A5113898773- Antimicrobial Peptides and Activities
- Chemical Synthesis and Analysis
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
- Cancer Research and Treatments
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Animal Genetics and Reproduction
- Glycosylation and Glycoproteins Research
- Biosensors and Analytical Detection
- Monoclonal and Polyclonal Antibodies Research
- Signaling Pathways in Disease
- RNA and protein synthesis mechanisms
- Advanced Biosensing Techniques and Applications
- Virus-based gene therapy research
- Protein Hydrolysis and Bioactive Peptides
- Robotics and Automated Systems
- Microfluidic and Bio-sensing Technologies
- Electrowetting and Microfluidic Technologies
- Image Processing Techniques and Applications
- Aquaculture Nutrition and Growth
- Viral-associated cancers and disorders
Pharmaceutical Biotechnology (Czechia)
2025
Zhejiang University of Technology
2024-2025
North University of China
2025
Henan University of Technology
2024-2025
China Three Gorges University
2024
Yichang Central People's Hospital
2024
Southern Medical University Shenzhen Hospital
2023
Hunan Normal University
2021
Ganzhou People's Hospital
2020
Huazhong Agricultural University
2019
Abstract Metabolic associated fatty liver disease (MAFLD) is rising in incidence and an increasingly common cause of cirrhosis hepatocellular carcinoma (HCC). Alterations the gut microbiota have been shown to correlate with development progression MAFLD. However, little known regarding differences microbiomes MAFLD patients healthy cohorts, subgroups at abnormal activity hepatic enzymes China. In this study, we enrolled 81 25 volunteers. The fecal was assessed using 16S rRNA gene sequencing...
Novel antifungal drugs that evade resistance are urgently needed for Candida infections. Antifungal peptides (AFPs) potential candidates due to their specific mechanism of action, which makes them less prone developing drug resistance. An AFP de novo design method, Deep Learning-Quantitative Structure‒Activity Relationship Empirical Screening (DL-QSARES), is developed by integrating deep learning and quantitative structure‒activity relationship empirical screening. After generating candidate...
Circular RNAs (circRNAs) are pervasively expressed circles of non‑coding RNAs. Even though many circRNAs have been reported in humans, their expression patterns and functions remain poorly understood. In this study, we employed a pipeline named RAISE to detect RNA‑seq data. can fully characterize circRNA structure abundance. We evaluated inter-individual variations humans by applying numerous non‑poly(A)-selected identified 59,128 candidates 61 human liver samples, with almost no overlap the...
The reverse addition process in anti-solvent crystallization is safer and more efficient than sieving when dealing with energetic compounds. A new mathematical model has been developed to understand the crystal size mechanism during of solvent a binary system. This incorporates droplet dynamics, distribution moments, mass balance constraints. It can be used predict appropriate for designing explosive recipes desired particle maximize energy output. was validated by conducting...
Artificial intelligence-based peptide structure prediction methods have revolutionized biomolecular science. However, restricting predictions to peptides composed solely of 20 natural amino acids significantly limits their practical application; as such, often demonstrate poor stability under physiological conditions. Here, we present NCPepFold, a computational approach that can utilize specific cyclic position matrix directly predict the with noncanonical acids. By integrating...
Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are primarily optimized using cross-entropy loss and often overlook the unique topological constraints of cyclic peptides. This limits ability generate structurally accurate foldable sequences. To address this challenge, we propose HighMPNN, a graph neural network model that builds upon ProteinMPNN by...
Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are primarily optimized using cross-entropy loss and often overlook the unique topological constraints of cyclic peptides. This limits ability generate structurally accurate foldable sequences. To address this challenge, we propose HighMPNN, a graph neural network model that builds upon ProteinMPNN by...
Abstract Ancherythroculter nigrocauda is a cyprinid fish endemic of the upper reaches Yangtze River in China, where it an important aquaculture and commercial species. It also threatened species as result overfishing, dam construction water pollution. In this study, chromosome‐level genome assembly A. reported built using PacBio sequencing Hi‐C technology. The 1.04‐Gb sequenced contained 2,403 contigs, with N50 length 3.12 Mb. Then, 1,297 which represented 54.0% all contigs 97.2% whole...
The taxonomical identification merely based on morphology is often difficult for ancient remains. Therefore, universal or specific PCR amplification followed by sequencing and BLAST (basic local alignment search tool) has become the most frequently used genetic-based method species of biological samples, including However, it challenging these methods to process extremely samples with severe DNA fragmentation contamination. Here, we applied whole-genome data from 12 ages ranging 2.7 700 kya...
Low-grade glioma (LGG) has an extremely poor prognosis, and the mechanism leading to malignant development not been determined. The aim of our study was clarify function anoikis TIMP1 in progression LGG. We screened 7 anoikis-related genes from Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases construct a prognostic-predicting model. assessed clinical pathological characteristics, immune cell infiltration both high- low-risk groups. Additionally, potential modulatory effects...
Cyclic peptides are potentially therapeutic in clinical applications, due to their great stability and activity. Yet, designing identifying potential cyclic peptide binders targeting specific targets remains a formidable challenge, entailing significant time resources. In this study, we modified the powerful RFdiffusion model allow structure identification integrated it with ProteinMPNN HighFold design for targets. This innovative approach, termed cycledesigner, was followed by series of...
Abstract Artificial intelligence-based peptide structure prediction methods have revolutionized biomolecular science. However, restricting predictions to peptides composed solely of 20 natural amino acids significantly limits their practical application, as such often demonstrate poor stability under physiological conditions. Here, we present NCPepFold, a computational approach that can utilize specific cyclic position matrix directly predict the with non-canonical acids. By integrating...
This paper introduces the control system of humanoid robot THBIP-1 being developed cooperatively by three departments Tsinghua University. The with 32 actuated joints has a head, torso, two arms, legs and feet. To realize autonomous self-contained characteristics, new distributed hierarchical configuration is proposed. It been shown that scheme effective.
Epstein-Barr virus (EBV) is a human oncogenic herpesvirus associating with several malignant diseases. Latent membrane protein 2 (LMP2) of EBV considered to be an ideal candidate for immunotherapy or prophylactic vaccine. We designed LMP2 multiepitope containing T and B-cell epitope-rich peptides constructed recombinant plasmid mammalian codonoptimization (pcDNA3.1(+)/EBV-LMP2 multiepitope). After pcDNA3.1(+)/EBV-LMP2 was transfected into COS-7 cells, significant expression the in cells...
A self-assembly conductive method for DNA identification has been demonstrated to be used in an array based microelectronic biochip. The detailed fabrication steps of the device and procedures identify targeted samples with gold nanoparticle labels are presented. By using pre-hybridization amplification method, sensitivity this array-based biochip exceeds that a traditional fluorescence detection system by three orders magnitude. is simple compatible standard IC technology slight...
Peptides are crucial in vaccine research, and their remarkable specificity efficacy make them a promising potential drug class. However, designing screening these peptides computationally is challenging. Here, we present the comprehensive advanced refinement evaluation system (PepCARES), program utilizing our novel model called PeptideMPNN score for peptide design affinity screening. PeptideMPNN, built on ProteinMPNN with transfer learning, significantly enhances sequence recovery (by...
This paper describes the fabrication and optical response of photodiodes when they are used in an integrated detection system for DNA analysis. Compared with traditional approach external CCD camera based systems, proposed can produce a more highly higher density. By use natural spectral sensitivity photodiode, need color filters is eliminated integration. Experimental results show that matched unmatched samples labels be distinguished by measured photodiode current properly excited illumination.