A5101422287- Computational Drug Discovery Methods
- Microbial Natural Products and Biosynthesis
- Plant-based Medicinal Research
- Protein Structure and Dynamics
- Fungal Biology and Applications
- Analytical Chemistry and Chromatography
- Oceanographic and Atmospheric Processes
- Image and Signal Denoising Methods
- Plant biochemistry and biosynthesis
- Advanced Image Fusion Techniques
- Genomics, phytochemicals, and oxidative stress
- Drug-Induced Hepatotoxicity and Protection
- Ginger and Zingiberaceae research
- Higher Education and Teaching Methods
- Metabolomics and Mass Spectrometry Studies
- EFL/ESL Teaching and Learning
- Chemical Synthesis and Analysis
- Traditional Chinese Medicine Studies
- Advanced Image Processing Techniques
- Steroid Chemistry and Biochemistry
- Ocean Acidification Effects and Responses
- Educational Technology and Pedagogy
- Geological and Geophysical Studies
- Pharmacological Effects of Natural Compounds
- Plant Pathogens and Fungal Diseases
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2025
Sun Yat-sen University
2025
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2025
Jilin Medical University
2024
China University of Petroleum, East China
2020-2021
Shenzhen Institutes of Advanced Technology
2019-2020
Chinese Academy of Sciences
2019-2020
Shanghai University
2019
Tung Fang Design Institute
2004
Deep learning methods, which can predict the binding affinity of a drug–target protein interaction, reduce time and cost drug discovery. In this study, we propose novel deep convolutional neural network called SE-OnionNet, with two squeeze-and-excitation (SE) modules, to computationally protein–ligand complex. The OnionNet is used extract feature map from three-dimensional structure protein–drug molecular SE module added second third layers improve non-linear expression model performance....
4-Hydroxy pyridones are a class of fungi-derived polyketide–nonribosomal peptide products featuring core 4-hydroxy-2-pyridone which have wide range biological activities. Genome mining in-house strains using polyketide synthase–nonribosomal synthase as query identified an endophyte Tolypocladium sp. 49Y, possesses potential 4-hydroxy pyridone biosynthetic gene cluster. Heterologous expression in Aspergillus oryzae NSAR1 revealed that this cluster is functional and able to produce rare type...
Abstract A significant relationship exists between the Indian Ocean Dipole (IOD) and following year’s El Niño-Southern Oscillation (ENSO), in spite of uncertainty associated mechanisms. Here we show that spring sea surface temperature (SST) anomalies over southeastern (SEIO) play a bridging role teleconnection IOD subsequent ENSO. positive could induce tendency SST SEIO region from autumn to winter, primarily through cloud-radiation-SST feedback, forming an anomalous warming which persists...
Fusidane-type antibiotics are a group of triterpenoid antibiotics. They include helvolic acid, fusidic and cephalosporin P1, among which acid has been used clinically. We have recently elucidated the biosynthesis share an early biosynthetic route involving six conserved enzymes. Here, we report two separate gene clusters for P1 biosynthesis. One consists genes, other contains three genes encoding P450 enzyme (CepB4), acetyltransferase (CepD2), short-chain dehydrogenase/reductase (CepC2)....
Background: Drug development requires a lot of money and time, the outcome challenge is unknown. So, there an urgent need for researchers to find new approach that can reduce costs. Therefore, identification drug-target interactions (DTIs) has been critical step in early stages drug discovery. These computational methods aim narrow search space novel DTIs elucidate functional background drugs. Most developed so far use binary classification predict presence or absence between target....
Traditional Chinese medicine has been used to treat and prevent infectious diseases for thousands of years, accumulated a large number effective prescriptions. Deep learning methods provide powerful applications in calculating interactions between drugs targets. In this study, we try use the method deep reposition molecules medicines (CMs) targets syndrome coronavirus 2 (SARS-CoV-2). A convolution neural network with residual module (DCNN-Res) is constructed trained on KIBA dataset. The...
Immersion model is a teaching method to create the language context and use target teach directly let students lost themselves in class. In order explore whether approach of Model can facilitate high school learners' English writing. The author conducted an experiment study two classes, experimental class control result showed that achievement have made progress compared with And had paid more attention writing process were motivate learn. reveals feasible develop learners’ ability school.
Traditional Chinese medicines (TCMs) have been used to treat diseases for thousands of years. The application traditional medicine provides new ideas the treatment cancer and other intractable diseases. Phosphoinositide-3kinase (PI3K) pathway is an important way regulate tumor cells, such as cervical cancer. Deep learning a powerful in calculating interactions between drugs targets. In this study, we try use method deep reposition molecules TCMs 21 targets on PI3K pathway, predict that can...