- Wastewater Treatment and Nitrogen Removal
- Water Treatment and Disinfection
- Ginseng Biological Effects and Applications
- Genomics and Chromatin Dynamics
- Microbial Community Ecology and Physiology
- Thermochemical Biomass Conversion Processes
- RNA and protein synthesis mechanisms
- Pharmacological Effects of Natural Compounds
- Machine Learning in Materials Science
- Bacterial biofilms and quorum sensing
- Computational Drug Discovery Methods
- Membrane Separation Technologies
- Advanced Nanomaterials in Catalysis
- Industrial Automation and Control Systems
- Remote Sensing and LiDAR Applications
- Wnt/β-catenin signaling in development and cancer
- Kruppel-like factors research
- Polysaccharides and Plant Cell Walls
- Atmospheric chemistry and aerosols
- Natural product bioactivities and synthesis
- Inflammasome and immune disorders
- Advanced Manufacturing and Logistics Optimization
- Recreation, Leisure, Wilderness Management
- Microbial Metabolites in Food Biotechnology
- Domain Adaptation and Few-Shot Learning
Tianjin University
2023-2025
Minjiang University
2023-2024
First People's Hospital of Nanning
2024
Tianjin University of Science and Technology
2024
University of Science and Technology of China
2021-2023
Hubei University
2020-2022
Qinghai No.3 People's Hospital
2022
Southeast University
2021
Sun Yat-sen University
2020
Anhui Institute of Optics and Fine Mechanics
2014
Abstract Ginsenosides are a group of tetracyclic triterpenoids with promising health benefits, consisting ginseng aglycone attached to various glycans. Pq3‐O‐UGT2, an important UDP‐dependent glycosyltransferase (UGT), catalyzes the production Ginsenoside Rg3 and Rd by extending glycan chain Rh2 F2, respectively, higher selectivity for F2. However, mechanism underlying its substrate recognition remains unclear. In this study, crystal structures Pq3‐O‐UGT2 in complex acceptor substrates...
The ginsenoside Rg3 found in Panax species has extensive pharmacological properties, particular anti-cancer effects. However, its natural yield plants is limited. Here, we report a multi-modular strategy to improve yields of ginseng chassis, combining engineering triterpene metabolism and overexpression lignin biosynthesis gene, phenylalanine ammonia lyase (PAL). We first performed semi-rational design site mutagenesis the enzymatic efficiency Pq3-O-UGT2, glycosyltransferase that directly...
Hiking is a popular recreational activity and to cater public demand, it apt increase the number of hiking trails. Various methodologies have been proposed evaluate suitability forest trails be constructed as trails, but they can costly require relevant knowledge in analyzing digital information through high-throughput dataset. Therefore, there need come up with simple method obtain first-hand on trail condition, particularly considering aspects safety hikers, using both on-ground aerial...
Abstract Quorum sensing (QS) is considered to be a promising regulation method for biological wastewater treatment (WWT) due its in extracellular substances (EPS) production, biofilm formation, granulation, colonization and bacterial activity stability. Recently, autoinducer-2 (AI-2), kind of interspecies communication QS signal molecule, being increasingly reported roles regulating gene expression aggregation. Consequently, AI-2 mediated system as regulatory approach WWT processes. This...
Peritoneal fibrosis (PF) is the main reason leading to declining efficiency and ultrafiltration failure of peritoneum, which restricts application peritoneal dialysis (PD). We aimed investigate effects mechanisms miR-122-5p on PF. Sprague-Dawley (SD) rats were infused with glucose-based standard PD fluid establish PF model. HE staining was performed evaluate extent Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) in situ hybridization (FISH) measure expression level...
Clusters usually exhibit unique structures as an intermediate form of matter. However, their are still difficult to be determined with available experimental techniques. There many structure distinct isomers for carbon-dioxide clusters. Here we report and theoretical joint study determine the lowest-energy isomers. In experiment, exploded clusters by laser-driven multiple ionization obtained precise momentum vectors explosion fragments each channel. theory, calculated low-energy simulated...
The main focus of in silico drug repurposing, which is a promising area for using artificial intelligence discovery, the prediction drug-disease relationships. Although many computational models have been proposed recently, it still difficult to reliably predict associations from variety sources data.In order identify potential associations, this paper introduces novel end-to-end model called Graph convolution network based on multimodal attention mechanism (GCMM). In particular, GCMM...
Aldehydes were speculated to be important precursor species in new particle formation (NPF). The direct involvement of formaldehyde (CH2O) sulfuric acid and water nucleation is negligible; however, whether its atmospheric hydrolysate, methanediol (CH2(OH)2), which contains two hydroxyl groups, participates NPF not known. This work investigates both CH2O hydrolysis from CH2(OH)2 with quantum chemistry calculations cluster dynamics modeling. Kinetic calculation shows that reaction rates the...
The same AHL behaves quite differently at room and low temperature, indicating that AHL-based regulatory strategies should be selected according to operating conditions.
This study aimed to explore the effect of toll-like receptor 4 (TLR4)/nuclear factor-kappa B (NF-κB)/NOD-like thermal protein domain-associated 3 (NLRP3) signalling on Henoch-Schonlein purpura nephritis (HSPN). We established a HSPN rat model in high-altitude hypoxic (HH) environment. Renal tissue lesions were observed by haematoxylin and Eosin (H&E) staining terminal deoxynucleotidyl transferase-mediated dUTP nick end labelling (TUNEL), CD20-postive cells CD68-postive macrophage detected...
Carbon-doped g-C3N4 was synthesized using a simple high-temperature process (calcination at 550 °C for 4 h). One-dimensional nanofibrillated cellulose (NFC) materials were then inserted into the two-dimensional material by vacuum filtration method room temperature. The prepared g-C3N4/NFC composite membranes systematically characterized series of techniques, such as XRD, FTIR, and SEM. results showed that carbon-doped photocatalysts possessed narrow band gap, which prolonged visible light...
As the most prevalent and reversible internal epigenetic modification in eukaryotic mRNAs, N6-methyladenosine (m6A) post-transcriptionally regulates processing metabolism of mRNAs involved diverse biological processes. m6A is regulated by writers, erasers, readers. Emerging evidence suggests that plays essential roles modulating cell fate transition embryonic stem cells. Mechanistic investigation maintenance differentiation critical for understanding early development, which also premise...
Transcription factor is a regulatory protein that specifically binds to DNA. It regulates the expression position and time of target gene by binding dissociating with DNA sequence near gene. Identifying sites transcription factors on still very challenging task. Therefore, we propose algorithm AttBind, which integrates CNN, Bi-GRU, Attention mechanism trains multiple data, including genomic sequences, genome annotations expression,etc. Compared other well-tested deep learning models, are...
ABSTRACT Sequential Pyrolysis Gas Chromatograph is used to study the kinetics of polystyrene decomposition. All reactions involved well fit first-order reaction at pyrolysis temperature ranged from 370-500 °C. The product distribution described and an independent parallel kinetic model proposed. yield styrene monomer increases obviously with rising 90.6%(wt.) obtained 500°C. A fluidized-bed reactor suggested improve in industrial practice.
As one of the most core links in pharmaceutical industry, drug discovery is an important direction for application artificial intelligence technology. It still a huge challenge to accelerate process. To address it, we have developed generative model de novo small-molecule based on Generative Adversarial Network algorithm called DeepGAN. worth mentioning that make DeepSMILES as training object, which has avoided limitations SMILES. And addition reinforcement learning keeps away from...
The complex system of gene expression is regulated by the cell type-specific binding transcription factors (TFs) and regulatory elements. It still a huge challenge to precisely locate specific sites on genome. To address this, we implement sequence-based deep learning model called CapBind, using dna2vec embedding method introducing Capsule network, which can accurately predict factor given DNA sequence. Compared with three well-tested models, DeepBind, DanQ CNN-Zeng, CapBind has great...