Systematic data-driven genome-scale metabolic model reduction for bioprocess modeling: CHO culture case study [0.03%]
基于系统的数据驱动型基因组范围代谢模型简化在生物过程建模中的应用：CHO培养案例研究
Athanasios Antonakoudis,Anne Richelle
Athanasios Antonakoudis
Genome-scale metabolic models (GEMs) enable mechanistic insight into cellular metabolism, but their size and underdetermination hinder use in dynamic bioprocess simulation and real-time digital twins. Compact models are essential, yet exist...
Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space [0.03%]
基于静息态功能连接信息的嵌入空间中推理主要精神障碍之间的关系
Wenjun Bai,Okito Yamashita,Yuki Sakai et al.
Wenjun Bai et al.
Major neuropsychiatric disorders such as major depressive disorder (MDD) and schizophrenia (SCZ), as well as the neurodevelopmental disorder autism spectrum disorder (ASD), are traditionally treated as distinct clinical entities. However, g...
Diana García-Cortés,Enrique Hernández-Lemus,Jesús Espinal-Enríquez
Diana García-Cortés
Cancer cells display common features and enabling characteristics collectively known as the Hallmarks of Cancer, which occur alongside alterations in the regulatory mechanisms controlling gene transcription. Gene co-expression networks (GCN...
Mariana Monteiro,James Morrissey,Cleo Kontoravdi
Mariana Monteiro
Metabolic network models are widely used in systems and synthetic biology to study cellular metabolism from microbes to mammals. However, their application to mammalian cells remains limited by the scarcity of intracellular flux measurement...
L A Murray,A P Quinn,C Pinali et al.
L A Murray et al.
Myofibril arrangement is critical to cardiac muscle function in health and disease. Historically, analysis of the impact of myofibril organisation on force and cell contraction has relied on the assumption of uniaxial arrays. However, impro...
A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors [0.03%]
连续生物反应器中细菌的在线监测的一种双荧光自动流动检测方法
Juan López-Gálvez,Erik Schönfelder,Hanna Mayer et al.
Juan López-Gálvez et al.
In biotechnological processes, cell density and physiology are critical parameters for controlling the feed rate, harvest time, and process performance. We developed an automated flow cytometry approach that enables continuous, real-time (f...
A proteome optimal allocation model for elucidating effects of temperature on bacterial growth [0.03%]
一种蛋白质组最优分配模型用于阐明温度对细菌生长的影响
Deyu Wang,Qing Zhang,Hualin Shi
Deyu Wang
Although considerable research has been conducted on how bacteria respond to temperature, there are still few studies that use simple protein allocation models to characterize these responses. To bridge this gap, we utilize a protein alloca...
Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities [0.03%]
高维生物物理中的统一理论：方法、挑战和机遇
Marianne Bauer,Akshit Goyal,Sidhartha Goyal et al.
Marianne Bauer et al.
Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop ‘Unifying Theories in High-Dimensional Biophysics’, we discussed whether this high dimensionality poses a challenge...
The SjD Map: an interactive pathway tour into Sjögren's disease signalling mechanisms [0.03%]
SjD地图：一种交互式的途径游览进入Sjögren信号机制
Sacha E Silva-Saffar,Xavier Mariette,Jacques-Eric Gottenberg et al.
Sacha E Silva-Saffar et al.
Sjögren's disease (SjD) remains a major unmet medical challenge, characterised by biological complexity, patient heterogeneity, and the absence of curative treatments. To advance mechanistic understanding and support therapeutic discovery,...
KinForm: kinetics-informed feature optimised representation models for enzyme kcat and KM prediction [0.03%]
基于动力学信息的酶kcat和KM预测的优化表示模型 KinForm
Saleh Alwer,Ronan M T Fleming
Saleh Alwer
Kinetic parameters such as the turnover number (kcat) and Michaelis constant (KM) are essential for modelling enzymatic activity but experimental data remains limited in scale and diversity. Previous methods for predicting enzyme kinetics t...