RNA Binding Protein with Multiple Splicing (RBPMS) Promotes Contractile Phenotype Splicing in Human Embryonic Stem Cell-Derived Vascular Smooth Muscle Cells

The Critical Role of RNA-Binding Protein RBPMS in Vascular Smooth Muscle Cells Academic Background Vascular Smooth Muscle Cells (VSMCs) are the primary structural components of large arteries. In healthy blood vessels, VSMCs exhibit a mature contractile phenotype, responsible for regulating vascular tone and blood flow. However, VSMCs possess pheno...

DeepES: Deep Learning-Based Enzyme Screening for Identifying Orphan Enzyme Genes

Academic Background With the rapid advancement of sequencing technology, scientists have been able to obtain a vast amount of protein sequence data, including many enzyme sequences. However, despite the establishment of large enzyme databases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG) and BRENDA, sequence information for many enzyme...

FlowPacker: Protein Side-Chain Packing with Torsional Flow Matching

The three-dimensional structure of a protein is determined by its amino acid sequence, and the function of the protein is highly dependent on its three-dimensional structure. The side-chain conformations of proteins play a crucial role in protein folding, protein-protein interactions, and de novo protein design. Accurate prediction of protein side-...

CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers

Academic Background Cryogenic Electron Microscopy (Cryo-EM) is a crucial experimental technique for determining the structures of macromolecules such as proteins. However, the effectiveness of Cryo-EM is often hindered by noise and missing density values caused by experimental conditions such as low contrast and conformational heterogeneity. Althou...

Relative Quantification of Proteins and Post-Translational Modifications in Proteomic Experiments with Shared Peptides: A Weight-Based Approach

In proteomics research, mass spectrometry (MS) is widely used to analyze changes in protein abundance and structure. However, protein quantification faces a critical challenge: many proteins share the same peptides (shared peptides), meaning these peptides appear in the sequences of multiple proteins. Traditional methods typically rely solely on un...

Sul-BERTGRU: An Ensemble Deep Learning Method Integrating Information Entropy-Enhanced BERT and Directional Multi-GRU for S-Sulfhydration Sites Prediction

Background Introduction Post-Translational Modifications (PTMs) are crucial mechanisms for regulating cellular activities, including gene transcription, DNA repair, and protein interactions. Among these, cysteine, a rare amino acid, participates in various PTMs through its thiol group, playing a significant role in redox balance and signal transduc...

Trajectory Alignment of Gene Expression Dynamics

The advent of single-cell RNA sequencing (scRNA-seq) technology has provided unprecedented resolution for studying gene expression dynamics during cell development and differentiation. However, due to the complexity of biological processes, cell developmental trajectories under different conditions are often asymmetric, posing challenges for data i...

SP-DTI: Subpocket-Informed Transformer for Drug–Target Interaction Prediction

Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...

Glutamate Dehydrogenase 1-Catalytic Glutaminolysis Feedback Activates EGFR/PI3K/AKT Pathway and Reprograms Glioblastoma Metabolism

Academic Background Glioblastoma (GBM) is one of the most aggressive and heterogeneous central nervous system tumors, with an extremely poor prognosis. Despite the emergence of novel therapies such as anti-angiogenic treatments and immunotherapy in recent years, the survival period of GBM patients remains very limited. GBM cells exhibit unique meta...

Inhibiting Cell Inspection Points Intervention via Injectable Short Fibers for Reversing Neural Cell Senescence

Background Introduction Spinal Cord Injury (SCI) is a significant challenge in the medical field, particularly in terms of neural function recovery. Research indicates that neurons play a crucial role in spinal cord regeneration, but in complex pathological environments, neurons are influenced by various factors, leading to rapid senescence. Senesc...