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Articles by Zhenxing Wu
Food and nutrition literacy and proactive health behavior among patients with gastric ulcer: a profile analysis of nutrition awareness and a cross-sectional mediation comparison
Abstract Objective: This study aimed to explore, from both variable-centered and person-centered perspectives, the relationships among food and nutrition literacy, nutrition awareness, and proactive health behavior in patients with gastric ulcer, as well as the cross-sectional mediating role of nutrition awareness. Furthermore, this study sought to identify the latent classes of food and nutrition literacy and examine their differences in nutrition awareness and proactive health behavior.
Unique Features of Nasal Airway and Airflow Improvement Post-Dupilumab: A Computational Cohort Study
1 Introduction Chronic rhinosinusitis (CRS) is an inflammatory nasal mucosal disease responsible for more than 1 million sinus surgeries annually worldwide [1, 2]. CRS is heterogeneous and broadly is divided into CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). CRSwNP is characterized by benign polypoid growth of the nasal mucosa and has an estimated prevalence of 4.2% in the U.S. [3, 4].
Hydrogel-based electrodes for high-fidelity sEMG acquisition and robotic hand control
Abstract Stable acquisition and accurate recognition of surface electromyography (sEMG) signals are key elements for building high-performance human–machine interaction (HMI) systems. Owing to their excellent flexibility, electrical conductivity, and biocompatibility, conductive hydrogels show great potential in physiological electrodes and flexible sensor applications.
Traceability of Wild and Farmed Four Major Chinese Carps Using High-Resolution Mass Spectrometry-Based Proteomics Combined with Multivariate Statistical Analysis
Cite Jump to ExpandCollapse Omics Technologies Applied to Agriculture and FoodJanuary 15, 2026 Traceability of Wild and Farmed Four Major Chinese Carps Using High-Resolution Mass Spectrometry-Based Proteomics Combined with Multivariate Statistical Analysis Click to copy article linkArticle link copied! Xiaojing Yu Xiaojing Yu College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China Jinyue Yang Jinyue Yang Technology Center of Qingdao Customs...
A virtual platform for automated hybrid organic-enzymatic synthesis planning - Nature Communications
Abstract The integration of organic synthesis with enzymatic catalysis offers a promising route toward efficient and sustainable construction of complex molecules. While organic synthesis enables diverse transformations, enzymatic catalysis enhances stereoselectivity under mild conditions, improving cost-effectiveness and environmental impact. However, current enzymatic synthesis planning algorithms face challenges in formulating robust hybrid organic–enzymatic strategies.
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
The HHS Officials Being Paid Six Figures to Do Nothing The Trump administration hasn’t fired them but won’t let them do their jobs. When she succeeded Anthony Fauci as the director of the National Institute of Allergy and Infectious Diseases, Jeanne Marrazzo felt that she’d landed “probably the most important infectious-disease job in the world,” she …
Protein–peptide docking with a rational and accurate diffusion generative model - Nature Machine Intelligence
Abstract Therapeutic peptides represent the forefront of drug discovery, offering potent and safe alternatives to traditional small molecules. However, their weak and context-dependent nature complicates the efficient virtual screening and structural characterization of protein–peptide patterns. Here we introduce RAPiDock, a diffusion generative model designed for rational, accurate and rapid protein–peptide docking at an all-atomic level.
Token-Mol 1.0: tokenized drug design with large language models - Nature Communications
Abstract The integration of large language models (LLMs) into drug design is gaining momentum; however, existing approaches often struggle to effectively incorporate three-dimensional molecular structures. Here, we present Token-Mol, a token-only 3D drug design model that encodes both 2D and 3D structural information, along with molecular properties, into discrete tokens.
Deep lead optimization enveloped in protein pocket and its application in designing potent and selective ligands targeting LTK protein - Nature Machine Intelligence
Abstract Optimizing the chemical structure of promising drug candidates through systematic modifications to improve potency and physiochemical properties is a vital step in the drug discovery pipeline. In contrast to the well-established de novo generation schemes, computational methods specifically tailored for lead optimization remain largely underexplored.
Residual Stresses of 316L Stainless Steel Laser Direct Metal During Pulsed-Wave and Continuous-Wave Laser Additive Manufacturing: A Comparative Study
2. Materials and Methods 2.1. Materials and Samples This experiment employed 316L stainless steel as the substrate material, with the substrate measuring 60 × 60 × 10 mm. The material was Fe3000, and the composition of the powder is presented in Table 1. Prior to the experiments, the powder was processed in a vacuum drying chamber. The temperature of the chamber needed to be adjusted to 100 degrees centigrade within 20 min to guarantee that the moisture within the powder was entirely eliminated.
Leveraging language model for advanced multiproperty molecular optimization via prompt engineering - Nature Machine Intelligence
Abstract Optimizing a candidate molecule’s physiochemical and functional properties has been a critical task in drug and material design. Although the non-trivial task of balancing multiple (potentially conflicting) optimization objectives is considered ideal for artificial intelligence, several technical challenges such as the scarcity of multiproperty-labelled training data have hindered the development of a satisfactory AI solution for a long time.
Does Total Turbinectomy Always Lead to Empty Nose Syndrome? A Computational Virtual Surgery Study
INTRODUCTION Empty nose syndrome (ENS) is a rare condition that is often attributed to aggressive turbinate surgery.1 It is often diagnosed based on the spectrum of symptoms suffered by patients in combination with a computed tomography (CT) scan appearance of gross loss of turbinate tissue in the nasal cavity.2 It is a debilitating disease as patients have a paradoxical sensation of nasal obstruction despite having an objectively patent nasal airway.3 Additional symptoms include dyspnea,...
Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites - Nature Communications
Abstract Annotating active sites in enzymes is crucial for advancing multiple fields including drug discovery, disease research, enzyme engineering, and synthetic biology. Despite the development of numerous automated annotation algorithms, a significant trade-off between speed and accuracy limits their large-scale practical applications.
Research Progress on Gas Supply System of Proton Exchange Membrane Fuel Cells
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Mechanisms Underlying the Differential Sensitivity to Mesotrione in Sweet Corn
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A flexible data-free framework for structure-based de novo drug design with reinforcement learning
A flexible data-free framework for structure-based de novo drug design with reinforcement learning† Contemporary structure-based molecular generative methods have demonstrated their potential to model the geometric and energetic complementarity between ligands and receptors, thereby facilitating the design of molecules with favorable binding affinity and target specificity.
From Black Boxes to Actionable Insights: A Perspective on Explainable Artificial Intelligence for Scientific Discovery
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Chem. Inf. Model. 2023, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
How Does Oxymetazoline Change Nasal Aerodynamics and Symptomatology in Patients with Turbinate Hypertrophy?
INTRODUCTION Inferior turbinate hypertrophy (ITH), with or without nasal septal deviation, is one of the most common causes of nasal obstruction in the United States and affects more than 20 million adults.1 The nasal turbinates are structures within the nasal cavity which are comprised of bony and soft tissue components, the latter of which includes an epithelial layer overlying venous sinusoids and seromucinous glands.
Domestic cat nose functions as a highly efficient coiled parallel gas chromatograph
Loading metrics Open Access Peer-reviewed Research Article Abstract The peripheral structures of mammalian sensory organs often serve to support their functionality, such as alignment of hair cells to the mechanical properties of the inner ear. Here, we examined the structure-function relationship for mammalian olfaction by creating an anatomically accurate computational nasal model for the domestic cat (Felis catus) based on high resolution microCT and sequential histological sections.
Accumulation Rule of Sugar Content in Corn Stalk
1. Introduction China is a large agricultural country with abundant fiber resources of all kinds of crops. However, corn straw, as agricultural waste, is mostly burned for fuel. Its smoke contains a large amount of TSP (total suspended particulate matter) and SO2, causing serious atmospheric pollution. Hydrogen energy is considered as the most important clean energy in the 21st century.
Effects of nicosulfuron on plant growth and sugar metabolism in sweet maize (Zea mays L.)
Activities of HK and PFK The HK activity of the two inbred lines responded differently as the herbicide exposure time progressed (Fig 3A and 3B). After 1 DAT, the HK activity of the NT line increased significantly and was maintained at a higher level. The activity of HK in the NT was significantly higher than that of the control under nicosulfuron stress at all time points.
Elucidation of a lingual detection mechanism for high-viscosity solutions in humans
Elucidation of a lingual detection mechanism for high-viscosity solutions in humans† Brittany L. Miles, a Zhenxing Wu,b Kelly S. Kennedy,c Kai Zhaob and Christopher T.
Elucidation of a lingual detection mechanism for high-viscosity solutions in humans
Elucidation of a lingual detection mechanism for high-viscosity solutions in humans While perception of high-viscosity solutions (η>1000cP) is speculated to be linked to filiform papillae deformation, this has not been demonstrated psychophysically.
Computational Fluid Dynamic Modeling Reveals Nonlinear Airway Stress during Trachea Development
Normative trachea dimensions and aerodynamic information during development was collected to establish clinical benchmarks and showed that airway development seems to outpace respiratory demands. Infants and toddlers' trachea exhibit higher aerodynamic stress that significantly decreases by teenage years. This implies large airway pathology in younger children may have a more substantial clinical impact.
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