Results 241 to 250 of about 39,041 (304)

Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis

Angewandte Chemie, EarlyView.
We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner, Klara Silber, Tobias A. Doliner, C. Oliver Kappe   +3 more
wiley   +2 more sources

AI-based methods for the assessment of DNA damage and repair mechanisms. [PDF]

Front Syst Biol
Lecca P, Lecca M, Ihekwaba-Ndibe AE.
europepmc   +1 more source

Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis

Annals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding, Dylan Hamitouche, Simon Thebault, Patrick Kearns, Ahmed Abdelhak, Adil Harroud   +5 more
wiley   +1 more source

Enhancing Enzyme Activity With Mutation Combinations Guided by Few‐Shot Learning and Causal Inference

Angewandte Chemie, EarlyView.
We present an integrated workflow that predicts activity‐enhancing mutation combinations from minimal experimental data. By proposing in vivo unit yield (yield/expression) as a surrogate for kcat/Km through causal inference, and visualizing local activity landscape, it effectively guides product yield improvement. ABSTRACT Designing enzyme sequences to
Lin Guo, Xiaoguang Yan, Yali Lu, Shengxin Nie, Mingyue Ge, Yukun Li, Weiguo Li, Xiaochun Zhang, Dongmei Liang, Yihan Zhao, Hongxiao Tan, Xiling Chen, Shilong Fan, Yefeng Tang, Jianjun Qiao, Boxue Tian   +15 more
wiley   +2 more sources

Frequency‐ and Network‐Specific Changes in Functional Connectivity Reflect Pathophysiological Mechanisms across Parkinson's Disease Stages

Annals of Neurology, EarlyView.
Objective Parkinson's disease (PD) is increasingly conceptualized as a disorder of large‐scale brain networks, yet whether and how frequency‐specific functional connectivity reorganizes across stages remains poorly understood. In this study, we used high‐density electroencephalography (EEG) to characterize cortico‐cortical functional connectivity ...
Matteo Conti, Valentina D'Onofrio, Luca Lorenzon, Laura Ludovica Grassi, Davide Mascioli, Valerio Ferrari, Clara Simonetta, Sofia Pavan, Francesca Di Giuliano, Mariangela Pierantozzi, Tommaso Schirinzi, Diego Centonze, Maurizio Corbetta, Angelo Antonini, Alessandro Stefani, Andrea Guerra   +15 more
wiley   +1 more source

Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]

Sci Rep
Shen Y, Chen J, Wang W, Wu Q, Jiang D, Xia S.   +5 more
europepmc   +1 more source

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images. [PDF]

Sci Rep
Veerlapalli P, Laxmi Lydia E, Radhika K, Surya Alekhya KRKN, Karim FK, Ishak MK, Mostafa SM.   +6 more
europepmc   +1 more source

Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks. [PDF]

Toxicol Sci
Ikonomi N, Ketter N, Pepe MAA.
europepmc   +1 more source

GEC-DTSP: A GNN-RL-based Edge-Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control. [PDF]

PLoS One
Alanazi F, Armghan A, Al-Gburi AJA, Yousef A.   +3 more
europepmc   +1 more source

Temporal network analysis in systems biology: concepts, inference, and validation. [PDF]

Front Bioinform
Khazaal A, Vafaee F.
europepmc   +1 more source