Structure-based drug design is an iterative process that is an established means to accelerate lead optimization, and is most powerful when integrated with information from different sources. Herein is described the use of such methods in conjunction with deconstruction and re-optimization of a diverse series of ASK1 chemotypes along with high-throughput screening that lead to the identification of a novel series of efficient ASK1 inhibitors displaying robust MAP3K pathway inhibition.
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http://dx.doi.org/10.1016/j.bmcl.2017.02.079 | DOI Listing |
Trop Med Infect Dis
November 2024
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Tuberculosis (TB) is a global health challenge associated with considerable levels of illness and mortality worldwide. The development of innovative therapeutic strategies is crucial to combat the rise of drug-resistant TB strains. DNA Gyrase A (GyrA) and serine/threonine protein kinase (PknB) are promising targets for new TB medications.
View Article and Find Full Text PDFMetabolites
December 2024
Pharmacognosy and Pharmaceutical Chemistry Department, Faculty of Pharmacy, Taibah University, Al Madinah Al Munawarah 30001, Saudi Arabia.
is a highly multidrug-resistant pathogen resistant to almost all classes of antibiotics; new therapeutic strategies against this infectious agent are urgently needed. Shikimate kinase is an enzyme belonging to the shikimate pathway and has become a potential target for drug development. This work describes the search for Food and Drug Administration (FDA)-approved drugs and natural compounds, including gallic acid, that could be repurposed as selective shikimate kinase inhibitors by integrated computational and experimental approaches.
View Article and Find Full Text PDFJ Med Chem
December 2024
Key Laboratory of Structure-Based Drug Design and Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, P.R. China.
Lipid metabolism disorder is the cause of one of the most significant metabolic changes in tumors. In the process of tumor occurrence and development, tumor cells choose a continuous metabolic adaptation to accommodate the changing environment to the maximum extent possible. In a variety of tumors, the uptake, production, and storage of lipids are generally upregulated.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Department of Biotechnology, Faculty of Life Sciences, Jamia Millia Islamia, New Delhi 110025, India. Electronic address:
PIM-1 kinase, a member of the Serine/Threonine kinase family, has emerged as a promising therapeutic target in various cancers due to its role in promoting tumor growth and resistance to conventional therapies. In this study, we employed a structure-based approach to screen 3800 FDA-approved drugs to discover potential inhibitors of PIM-1 after an initial selection of 50 candidates based on high docking scores. Four drugs, stanozolol, alfaxalone, rifaximin, and telmisartan, were identified as strong PIM-1 binders, interacting with key residues in the ATP-binding pocket of the kinase.
View Article and Find Full Text PDFEur J Med Chem
December 2024
Department of Pharmaceutical Chemistry, Delhi Institute of Pharmaceutical Sciences and Research (DIPSAR), DPSRU, Pushp Vihar, New Delhi, 110017, India. Electronic address:
Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identification, lead optimization, de novo drug design, and drug repurposing. Frameworks such as deep neural networks (DNNs), convolutional neural networks (CNNs), and deep reinforcement learning (DRL) models have shown promise in identifying drug targets, optimizing delivery systems, and accelerating drug repurposing.
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