A5061649532- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Physics of Superconductivity and Magnetism
- RNA Research and Splicing
- Theoretical and Computational Physics
- Advanced Condensed Matter Physics
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- HIV Research and Treatment
- Genetics and Neurodevelopmental Disorders
- Computational Drug Discovery Methods
- Glycosylation and Glycoproteins Research
- Chemical Synthesis and Analysis
- Enzyme Structure and Function
- Neural dynamics and brain function
- Immune Cell Function and Interaction
- Genomics and Phylogenetic Studies
- HIV/AIDS drug development and treatment
- Conducting polymers and applications
- Organic Electronics and Photovoltaics
- Advanced Proteomics Techniques and Applications
- Quantum many-body systems
- Cancer Mechanisms and Therapy
- Stochastic processes and statistical mechanics
Wuhan University
2022-2025
George Washington University
2016-2025
Columbia University
2019-2025
State Grid Corporation of China (China)
2024
Jiangxi Agricultural University
2024
Zhejiang University
2021-2023
Affiliated Hospital of Guizhou Medical University
2023
Guiyang Medical University
2023
Chinese People's Liberation Army
2023
City University of Hong Kong
2022
Chromatin states are the key to gene regulation and cell identity. immunoprecipitation (ChIP) coupled with high-throughput sequencing (ChIP-Seq) is increasingly being used map epigenetic across genomes of diverse species. modification profiles frequently noisy diffuse, spanning regions ranging from several nucleosomes large domains multiple genes. Much early work on identification ChIP-enriched for ChIP-Seq data has focused identifying localized regions, such as transcription factor binding...
The ground state of the spin-1/2 nearest-neighbor Heisenberg quantum antiferromagnet on Kagomé lattice probably lacks spin order; therefore, conventional spin-wave analysis breaks down. To ascertain state, we instead use a systematic 1/n expansion with SU(n) fermions. Two distinct states occur in large-n limit, depending size biquadratic interaction J̃. When J̃=0, there are an infinite number degenerate consisting disconnected dimers. At finite n, however, this degeneracy is broken by local...
We investigate the Heisenberg antiferromagnet with spins on a Kagom\'e net as recently proposed to explain an anomaly in heat capacity of adsorbed $^{3}\mathrm{He}$. The model reveals disordered ground state from our spin-wave calculation which is consistent results spin-spin correlation functions computed by direct diagonalization small clusters. also obtain evidence double-peak feature using decoupled-cell Monte Carlo simulation technique introduced Homma et al.
Direct coupling analysis of nucleotide coevolution provides a novel approach to identify which nucleotides in an RNA molecule are likely direct contact, and this information obtained from sequence only can be used predict 3D structures with much improved accuracy. Here we present efficient method that incorporates into current structure prediction methods, specifically 3dRNA. Our makes more accurate than the original 3dRNA as well other existing methods analysis. In particular our...
Abstract Large energy loss is one of the main limiting factors for power conversion efficiencies (PCEs) organic solar cells (OSCs). To this effect, chemical modifications famous Y‐series nonfullerene acceptor (NFA) BTP‐4Cl‐BO with a new end group, TPC‐Cl, whose π‐conjugation extended through fusing 3‐(dicyanomethylene)indanone (IC) group chlorinated thiophene ring, to synthesize two novel NFAs, BTP‐T‐2Cl and BTP‐T‐3Cl are performed. For TPC‐Cl groups, resulting OSC exhibits modest PCE 14.89%...
RNA-protein complexes underlie numerous cellular processes, including basic translation and gene regulation. The high-resolution structure determination of the is essential for elucidating their functions. Therefore, computational methods capable identifying native-like structures are needed. To address this challenge, we thus develop DRPScore, a deep-learning-based approach structures. DRPScore tested on representative sets with various degrees binding-induced conformation change ranging...
We study the T=0 frustrated phase of 1D quantum spin- 1/2 system with nearest-neighbour and next-nearest-neighbour isotropic exchange known as Majumdar-Ghosh Hamiltonian. first apply coupled-cluster method many-body theory based on a spiral model state to obtain ground-state energy pitch angle. These results are compared accurate numerical using density matrix renormalization group method, which also gives correlation functions. investigate periodicity Marshall sign criterion. discuss...
The zinc-binding Bbox1 domain in protein MID1, a member of the TRIM family proteins, facilitates ubiquitination catalytic subunit phosphatase 2A and alpha4, regulator PP2A. natural mutation residue A130 to valine or threonine disrupts substrate recognition catalysis. While NMR data revealed A130T mutant failed coordinate both structurally essential zinc ions resulted an unfolded structure, unfolding mechanism is unknown. Principle component analysis that served as hinge point between...
Abstract The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activity is a significant challenge because the high degree heterogeneity among patients and study cohorts, especially those collected on different microarray platforms. Here we deployed machine learning approaches integrate from three SLE sets used it classify as having active or inactive characterized by standard clinical composite outcome measures. Both raw whole blood informative...
In analogy to the quantum dimer model on square lattice introduced by Rokhsar and Kivelson, we identify low-energy Hilbert space of spin-1/2 kagom\'e Heisenberg antiferromagnet with set dimerized states (nearest-neighbor singlets) derive an effective Hamiltonian which describes resonance includes fluctuations into next-nearest-neighbor singlets. Complete diagonalization this for systems as large 36 spins makes possible study thermodynamics strongly supports double peak feature in heat capacity.
Non-coding RNA molecules play essential roles by interacting with other to perform various biological functions. However, it is difficult determine structures due their flexibility. At present, the number of experimentally solved RNA-ligand and RNA-protein still insufficient. Therefore, binding sites prediction non-coding required understand functions.Current site algorithms produce many false positive nucleotides that are distance away from sites. Here, we present a network approach, RBind,...
Breast cancer is one of the most common malignancies threatening women's health. Triple-negative breast (TNBC) a special type with high invasion and metastasis. CXCL12 its receptors CXCR4 CXCR7 play crucial role in progress cancer. The aim this study was to investigate effect on function TNBC.We used CRISPR/Cas9 technique carry out single knockout or gene co-knockout genes TNBC cell line (MDA-MB-231). cells were screened verified by PCR sequencing Western blot assay, proliferation examined...
Abstract Sociability is crucial for survival, whereas social avoidance a feature of disorders such as Rett syndrome, which caused by loss-of-function mutations in MECP2 . To understand how preference interactions encoded, we used vivo calcium imaging to compare medial prefrontal cortex (mPFC) activity female wild-type and Mecp2 -heterozygous mice during three-chamber tests. We found that mPFC pyramidal neurons -deficient are hypo-responsive both nonsocial stimuli. Hypothesizing this limited...
The bulk heterojunction (BHJ) morphology of photovoltaic materials is crucial to the fundamental optoelectronic properties organic solar cells (OSCs).
Accurate computational determination of RNA-protein interactions remains challenging, particularly when encountering unknown RNAs and proteins. The limited number their flexibility constrained the effectiveness deep-learning models for interaction prediction. Here, we introduce ZHMolGraph, which integrates graph neural network unsupervised large language to predict interaction. We validate ZHMolGraph predictions on two benchmark datasets outperform current best methods. For dataset entirely...
Effective emotional regulation, crucial for adaptive behavior, is mediated by the medial prefrontal cortex (mPFC) via connections to basolateral amygdala (BLA) and nucleus accumbens (NAc), traditionally considered functionally similar in modulating reward aversion responses. However, how mPFC balances these descending pathways control behavioral outcomes remains unclear. We found that while overall firing patterns appeared consistent across states, deeper analysis revealed distinct...
Effective emotional regulation, crucial for adaptive behavior, is mediated by the medial prefrontal cortex (mPFC) via connections to basolateral amygdala (BLA) and nucleus accumbens (NAc), traditionally considered functionally similar in modulating reward aversion responses. However, how mPFC balances these descending pathways control behavioral outcomes remains unclear. We found that while overall firing patterns appeared consistent across states, deeper analysis revealed distinct...
Secondary structures of RNAs are crucial to the understanding their tertiary and functions. At present, many theoretical methods widely used predict RNA secondary structures. The performance these has been evaluated but only for ability base-pairing prediction. However, topology a structure is more important its function, especially long RNAs. In this paper, we constructed new non-redundant database containing 73 with lengths 50–300 nucleotides benchmarked four popular algorithms both base...