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3689 results

Full text 2026

Causal knowledge graph analysis identifies adverse drug effects

Toonsi S, Schofield PN, Hoehndorf R.

<h4>Motivation</h4>Knowledge graphs and structural causal models have each proven valuable for organizing biomedical knowledge and estimating causal effects, but remain largely disconnected: knowledge graphs encode qualitative relationships focusing on facts and deductive reasoning without formal …

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Bioinformatics
Full text 2026

Integrated bioinformatics analysis and experimental validation reveal Pevonedistat as a promising therapeutic agent modulating the CRL4-DTL-p21/p53 axis in nasopharyngeal carcinoma

Jia CC, Li ZY, Jia WH, et al.

BACKGROUND: Nasopharyngeal carcinoma (NPC) continues to represent a significant therapeutic challenge. Despite the substantial success of radiotherapy, chemotherapy, and immunotherapy, their effectiveness remains limited in recurrent or advanced NPC. Hence, the urgent identification of new …

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Bioinformatics
Full text 2026

Integrated bioinformatics analysis of molecular signatures and therapeutic targets in early sepsis

Gai X, Li Y, Wang Y, et al.

<h4>Objective</h4>This study aimed to identify key molecular signatures and therapeutic targets in early sepsis through integrated bioinformatics analysis.<h4>Methods</h4>We analyzed three independent blood transcriptomic datasets (GSE95233, GSE137340, GSE57065) from the Gene Expression Omnibus. Differential expression, functional …

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Bioinformatics Transcriptomics
Full text 2026

A bioinformatics analysis of the PIEZO channel interaction network and the genes related to glycometabolic reprogramming and mitochondrial oxidative phosphorylation in the progression of prostatic hyperplasia

Zheng Y, Zhao F, Xu P, et al.

<h4>Background</h4>Prostatic hyperplasia is a common condition among aging males characterized by excessive prostate cell proliferation, and while it is a benign process, it involves significant metabolic reprogramming and immune infiltration-features typically associated with malignant tumors. …

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Bioinformatics
Full text 2026

RoBep: a region-oriented deep learning model for B-cell epitope prediction

Xu Y, Wei G, Zhou J, et al.

<h4>Motivation</h4>Accurate in silico identification of B-cell epitope residues is crucial for antibody design and structure-guided vaccine development. Although recent protein language models and structure-aware methods can capture spatial information of tertiary structure when generating residue …

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Bioinformatics
Full text 2026

OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data

Su H, Zhang C, Wang FQ, et al.

<h4>Motivation</h4>Single-cell technologies enable high-resolution cellular studies but face challenges in identifying differential features due to data complexity.<h4>Results</h4>We present OTMODE, a non-parametric method using unbalanced Sinkhorn algorithm and Wald test to improve differential feature identification in …

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Bioinformatics Single-Cell
Full text 2026

Recent national trends in pelvic and paraaortic lymphadenectomy in gynecologic oncology fellowship training programs: ACGME data from 2019-2025

Hoffman M, Clarke-Pearson D, Chi D, et al.

<h4>Purpose</h4>To investigate trends in surgical experience performing pelvic and paraaortic lymphadenectomies by gynecologic oncology (GO) fellows in the U.S.<h4>Methods</h4>Summary statistics for ACGME GO training programs were obtained from the ACGME public reporting system. The ACGME …

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Bioinformatics
Full text 2026

Empagliflozin attenuates elaidic acid-exacerbated cardiac dysfunction post-myocardial infarction via suppression of the NF-κB/NLRP3 pathway

Yan Q, Xiao J, Yu C, et al.

<h4>Objective</h4>Myocardial infarction leads to heart failure greatly increasing the risk of adverse cardiovascular events. Empagliflozin (EMPA), a sodium-dependent glucose transporters 2 (SGLT2) inhibitor, has been demonstrated to provide effective cardiovascular protection, while the underlying metabolic …

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Bioinformatics
Full text 2026

Exercise rejuvenates bone marrow mesenchymal stem cells associated with the inhibition of inflammatory factors and senescence-related factors

Dong XJ, Zhao Q, Zhang WM, et al.

<h4>Objective</h4>To investigate the effects of exercise on bone marrow stem cells (BMSCs) and determine underlying molecular network mechanisms through bioinformatics analysis combined experimental validation.<h4>Methods</h4>Target genes related to exercise and BMSCs were retrieved from the Gene …

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Bioinformatics