Jin Zhang

ORCID: 0000-0003-3074-5647
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Water Quality Monitoring and Analysis
  • Metabolomics and Mass Spectrometry Studies
  • Cancer-related molecular mechanisms research
  • Traditional Chinese Medicine Analysis
  • Advanced Chemical Sensor Technologies
  • Obstructive Sleep Apnea Research
  • Cancer, Hypoxia, and Metabolism
  • RNA modifications and cancer
  • Analytical Chemistry and Chromatography
  • Neuroscience and Neuropharmacology Research
  • Cancer-related gene regulation
  • Food composition and properties
  • Lipid metabolism and disorders
  • Higher Education and Teaching Methods
  • Amyloidosis: Diagnosis, Treatment, Outcomes
  • Antimicrobial Peptides and Activities
  • Pneumonia and Respiratory Infections
  • Chromatography in Natural Products
  • Nitric Oxide and Endothelin Effects
  • Computational Drug Discovery Methods
  • Biochemical and Structural Characterization
  • Adipokines, Inflammation, and Metabolic Diseases
  • Ferroptosis and cancer prognosis

Northwest A&F University
2006-2025

Guiyang Medical University
2020-2025

Ningxia Medical University
2003-2025

Nanchang Institute of Technology
2024

Dalian Maritime University
2024

Sichuan University
2023-2024

Jiaxing University
2019-2024

Shandong University of Traditional Chinese Medicine
2024

First People's Hospital of Chongqing
2024

Anhui Agricultural University
2024

Machine learning algorithms have attained widespread use in assessing the potential toxicities of pharmaceuticals and industrial chemicals because their faster speed lower cost compared to experimental bioassays. Gradient boosting is an effective algorithm that often achieves high predictivity, but historically relative long computational time limited its applications predicting large compound libraries or developing silico predictive models require frequent retraining. LightGBM, a recent...

10.1021/acs.jcim.9b00633 article EN Journal of Chemical Information and Modeling 2019-09-27

Abstract Electrochemical nitrogen reduction reaction (NRR) is a promising approach to convert earth‐adundant N 2 into highly value‐added NH 3 . Herein, it demonstrated that the heterogeneous Au–Fe O 4 nanoparticles (NPs) can be adopted as efficient catalysts for NRR. Due synergistic effect of strong fixation ability Fe and charge transfer capability Au, NPs show excellent performance with high yield (NH : 21.42 µg mg cat −1 h ) favorable faradaic efficiency 10.54%) at −0.2 V (vs reversible...

10.1002/adfm.201906579 article EN Advanced Functional Materials 2019-11-07

Cryptococcus neoformans infections pose a significant global health threat. This study introduces mesoricin, novel dual-domain antimicrobial peptide (AMP) scaffold derived from Mesorhizobium sp. identified using an in silico quantitative antifungal activity index (AFI). The structure comprises α-helix domain, which disrupts microbial membranes but exhibits highly hemolytic activity, and β-sheet targets intracellular energy metabolism resilient pathways. Rational design through domain removal...

10.1021/acs.jmedchem.4c02917 article EN Journal of Medicinal Chemistry 2025-04-08

We characterized 208 human Salmonella isolates from 2006 to 2007 and 27 enterica serovar Typhimurium 1987 1993 Henan Province, China, by serotyping, antimicrobial susceptibility testing, and, for the most common serovars, pulsed-field gel electrophoresis (PFGE). The serovars among 2006-2007 were S. (27%), Enteritidis (17%), Derby (10%), Indiana (6%), Litchfield (6%). A high percentage of multiple-drug resistant, 54% resistant both nalidixic acid ciprofloxacin. Of these, 42% a level...

10.1128/jcm.01099-08 article EN Journal of Clinical Microbiology 2008-12-11

Metabolic networks and their dysfunction in the brain are closely associated with central nervous function many psychogenic diseases. Thus, it is of utmost importance to develop a high-throughput imaging method for metabolic network mapping. Here, we developed mapping discover contexts alterations spatially resolved information from microregion by ambient-air flow-assisted desorption electrospray ionization mass spectrometry metabolomics analysis, which can be performed without any chemical...

10.1021/acs.analchem.1c00467 article EN Analytical Chemistry 2021-04-23

The advent of artificial intelligence (AI) technology has ushered in an era intelligent education, catalyzing profound changes teaching methods and reshaping the roles educators. This paper explores intricate relationship between technology, teachers by drawing upon relevant theories from field technological sociology, particularly concept "one skill for one person." It scrutinizes evolving role context intelligence, delving into mechanisms that underpin their functions this rapidly...

10.1016/j.procs.2024.04.096 article EN Procedia Computer Science 2024-01-01

Citrobacter freundii is an infrequent but established cause of diarrhea in humans. However, little known its genetic diversity and potential for virulence. We analyzed 26 isolates, including 12 from human diarrheal patients, 2 fecal samples unknown status, animals, insects, other sources. Pulsed field gel electrophoresis using XbaI allowed us to divide the isolates into 20 pulse types, while multi-locus sequence typing 7 housekeeping genes 6 types (STs) with majority belonging 4 STs....

10.1371/journal.pone.0033054 article EN cc-by PLoS ONE 2012-03-21

Crocetin, an agent derived from saffron, has multiple pharmacological properties, such as neuroprotective, anti-oxidant, and anti-inflammatory actions. These properties might benefit the treatment of Alzheimer's disease (AD). In present study, we tested whether crocetin attenuates inflammation amyloid-β (Aβ) accumulation in APPsw transgenic mice, AD mouse models. Cell viability levels Aβ40 Aβ42 HeLa cells stably transfected with Swedish mutant APP751 were evaluated. Mice transgene used...

10.1186/s12979-018-0132-9 article EN cc-by Immunity & Ageing 2018-10-30

Artificial intelligence approaches, such as machine learning and deep learning, may predict nano–bio interactions. However, a prediction is now hindered by the paucity of suitable nanodescriptors with applicable nanostructure annotation methods. Inspired face recognition technology, we have developed novel method to automatically convert nanostructures images for convolutional neural network modeling. In this operation, features were directly learned from nanoparticle without complicated...

10.1021/acssuschemeng.0c07453 article EN ACS Sustainable Chemistry & Engineering 2020-12-15

Abstract Depending on the dynamics of crosslinks, polymer networks can have distinct bulk mechanical behaviors, from viscous liquids to tough solids. Here, by means designing a crosslink with variable molecular dynamics, we show control viscoelasticity in broad range quantitatively. The hexanoate‐isoquinoline@cucurbit[7]uril (HIQ@CB[7]) exhibits combination protonated and deprotonated states similar association affinity but dynamics. property this is contributed linear parameters at two...

10.1002/anie.202105112 article EN Angewandte Chemie International Edition 2021-05-19

Hepatocellular carcinoma (HCC) with high heterogeneity is one of the most frequent malignant tumors throughout world. However, there no research to establish a ferroptosis-related lncRNAs (FRlncRNAs) signature for patients HCC. Therefore, this study was designed novel FRlncRNAs predict survival HCC.The expression profiles were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. co-expressed genes utilized signature. Cox regression used construct three in...

10.7717/peerj.11627 article EN cc-by PeerJ 2021-06-11

Methicillin-resistant Staphylococcus aureus (MRSA) is a leading threat to public health as it resistant most currently available antibiotics. Prodigiosin secondary metabolite of microorganisms with broad-spectrum antibacterial activity. This study identified significant effect prodigiosin against MRSA minimum inhibitory concentration low 2.5 mg/L. The results scanning electron microscopy, crystal violet staining, and confocal laser microscopy indicated that inhibited biofilm formation in S....

10.3389/fmicb.2024.1333526 article EN cc-by Frontiers in Microbiology 2024-01-22

The effects of dopamine (DA) on voltage-dependent potassium currents were investigated in rat lactotrophs maintained primary culture. Lactotroph cells identified using the reverse hemolytic plaque assay. Membrane and potentials lactotroph recorded patch-clamp recording technique 'whole-cell' configuration. In presence cobalt (2 mM), two types K+currents recorded, a voltage-activated delayed K+ current (IK) transient K+current (IA). IK was activated at membrane varying from –20 to + 40 mV did...

10.1159/000125650 article EN Neuroendocrinology 1990-01-01

Marathon, as a long-distance aerobic exercise, has become fashionable or popular sport. However, little is known about the holistic metabolic changes occurring within serum metabolome of athletes after completion marathon.The goal current study was to have an in-depth understanding impact marathon on human metabolomics well relationships among variety metabolites.The 20 studied subjects were all adult males who participated in marathon. The samples these participants collected before and...

10.1186/s12986-020-00436-0 article EN cc-by Nutrition & Metabolism 2020-03-13
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