In this review, the use of general NMR spectroscopy techniques to detect ligand binding and to monitor enzyme kinetics and inhibition, which appear particularly useful in hit identification and validation, is reiterated. Furthermore, the use of NMR-based strategies for lead optimisations that are based on either iterative derivatisations of an initial core structure or on linking fragments that occupy adjacent pockets in the target's binding site will also be described. Several recent examples will be reported and the use of these techniques in cases when the three dimensional structure of the target protein is known will be discussed.
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http://dx.doi.org/10.1517/14728222.8.6.597 | DOI Listing |
ISA Trans
January 2025
Toronto Metropolitan University, Toronto, Canada. Electronic address:
This research introduces an innovative approach to optimal control for a class of linear systems with input saturation. It leverages the synergy of Takagi-Sugeno (T-S) fuzzy models and reinforcement learning (RL) techniques. To enhance interpretability and analytical accessibility, our approach applies T-S models to approximate the value function and generate optimal control laws while incorporating prior knowledge.
View Article and Find Full Text PDFJ Biomol Struct Dyn
January 2025
Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Tryptophan catabolism is a central pathway in many cancers, serving to sustain an immunosuppressive microenvironment. The key enzymes involved in this tryptophan metabolism such as indoleamine 2,3-dioxygenase 1 (IDO1) and tryptophan 2,3-dioxygenase (TDO) are reported as promising novel targets in cancer immunotherapy. IDO1 and TDO overexpression in TNBC cells promote resistance to cell death, proliferation, invasion, and metastasis.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Aiming at the problems caused by a lack of feature matching due to occlusion and fixed model parameters in cross-domain person re-identification, a method based on multi-branch pose-guided occlusion generation is proposed. This method can effectively improve the accuracy of person matching and enable identity matching even when pedestrian features are misaligned. Firstly, a novel pose-guided occlusion generation module is designed to enhance the model's ability to extract discriminative features from non-occluded areas.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis.
View Article and Find Full Text PDFMolecules
January 2025
Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
The metabolism of environmental organic chemicals often relies on the catalytic action of specific enzymes at the nanoscale, which is critical for assessing their environmental impact, safety, and efficacy. Hydrolysis is one of the primary metabolic and degradation reaction pathways. Traditionally, hydrolysis product identification has relied on experimental methods that are both time-consuming and costly.
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