A5102876117- Nuclear physics research studies
- Computational Drug Discovery Methods
- Advanced biosensing and bioanalysis techniques
- Quantum Chromodynamics and Particle Interactions
- Luminescence and Fluorescent Materials
- Estrogen and related hormone effects
- High-Energy Particle Collisions Research
- Advanced Chemical Physics Studies
- RNA and protein synthesis mechanisms
- Advanced Chemical Sensor Technologies
- Molecular Sensors and Ion Detection
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- Nuclear Physics and Applications
- Polydiacetylene-based materials and applications
- Animal Behavior and Welfare Studies
- Nuclear Receptors and Signaling
- Human-Automation Interaction and Safety
- Ergonomics and Human Factors
- Polysaccharides Composition and Applications
- Radiopharmaceutical Chemistry and Applications
- Hydrogels: synthesis, properties, applications
- Advanced Drug Delivery Systems
- Analytical Chemistry and Sensors
- Protein Degradation and Inhibitors
China Pharmaceutical University
2001-2025
Sun Yat-sen University
2023-2025
Jinan University
2023
Sichuan Agricultural University
2022
Bacterial infections have emerged as the leading causes of mortality and morbidity worldwide. Herein, we developed a dual-channel fluorescence "turn-on" sensor array, comprising six electrostatic complexes formed from one negatively charged poly(para-aryleneethynylene) (PPE) positively aggregation-induced emission (AIE) fluorophores. The 6-element array enabled simultaneous identification 20 bacteria (OD
Array-based sensing methods offer significant advantages in the simultaneous detection of multiple amyloid biomarkers and thus have great potential for diagnosing early-stage Alzheimer's disease. Yet, detecting low concentrations amyloids remains exceptionally challenging. Here, we developed a fluorescent sensor array based on dual coupling nanoenzyme (AuNPs) bioenzyme (horseradish peroxidase) to detect amyloids. Various ss-DNAs were bound regulating enzymatic activity recognizing A...
Protein mutations occur frequently in biological systems, which may impact, for example, the binding of drugs to their targets through impairing critical H-bonds, changing hydrophobic interactions, etc. Thus, accurately predicting effects on systems is great interests various fields. Unfortunately, it still unavailable conduct large-scale wet-lab mutation experiments because unaffordable experimental time and financial costs. Alternatively, silico computation can serve as a pioneer guide...
Developing new strategies to construct sensor arrays that can effectively distinguish multiple natural components with similar structures in mixtures is an exceptionally challenging task. Here, we propose a multilocus distance-modulated indicator displacement assay (IDA) strategy for constructing array, incorporating machine learning optimization identify polyphenols. An 8-element comprising two fluorophores and their six dynamic covalent complexes (C1–C6) formed by pairing three distinct...
This study employs the dinuclear system model (DNS-sysu) to investigate drift and fluctuation mechanisms in $^{136}\mathrm{Xe}+^{209}\mathrm{Bi}$ collisions above Coulomb barrier. The DNS-sysu demonstrated its effectiveness providing reasonable descriptions of dynamics for multinucleon transfer reaction at low energies. We temperature-induced changes shell effect, which impacts nucleon transfer. At higher energies, weakening constraint potential energy surface leads a reversal evolution...
Proteolysis-targeting chimeras (PROTACs), which can selectively induce the degradation of target proteins, represent an attractive technology in drug discovery. A large number PROTACs have been reported, but due to complicated structural and kinetic characteristics target-PROTAC-E3 ligase ternary interaction process, rational design is still quite challenging. Here, we characterized analyzed mechanism MZ1, a PROTAC that targets bromodomain (BD) extra terminal (BET) protein (Brd2, Brd3, or...
Bacterial infections have emerged as a significant contributor to global mortality and morbidity rates. Herein, we introduce dual fluorescence "turn-on" supramolecular sensor array composed of three assembled complexes (
The efficiency of sensor arrays in parallel discrimination multianalytes is fundamentally influenced by the quantity and performance elements. advent combinational design has notably accelerated generation chemical libraries, offering numerous candidates for development robust arrays. However, screening elements with superior cross-responsiveness remains challenging, impeding high-performance Herein, we propose a new deep learning-assisted, two-step strategy to identify optimal combination...
Anaplastic lymphoma kinase (ALK), a tyrosine receptor kinase, has been proven to be associated with the occurrence of numerous malignancies. Although there have already at least 3 generations ALK inhibitors approved by FDA or in clinical trials, various mutations seriously attenuates effectiveness drugs. Unfortunately, most drug resistance mechanisms still remain obscure. Therefore, it is necessary reveal bottom reasons caused mutations. In this work, on basis verifying accuracy 2 main kinds...
The accurate determination of the nuclear interaction potential is essential for predicting fusion cross sections and understanding reaction mechanism, which plays an important role in synthesis superheavy elements. In this work, a neural network, combines with calculations via Hill-Wheeler formula, developed to optimize parameters Woods-Saxon by comparing experimental values. correlations between partners, can be quantitatively fitted sigmoid-like function mass numbers, have been displayed...
The mechanism of transcriptional activation/repression the nuclear receptors (NRs) involves two main conformations NR protein, namely, active (agonistic) and inactive (antagonistic) conformations. Binding agonists or antagonists to ligand-binding pocket (LBP) NRs can regulate downstream signaling pathways with different physiological effects. However, it is still hard determine molecular type a LBP-bound ligand because both bind same position protein. Therefore, necessary develop precise...
It is well-known that the potency of a drug heavily associated with its kinetic and thermodynamic properties target. Nuclear receptors (NRs), as an important target family, play roles in regulating variety physiological processes vivo. However, it hard to understand drug-NR interaction process because closed structure ligand-binding domain (LBD) NR proteins, which apparently hinders rational design drugs controllable properties. Therefore, understanding underlying mechanism ligand-NR seems...
Abstract Bacterial infections have emerged as the leading causes of mortality and morbidity worldwide. Herein, we developed a dual‐channel fluorescence “turn‐on” sensor array, comprising six electrostatic complexes formed from one negatively charged poly( para ‐aryleneethynylene) (PPE) positively aggregation‐induced emission (AIE) fluorophores. The 6‐element array enabled simultaneous identification 20 bacteria (OD 600 =0.005) within 30s (99.0 % accuracy), demonstrating significant...
Heavy-ion collisions at near-barrier energies provide a crucial pathway for investigating nucleon correlations and clustering structures. Recent experimental results showed that the valence neutrons in light projectiles obviously enhance $\ensuremath{\alpha}$ transfer. This finding is extremely puzzling fascinating, because it violates ground-state $Q$ value systematics unexpectedly. In this work, time-dependent Hartree-Fock approach utilized to investigate cluster By comparing reactions...
By targeting the ligand-binding pocket (LBP) and stabilizing corresponding state (agonistic or antagonistic) of a nuclear receptor (NR), functional ligands, namely agonists antagonists, can regulate expression downstream genes. In addition to there exists another category ligands that target LBP an NR, but without functions, which are called non-functional binders (NFBs). practice, it is difficult determine molecular LBP-bound ligand since these molecules bind same position in NR. Therefore,...
The accurate determination of the nuclear interaction potential is essential for predicting fusion cross sections and understanding reaction mechanism, which plays an important role in synthesis superheavy elements. In this work, neural network, combines with calculations via Hill-Wheeler formula, developed to optimize parameters Woods-Saxon by comparing experimental values. correlations between partners, can be quantitatively fitted a sigmoid-like function mass numbers, have been displayed...