Publications by authors named "Zhenzhong Zhou"
Article Synopsis
- The AlphaFold model has significantly impacted biological research, but large amounts of unstructured data necessitate further analysis to enhance understanding of research trends and future exploration in the field.
- A scientometric analysis employing machine learning methods reveals an impressive annual growth rate of 180.13%, with collaboration among researchers from different countries at 33.33%.
- Key areas of focus include the influence of artificial intelligence on structural biology and emerging hotspots such as structure prediction, drug discovery, and molecular dynamics, which highlight underexplored research opportunities associated with the AlphaFold model.
Article Synopsis
- The study focuses on neoadjuvant and adjuvant immunotherapies for cancer, analyzing their similarities and differences using informatics and extensive literature reviews from 2014 to 2023.
- It involved a detailed retrospective analysis of 1373 studies, assessing variables like publication volume, citation volume, and connection strength to detect trends and research clusters.
- Results showed significant growth in neoadjuvant therapies (25.18% annually) compared to adjuvant therapies (6.52%), with emerging research areas identified, particularly around efficacy, safety, and key biomarkers impacting these therapy strategies.
Article Synopsis
- Liquid-liquid phase separation (LLPS) is important in cancer biology, influencing tumor behaviors like initiation and metastasis, yet much data on this topic remains untapped.
- A decade-long analysis of research trends in LLPS shows a significant growth rate of 34.98% and a collaborative global effort, with research categorized into five key clusters focusing on drug delivery, gene regulation, RNA-protein interaction, and more.
- Emerging insights and analyses highlight super-enhancers and stress granules as key molecules in this realm, with ongoing connections found between phase separation and various cancer-related processes, indicating a rich area for further study.
Background: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scientometrics and visualization study could serve as a robust tool to address this issue. Hence, it was implemented.
Methods: After strict quality control, numerous data regarding the lymphoma metabolism were mined, quantified, cleaned, fused, and visualized from documents (n = 2925) limited from 2013 to 2022 using R packages, VOSviewer, and GraphPad Prism.
The members of the GRAS gene family play important roles in regulating plant growth and development, but their functions in regulating early plant maturity traits are still unknown. In this study, we used a series of bioinformatics tools to identify GRAS gene family members and investigate the function of the gene family (GhGRAS55) using a genome-wide database of upland cotton samples. A total of 58 members of the GRAS gene family were identified and screened, which were distributed on 21 chromosomes within the whole cotton genome.
View Article and Find Full Text PDFIntroduction: Due to the aging of the world population and the increase of obesity rate, it is expected that the number of joint replacement surgery will continue to increase in the next few years. This study evaluated the safety differences between unilateral and bilateral hip replacement surgeries.
Methods: The data for patients who underwent hip arthroplasty in 2021 and 2022 were examined.
Objective: To observe the impacts on the recovery of swallowing function in patients of dysphagia after acute stroke treated with acupuncture and functional electric stimulation.
Methods: Seventy-four patients were randomized into an acupuncture plus electric stimulation group (38 cases) and an electric stimulation group (36 cases). The functional electric stimulator was used in the two groups.
A local GABAergic system is functionally expressed in human fallopian tube.
Biochem Biophys Res Commun
July 2010
Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the mammalian central nervous system and exerts its actions via ionotropic (GABAA and GABAC) and metabotropic (GABAB) receptors. The GABAB receptor is a dimer composed of R1 and R2 components. In addition to their location on neurons, GABA and functional GABAB receptors also have been detected in some peripheral tissues.
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