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YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning
BackgroundRNA post-transcriptional modifications involve the addition of chemical groups to RNA molecules or alterations to their local structure....
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Integrated High-gain Feedback Control and Deep Reinforcement Learning Control of a Flexible Link With End-effector
Precision trajectory tracking control of flexible link(FL) presents significant challenges stemming from the inherent non-minimum phase...
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Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction
BackgroundPeptide-based therapeutics have great potential due to their versatility, high specificity, and suitability for a variety of therapeutic...
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DTI-RME: a robust and multi-kernel ensemble approach for drug-target interaction prediction
BackgroundDrug-target interaction (DTI) refers to the specific mechanisms by which drug molecules interact with biological targets within a...
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Chronic Anatabine Administration Attenuates Cardiovascular Activity by Targeting NF-κB/NLRP3/Caspase-1-Dependent Pyroptosis and Oxidative Stress in Paraventricular Nucleus of Hypertensive Rat
Hypertension is characterized by chronic inflammation. Anatabine, a natural alkaloid with anti-inflammatory properties, has demonstrated potential in...
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Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB
Cancer therapy resistance remains a major challenge, with limited resources available for systematically studying its underlying mechanisms at the...
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ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation
AbstractThe emergence of novel viral diseases, with SARS-CoV-2 as a stark example, poses increasing threats to public health, causing significant...
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Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association prediction
BackgroundDifferent expression levels of circular RNAs (circRNAs) affect the sensitivity of human cells to drugs, thus producing different responses...
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A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability
The major challenges in drug development stem from frequent structure-activity cliffs and unknown drug properties, which are expensive and...
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Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation
Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify...
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metaTP: a meta-transcriptome data analysis pipeline with integrated automated workflows
BackgroundThe accessibility of sequencing technologies has enabled meta-transcriptomic studies to provide a deeper understanding of microbial ecology...
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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions
BackgroundNumerous studies have shown that circRNA can act as a miRNA sponge, competitively binding to miRNAs, thereby regulating gene expression and...
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AnomalGRN: deciphering single-cell gene regulation network with graph anomaly detection
BackgroundSingle-cell RNA sequencing (scRNA-seq) is now essential for cellular-level gene expression studies and deciphering complex gene regulatory...
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A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens
Parkinson’s disease (PD), dementia with Lewy bodies (DLB), and other synucleinopathies are characterized by the accumulation of abnormal,...
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RBD-displaying OMV nanovaccine boosts immunity against SARS-CoV-2
BackgroundSince the emergence of SARS-CoV-2, the causative agent of COVID-19, the global health landscape has confronted an unprecedented and...
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Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning...
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Control Law Design of Variable Stability Aircraft for Intelligent Aerial Combat Effectiveness Evaluation Tests
The traditional evaluation system based on indicators is no longer suitable for the future assessment of intelligent aerial combat systems. To...
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Closed-Loop Identification and Flight Test Verification of Small UAVs Based on Multi-model
In response to the challenge of identifying the aircraft body model in closed-loop flight tests, this paper proposes a method based on multi-model...
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Probe-Drogue Simulation Study of Autonomous Aerial Refueling Based on Prediction Model
The movement characteristics of hose-drogue have significant influence on the success rate of Autonomous Aerial Refueling (AAR). The paper starts...
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Recent Advances in Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences
The secondary structures (SSs) and supersecondary structures (SSSs) underlie the three-dimensional structure of proteins. Prediction of the SSs and...
