Saumya Shukla,Raghvendra Singh
Saumya Shukla
High Wnt and low Notch activities characterize epidermal stem cells (SCs), while low Wnt and high Notch activities characterize the terminally differentiated epidermal cells (TDCs). However, the mechanism by which transit amplifying cells (...
Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming [0.03%]
基于转录组的布尔网络数据驱动推理以预测细胞分化和重编程
Stéphanie Chevalier,Julia Becker,Yujuan Gui et al.
Stéphanie Chevalier et al.
Boolean networks provide robust, explainable, and predictive models of cellular dynamics, especially for cellular differentiation and fate decision processes. Yet, the construction of such models is extremely challenging, as it requires int...
Integrative structural profiling and ligand optimisation across the transthyretin mutational landscape [0.03%]
整合结构分析及药物优化在转甲状腺素蛋白突变谱系中的应用
Ugo Lomoio,Valentina Carbonari,Federico Manuel Giorgi et al.
Ugo Lomoio et al.
Transthyretin amyloidosis (ATTR) is a genetically diverse disorder caused by destabilising mutations in the transthyretin (TTR) protein, leading to pathological aggregation. While stabilisers like tafamidis and acoramidis are approved, thei...
Machine learning and data-driven inverse modeling of metabolomics unveil key processes of active aging [0.03%]
基于机器学习和数据驱动的代谢组-inverse模型揭示活性衰老的关键过程
Jiahang Li,Martin Brenner,Iro Pierides et al.
Jiahang Li et al.
Physical inactivity and low fitness have become global health concerns. Metabolomics, as an integrative approach, may link fitness to molecular changes. In this study, we analyzed blood metabolomes from elderly individuals under different t...
Leveraging quantitative systems pharmacology modeling for elranatamab regimen optimization in relapsed or refractory multiple myeloma [0.03%]
利用定量系统药理学模型优化Elando-tamab方案以治疗复发或难治性多发性骨髓瘤
Kamrine E Poels,Mohamed Elmeliegy,Jennifer Hibma et al.
Kamrine E Poels et al.
Elranatamab, an approved bispecific antibody (BsAb) for relapsed/refractory multiple myeloma, forms an immune synapse between the T-cell CD3 marker and B-cell maturation antigen (BCMA) on myeloma cells. Circulating soluble BCMA (sBCMA) is a...
Current state and open problems in universal differential equations for systems biology [0.03%]
系统生物学中通用微分方程的现状与存在问题
Maren Philipps,Nina Schmid,Jan Hasenauer
Maren Philipps
Universal Differential Equations (UDEs) combine mechanistic differential equations with data-driven artificial neural networks, forming a flexible framework for modelling complex biological systems. This hybrid approach leverages prior know...
Utility of the continuous spectrum formed by pathological states in characterizing disease properties [0.03%]
病理状态连续谱在特征疾病属性中的作用
Takashi Fujiwara,Yoshiaki Kariya,Kanata Kobayashi et al.
Takashi Fujiwara et al.
Understanding diseases as the result of continuous transitions from a healthy system is more realistic than understanding them as discrete states. Here, we designed the spectrum formation approach (SFA), a machine learning-based method that...
Leveraging agent-based models and deep reinforcement learning to predict taxis in cell migration [0.03%]
利用智能体基于模型和深度强化学习预测细胞迁移中的出租车 эффект
Daniel Camacho-Gomez,Raffaele Sentiero,Maurizio Ventre et al.
Daniel Camacho-Gomez et al.
We present a novel computational framework that combines Agent-Based Modeling (ABM) with Reinforcement Learning (RL) using the Double Deep Q-Network (DDQN) algorithm to determine cellular behavior in response to environmental signals. With ...
Optimal dosing of anti-cancer treatment under drug-induced plasticity [0.03%]
药物诱导的细胞 Plasticity 下的抗肿瘤治疗的最佳剂量选择
Einar Bjarki Gunnarsson,Benedikt Vilji Magnússon,Jasmine Foo
Einar Bjarki Gunnarsson
While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for non-genetic (epigenetic) mechanisms. Common anti-cancer drugs have recently been observed to induce the adoption of non-gene...
Ordinary differential equation model of cancer-associated fibroblast heterogeneity predicts treatment outcomes [0.03%]
癌症相关成纤维细胞异质性的常规微分方程模型可预测治疗效果
Junho Lee,Eunjung Kim
Junho Lee
Cancer-associated fibroblasts (CAFs) are key components of the tumor microenvironment (TME). CAF phenotypes are highly heterogeneous and exert anti- and protumorigenic effects. We present a mathematical model that describes cancer-immune-CA...