Chem
January 2025
State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing, 211198, PR China. Electronic address:
Vitamin D receptor (VDR) has emerged as a crucial target for the treatment of hepatic fibrosis, a condition characterized by excessive deposition of extracellular matrix (ECM) components leading to impaired liver function. Activation of VDR has been shown to inhibit the transformation of hepatic stellate cells (HSCs), which play a key role in the development of liver fibrosis, thus reducing ECM production. In this study, a series of 37 non-steroidal VDR agonists with novel scaffold were designed and synthesized utilizing the scaffold hopping strategy.
View Article and Find Full Text PDFJ Med Chem
January 2025
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, and Fraunhofer Cluster of Excellence Immune-Mediated Diseases CIMD, Theodor-Stern-Kai 7, Frankfurt am Main 60596, Germany.
The leukotriene B4 receptor 2 (BLT2) is a G-protein coupled receptor, which is endogenously activated by 12()-hydroxyheptadeca-5Z,8E,10E-trienoic acid (12-HHT). BLT2 is gaining attention as a potential therapeutic target involved in various pathologies including diabetic wound healing, ophthalmic diseases, and colitis. However, validation of BLT2 as drug target requires chemical probes and pharmacological tools which will allow for application in vivo.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama 226-8501, Japan.
Accurate prediction of the difference in binding free energy between compounds is crucial for reducing the high costs associated with drug discovery. Relative binding free energy perturbation (RBFEP) calculations are effective for small structural changes; however, large topological changes pose significant challenges for calculations, leading to high errors and difficulties in convergence. To address such issues, we propose a new approach─PairMap─that focuses on introducing appropriate intermediates for complex transformations between two input compounds.
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