The neurotensin receptors are attractive targets for the development of new analgesic compounds. They represent potential alternatives or adjuvants to opioids. Herein, we report the structural optimization of our recently reported macrocyclic peptide analogues of NT(8-13). The macrocycle was formed via ring-closing metathesis (RCM) between an ortho allylated tyrosine residue in position 11 and the side chain of alkene-functionalized amino acid in position 8 of NT(8-13). Minute modifications led to significant binding affinity improvement ( K improved from 5600 to 15 nM) with greatly improved plasma stability compared to NT(8-13). This study also delineates the structural features influencing these parameters. The signaling profiles of the new macrocycles were determined on the NTS1 receptor, and the physiological effects of the two most potent and stable analogues were assessed in vivo using rodent models. Both compounds displayed strong analgesic effects.
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http://dx.doi.org/10.1021/acs.jmedchem.8b00175 | DOI Listing |
BMC Health Serv Res
January 2025
Department of School and Social Adaptation Studies, Faculty of Education, Université de Sherbrooke, Sherbrooke, Canada.
Background: The COVID-19 pandemic necessitated the rapid availability of evidence to respond in a timely manner to the needs of practice settings and decision-makers in health and social services. Now that the pandemic is over, it is time to put in place actions to improve the capacity of systems to meet knowledge needs in a situation of crisis. The main objective of this project was thus to develop an action plan for the rapid syntheses of evidence in times of health crisis in Quebec (Canada).
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January 2025
Chemistry Department, School of Advanced Sciences, Vellore Institute of Technology-Chennai campus, Chennai, 600127, India.
Nickel complexes are a potential candidate for antibacterial and antifungal activity. A new Ni (II) complex, bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato)nickel (II) (2), was synthesised by reacting, bis(3-methoxy-salicylaldehyde)nickel (II) (1) with isobutylamine. It was characterised by single crystal X-ray diffraction (ScXRD), UV-Vis, NMR, IR, mass spectrometry, and thermogravimetry (TG) to study its structure and physico-chemical properties.
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January 2025
China Coal Shanxi China Resources Liansheng Energy Investment Co., LTD, Lvliang, 033000, China.
Bolt support improves the stress state of the surrounding rock and forms an integral bearing structure inside the anchored surrounding rock. Therefore, it is of theoretical significance and practical application value to systematically study the mechanical mechanism and bearing characteristics of the anchorage composite carrier and elucidate the interaction mechanism between the bearing effect of the anchorage composite carrier and the stability of the roadway surrounding rock. In this paper, a mechanical model for the anchorage composite carrier is meticulously constructed through a fusion of theoretical analysis and advanced numerical simulation techniques.
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January 2025
Leuphana University of Lueneburg, Universitaetsallee 1, 21335 Lueneburg, Germany. Electronic address:
This paper addresses a non-interacting torque control strategy to decouple the d- and q-axis dynamics of a permanent magnet synchronous machine (PMSM). The maximum torque per ampere (MTPA) method is used to determine the reference currents for the desired torque. To realize the noninteracting control, knowledge concerning the inductances L and L of the electrical machine is necessary.
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January 2025
Department of Electronics and Telecommunication, C. V. Raman Global University, Bhubaneswar 752054, Odisha, India. Electronic address:
Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.
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