Network modeling of sporadic colorectal cancer reveals the importance of off-target effects of Cyclooxygenase inhibitors [0.03%]
网络模型揭示了非甾体抗炎药的脱靶效应对于散发性结直肠癌的重要性
Anthony R Gebhart,Manon M M Berns,Jan Snoeys et al.
Anthony R Gebhart et al.
Cyclooxygenase (COX) inhibitors (COXIBs) have shown preventive and therapeutic potential for colorectal cancer (CRC). In addition to inhibiting COX, approved COXIBs also target COX-independent pathways, including NF-κB and AKT. We evaluate...
Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A [0.03%]
机器学习在中国重度甲型血友病儿童中估计FVIII药代动力学参数
Yuntian Wang,Di Ai,Shuo Wang et al.
Yuntian Wang et al.
Hemophilia A is a rare inherited bleeding disorder typically managed with coagulation factor VIII (FVIII) replacement therapy. Designing personalized prophylactic regimens requires accurate pharmacokinetic (PK) characterization; current pop...
Publisher Correction: Mammalian synthetic gene circuits for biopharmaceutical development & manufacture [0.03%]
出版更正：用于生物药物开发和制造的哺乳动物合成基因电路
Sheryl Li Yan Lim,Sofia Gialamoidou,Rajinder Kaur et al.
Sheryl Li Yan Lim et al.
Published Erratum
NPJ systems biology and applications. 2026 Feb 27;12(1):31. DOI:10.1038/s41540-026-00659-6 2026
Ecological and stochastic determinants of the growth and persistence of the oral pathogen Porphyromonas gingivalis [0.03%]
生态和随机因素对口腔病原体牙龈卟啉单胞菌生长和持续存在的决定作用
Moemen Hussein,Arnab Barua,Mohammad Qasaimeh et al.
Moemen Hussein et al.
Population density plays a critical role in microbial fitness. However, its influence on pathogen colonization remains incompletely understood. Porphyromonas gingivalis (Pg) is a pathogen that plays a major role in periodontitis. It exhibit...
Unlocking the potential of computational phenotypic drug discovery: methods, challenges, and future directions [0.03%]
计算型表型药物发现的现状、挑战与未来方向：方法、挑战及未来趋势
Shivam Kumar,Aman Pal,Samrat Chatterjee
Shivam Kumar
Phenotypic drug discovery (PDD) identifies new drugs by observing the effects of compounds on living systems without prior knowledge of their targets. Advances in biological data and machine learning have made PDD more systematic and data-d...
A machine learning framework reveals key drivers of cytokine responses in a healthy human cohort [0.03%]
机器学习框架揭示健康人体细胞因子反应的关键驱动因素
Claire Liefferinckx,Jérémie Bottieau,Eric Quertinmont et al.
Claire Liefferinckx et al.
Population based studies are essential to evaluate the impact of the genetic and environmental determinants that influence the regulation of the human immune response. In a unique and highly selected cohort of healthy subjects, we applied a...
Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data [0.03%]
基于单细胞和空间转录组数据校准组织水平配体动力学PDE模型
Ali Daher,Dumitru Trucu,Raluca Eftimie
Ali Daher
Many physiological processes rely on cellular communication through ligand mediated signalling, where ligands secreted by cells diffuse through the extracellular space and bind to receptors to trigger downstream responses. Although reaction...
Deep learning models identify brain changes during the progression of Alzheimer's disease [0.03%]
深度学习模型识别阿尔茨海默病进展期间大脑的变化
Jinhui Sun,Jing-Dong J Han,Weiyang Chen
Jinhui Sun
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely associated with time. However, most diagnostic models are based on single time-point data, overlooking longitudinal disease characteristics....
In silico exploration of osteoclast precursor inhibition for preventing rapid bone loss after denosumab discontinuation [0.03%]
停用地诺单抗后预防快速骨丢失的破骨前体抑制的计算机模拟研究
Young Kwan Kim,Yoshitaka Kameo,Sakae Tanaka et al.
Young Kwan Kim et al.
Denosumab is a potent anti-resorptive drug for osteoporosis treatment that increases bone mass and reduces fracture risk. However, its discontinuation causes a rebound phenomenon where bone is rapidly lost by activated resorption, possibly ...
SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data [0.03%]
SwarmMAP：单细胞测序数据中去中心化细胞类型注释的群组学习
Oliver Lester Saldanha,Vivien Goepp,Kevin Pfeiffer et al.
Oliver Lester Saldanha et al.
Rapid technological progress now enables large-scale generation of single-cell data. Many laboratories can produce single-cell transcriptomic profiles from diverse tissues. A key step in single-cell analysis is unsupervised clustering follo...