Connor McShaffrey,Eran Agmon,Randall D Beer
Connor McShaffrey
Many cell models deal with constraints for life's persistence, yet we lack principles for how dynamics interact with them and their origins in actual biology. Computational biology needs a theory of viability that confronts the life-death b...
Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks [0.03%]
基于继任图的马尔可夫链揭示了异步布尔网络的吸引子景观
Kyu Hyong Park,Réka Albert
Kyu Hyong Park
Comprehensive analysis of the dynamics of Boolean models of biological systems is hampered by the exponentially large state space. Here we introduce the succession-diagram-based Markov chain (SD Markov chain), a coarse-grained representatio...
AI-enhanced approaches for personalized cardiac treatment: insights from ECG data [0.03%]
基于心电图数据的个性化心脏病治疗的AI增强方法初探
Vibha Tiwari,Rohit Gupta,Akshada Telang et al.
Vibha Tiwari et al.
The analysis of drug-induced alterations in the electrocardiogram (ECG) is essential in measuring cardiac safety, but manual analysis is not always accurate enough to identify subtle but important effects. This paper examines how machine le...
Multiscale modeling reveals synergy between CCL19 and PD-1 blockade in reshaping the TNBC microenvironment [0.03%]
多尺度模型揭示了CCL19和PD-1阻断在重塑三阴性乳腺癌微环境中的协同作用
Chunjie Gao,Chenghang Li,Lei Du et al.
Chunjie Gao et al.
Triple-negative breast cancer (TNBC) presents a major clinical challenge owing to its immunosuppressive tumor microenvironment, target scarcity, and poor therapeutic response. Recently, the combination therapy of immune checkpoint blockade ...
Network hypermotifs in biological systems: structure, dynamics, and functional implications [0.03%]
生物系统中的网络超图及其结构、动力学和功能含义
Moirangthem Sailash Singh,Priyan Bhattacharya,Karthik Raman
Moirangthem Sailash Singh
Biological networks exhibit complex structural organization, from motifs, which are recurring patterns of gene, protein, and molecular interactions, to higher order assemblies such as hypermotifs. Hypermotifs are statistically significant h...
Dual RAF inhibition outperforms RAF-MEK combinations for suppressing ERK signaling in KRAS mutant cells [0.03%]
双重RAF抑制优于RAF-MEK联合抑制作用在KRAS突变细胞中抑制ERK信号通路
Hiroaki Imoto,Nora Rauch,Ayaka Ichikawa Nagasato et al.
Hiroaki Imoto et al.
Complex interactions among RAS, RAF, KSR, and MEK isoforms, together with their interplay with clinically used kinase inhibitors, hinder accurate predictions of drug efficacy and the choice of optimal inhibitor combinations. Here, we combin...
Revealing novel subtypes of synovial sarcoma through single cell transcriptomics [0.03%]
通过单细胞转录组学揭示新型滑膜肉瘤亚型
Artem L Toropov,Elena E Kopantseva,Alexander V Ikonnikov et al.
Artem L Toropov et al.
Synovial sarcoma (SyS) is a common type of soft tissue sarcoma, characterized by slow growth, high rates of metastasis, and diverse clinical symptoms. This malignancy is defined by the presence of the SS18-SSX fusion protein and the corresp...
Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases [0.03%]
针对蛋白质相互作用及其调节因子的靶向以实现人类疾病的新治疗策略
Aftab Alam,Maria J Fernandez Cabezudo,Rifat Hamoudi et al.
Aftab Alam et al.
Protein-protein interactions (PPIs) are essential for cellular processes and play central roles in disease mechanisms, making them important therapeutic targets. This review explores how integrating artificial intelligence (AI) and deep lea...
PYEAST - A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering [0.03%]
PYEAST-用于模式生物酿酒酵母遗传工程的计算工具包
Abubakar Madika,Ankita Suri,Anjali Purohit et al.
Abubakar Madika et al.
Saccharomyces cerevisiae is a widely used biotechnological workhorse in both academic and industrial settings. One reason for its continued popularity is the extensive legacy of genetic tools, developed over its long history of use, that en...
Extracellular matrix-driven patient stratification and network modeling reveal distinct molecular grades with potential clinical implications [0.03%]
基于细胞外基质的患者分层和网络模型揭示了具有潜在临床意义的不同分子亚型
Aslı Dansık,Sevgi Sarıca,Ece Öztürk et al.
Aslı Dansık et al.
The extracellular matrix (ECM) critically shapes tumor fate and treatment outcome, serving as a potent prognostic factor. Yet, its compositional heterogeneity across tumors makes it difficult to assess its impact on tumor dynamics. To addre...