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MutualDTA: An Interpretable Drug-Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention.
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School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFNavigating the neuroinflammatory network: insights from diverse cell models.
In Vitro Model
February 2024
IFIBYNE-UBA-CONICET, Buenos Aires, Argentina.
In this Highlights article, we present insights into the use of simple cell lines in neuroinflammation research, highlighting key findings from our recent investigations. Simple cell lines, including HEK, PC12, SHSY5Y, and N2a cells, provide valuable insights into critical signaling pathways and hidden facets of the neuroinflammatory landscape. Focusing on specific outcomes, including the impact of interleukin-6 (IL-6) and acid-sensing ion channels (ASIC1a), the study sheds light on neuroinflammatory processes.
View Article and Find Full Text PDFAltercentric bias in preverbal infants' encoding of object kind.
Cognition
January 2025
University of Copenhagen, Denmark.
Human infants may exhibit an altercentric bias, where the perspective of others biases their own cognition. This bias may serve a crucial learning function in early ontogeny. This work tested the two main predictions of an altercentric bias in 14-month-old infants: (i) conceptual information should also be encoded altercentrically, and (ii) the other's perspective may completely override infants' own processing.
View Article and Find Full Text PDFHidden hunger: from a plant biologist's perspective.
J Sci Food Agric
January 2025
School of Biosciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Malaysia.
In recent years, changes in dietary patterns from an omnivore diet to a moderate-to-restrictive diet that includes more plant food are becoming popular for various reasons and the associated health benefits. Despite the increased consumption of plant food as recommended by these seemingly healthy diets, micronutrient deficiency is still prevalent particularly among the health-conscious populations. The aim of this review is to help guide interventions by understanding micronutrient deficiency trends from a dietary habit and plant physiology context.
View Article and Find Full Text PDFKnowledgedriven design of boron-based catalysts for oxidative dehydrogenation of propane.
Phys Chem Chem Phys
January 2025
State Key Laboratory of Fine Chemicals, Liaoning Key Laboratory for Catalytic Conversion of Carbon Resources, School of Chemistry, Dalian University of Technology, Dalian 116024, China.
Metal-free boron-based materials exhibit remarkable performance in oxidative dehydrogenation of propane (ODHP). Rational design of boron-based catalysts requires a systematic understanding of the underlying mechanisms to constitute a knowledge base. This work provides a comprehensive view of the reaction mechanism of the boron-based ODH reaction and discusses the key features of the reaction systems, including the inhibition of deep oxidation, high olefin selectivity, and the role of water in the ODHP reaction.
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