Identification of the M1-like macrophage-associated diagnostic and therapeutic frameworks targeting carotid atherosclerosis patients: Integrative bioinformatic and multi-omic studies [0.03%]
针对颈动脉粥样硬化患者的M1型巨噬细胞相关诊断和治疗框架的鉴定：整合生物信息学和多组学研究
Yuxin Zhang,Yao Wang,Yaqing Li et al.
Yuxin Zhang et al.
Background: M1‑like macrophage dysregulation is a central driver of inflammation and plaque formation in atherosclerosis (AS). However, specific diagnostic and therapeutic targets for carotid atherosclerotic plaque remai...
IoT-based ECG arrhythmia detection and classification model using an optimization based hybrid deep capsule stacked autoencoder [0.03%]
基于优化的混合深度胶囊栈自编码器的物联网心电图心律失常检测与分类模型
Vijay A Kotkar,Makarand Shahade,Dhanraj S Jadhav et al.
Vijay A Kotkar et al.
Heart disease is one of the most dangerous diseases, and it is getting worse in adults over the age of 40. Cardiac arrhythmia is defined as an irregular heartbeat, and quick diagnosis and treatment are critical for saving the lives of a hug...
Machine learning-enabled multi-omics discovery of prognostic biomarkers and signaling targets in pancreatic cancer [0.03%]
机器学习赋能的多组学胰腺癌预后生物标志物和信号靶点研究
Shafiul Haque,Darin Mansor Mathkor,Mohd Wahid et al.
Shafiul Haque et al.
Pancreatic ductal adenocarcinoma (PDAC) remains difficult to subtype using single omics layers. We conducted an exploratory investigation integrating reverse-phase protein array (RPPA) and DNA methylation data from the cancer genome atlas (...
Structure-first design of a photoswitchable JAK2 inhibitor candidate with isomer-selective binding [0.03%]
一种具有异构体选择性结合的可光控JAK2抑制剂候选药物的结构优先设计
Shelby R Kell,Austin D Barkley,Chavdar Slavov
Shelby R Kell
Precise control over kinase inhibitor selectivity and activity remains a central challenge in targeted drug design. While photopharmacology offers a route to modulate ligand activity with light, most implementations rely on azologization of...
Protein-level representations outperform nucleotide foundation models for virulence-factor classification in an organism-level holdout benchmark [0.03%]
在器官水平的保留基准上，蛋白质水平表示优于基础模型，用于某一生物体内的毒力因子分类
Dmytro Zaharnytskyi
Dmytro Zaharnytskyi
Biosecurity screening of synthetic DNA relies on sequence-homology tools such as BLAST, motivating interest in learned, reference-database-free classifiers as a complement. We present, to our knowledge, the first benchmark comparing a nucle...
Magnetic control of nano-cerebrospinal fluid dynamics in the subarachnoid region: Neurotherapeutic applications [0.03%]
纳米脑脊液在蛛网膜下腔中的磁控及其神经治疗应用
Sanatan Das,Poly Karmakar
Sanatan Das
The dynamic behavior of nano-cerebrospinal fluid (NCSF) flow in the subarachnoid channel under external magnetic stimulation is investigated in this study, with findings aimed at advancing neurological drug delivery and treatment strategies...
AI-assisted in silico design and multi-target docking analysis of a novel gentamicin-ferrostatin hybrid compound for reduced nephrotoxicity and ototoxicity [0.03%]
一种新型新霉素-铁StateException: undefined procedure: tl_use:N (called from line 25 of file /home/cmbi/parus/worker/extract/extract_text_from_pdf.pl)
G Pranav Karthick,Kaviya Ganesan,V S Vishali Priya et al.
G Pranav Karthick et al.
Gentamicin, a widely used aminoglycoside antibiotic, causes severe nephrotoxicity and ototoxicity through ferroptosis-mediated mechanisms involving glutathione peroxidase 4 (GPX4), the cystine/glutamate antiporter SLC7A11, NADPH oxidase 4 (...
Network pharmacology, molecular docking, and dynamics simulation reveal multi-target mechanisms of Mesua ferrea linn phytochemicals against cervical cancer [0.03%]
网络药理学、分子对接和分子动力学模拟揭示了Mesua ferrea Linn植物化学成分的抗宫颈癌多靶标机制
Aryan Shyam Gaidhane,A M Malvika,Mahesh Vasava et al.
Aryan Shyam Gaidhane et al.
Cervical cancer represents the second most prevalent malignancy among women in India and is etiologically linked to persistent infection with high-risk human papillomavirus (HPV) strains. Mesua ferrea Linn, a medicinal tree species distribu...
Machine learning-assisted optimization of green L-DOPA extraction from Faba bean (Vicia faba L.) leaf tissues using CatBoost and bootstrap-based uncertainty quantification [0.03%]
基于CatBoost和自助法不确定量化辅助的从蚕豆叶组织中提取绿色左旋多巴的机器学习优化方法
Mohammad Danish Jawed Ansari,Sandip Garai,Vasundhara Dhote et al.
Mohammad Danish Jawed Ansari et al.
L-3,4-dihydroxyphenylalanine (L-DOPA), a key phytochemical with therapeutic significance in Parkinson's disease management, is naturally abundant in Vicia faba L. (Faba bean) tissues. The present study developed and optimized a green extrac...
SMFP: A self-supervised multimodal molecular feature fusion method with bidirectional cross-attention for molecular property prediction [0.03%]
基于双向交叉注意的自监督多模态分子特征融合方法用于分子性质预测
Xingxing Li,Jing Jiang,Yugang Dai
Xingxing Li
Self-supervised learning and multimodal feature fusion approaches have led to significant advances in molecular property prediction. However, most existing multimodal fusion approaches rely on simple feature concatenation, which fails to ef...