A series of 3-benzylamino-and 3-arylalkylaminocarbonyl [1, 2, 4]triazino [4, 3-a]benzimidazoles 1-12 were synthesized and biologically assayed as geometrically constrained analogues of N-benzylindolylglyoxylylamides II, which are high affinity ligands at the benzodiazepine receptor (BzR). The intermediate 3-ethoxycarbonyl [1, 2, 4]triazino [4, 3-a]benzimidazol-4(10H)-one 14 and its N(10)-methyl analogue 15 closely related to 3-alkoxycarbonyl-beta-carbolines I were also investigated. The title compounds exhibited a lower affinity compared with the corresponding indolylglyoxylylamide derivatives II. Attempts were made to rationalize these results taking into account the possible tautomeric equilibria involving these ligands.
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Neural Netw
December 2024
School of Computer Science, Wuhan University, Luojiashan Road, Wuchang District., Wuhan, 430072, Hubei Province, China; Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, No. 8, Yangqiaohu Avenue, Zanglong Island Development Zone, Jiangxia District, Wuhan, 2007, Hubei Province, China. Electronic address:
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.
View Article and Find Full Text PDFSci Total Environ
December 2024
Greentech Research Team, Thuyloi University, 175 Tayson Street, Dongda District, Hanoi, Viet Nam.
In the past, unsanitary landfills were a common method for municipal solid waste disposal in developing countries. Although many nations have closed these landfills, the environmental pollution risks and impacts persist. This study introduces a new multi-criteria risk assessment framework specifically designed for closed, unsanitary landfills.
View Article and Find Full Text PDFJ Chem Inf Model
December 2024
Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058 Zhejiang, China.
Three-dimensional (3D) molecular generation models employ deep neural networks to simultaneously generate both topological representation and molecular conformations. Due to their advantages in utilizing the structural and interaction information on targets, as well as their reduced reliance on existing bioactivity data, these models have attracted widespread attention. However, limited training and testing data sets and the unexpected biases inherent in single evaluation metrics pose a significant challenge in comparing these models in practical settings.
View Article and Find Full Text PDFIntroduction Movement requires maneuvers that generate thrust to either make turns or move the body forward in physical space. The computational space for perpetually controlling the relative position of every point on the body surface can be vast. We hypothesize the evolution of efficient design for movement that minimizes active (neural) control by leveraging the passive (reactive) forces between the body and the surrounding medium at play.
View Article and Find Full Text PDFFor lensless ghost imaging (GI) with thermal light, the axially relative motion constrained in the range of the system's depth of focus (DOF) can still cause image blurring because of a variable magnification. We propose a motion-deblurring GI system with pseudo-thermal light, which can overcome the resolution degradation caused by the axial motion. Both the analytical and experimental results demonstrate that high-resolution GI can be always obtained as long as the target's random motion range is smaller than the system's DOF, without using the prior information of motion estimation.
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