Results 161 to 170 of about 12,301 (257)

Kinesin‐Induced Buckling Reveals the Limits of Microtubule Self‐Repair

Advanced Science, EarlyView.
This study shows that kinesin‐driven buckling induces extensive microtubule lattice damage that often exceeds intrinsic self‐repair and leads to filament failure. While curvature, motor motility, and force individually cause limited damage, their combination overwhelms repair.
Shweta Nandakumar, Jonas Bosche, Mirko Wieczorek, Constantin Matteo Albrecht, Belinda König, Mona Grünewald, Ludger Santen, Stefan Diez, Reza Shaebani, Laura Schaedel   +9 more
wiley   +1 more source

ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology

Advanced Science, EarlyView.
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li, Sifei Yu, Kaidong Lu, Yujie Zhang, Mingjie Dong, Yan Peng, Liang Xue, Waleed Alam, Yuxuan Shui, Yi Zhou, Wuyunhan Ma, Meng Bao, Peiming Li, Peiyi Luo, Tiezhan Lu, Jiajia Li, Kang Zhang, Yuying Wang, Shuchen Yang, Nuoya Yin, Francesco Faiola, Zilong Gao, Jingfeng Zhou, Fei Zhao, Yali He, Magdalena J. Koziol   +25 more
wiley   +1 more source

Physically Consistent Self-Diffusion Coefficient Calculation with Molecular Dynamics and Symbolic Regression. [PDF]

Int J Mol Sci
Angelis D, Georgakopoulos C, Sofos F, Karakasidis TE.   +3 more
europepmc   +1 more source

Polyelectrolyte Design Principles for Electrophoretic Drug Delivery

Advanced Science, EarlyView.
Structure–property–function mapping of polyelectrolytes reveals how composition and nanoscale order control on‐demand electrophoretic drug transport. Charge density quantified under implant‐relevant conditions shows that encapsulation limits swelling, enabling high effective charge density.
Helena Saarela Unemo, Iwona Bernacka‐Wojcik, Lingkai Zhu, Marle E. J. Vleugels, Moa E. Hörberg, Caroline Lindholm, Magnus Berggren, Daniel T. Simon, Theresia Arbring Sjöström   +8 more
wiley   +1 more source

LogicSR: prior-guided symbolic regression for gene regulatory network inference from single-cell transcriptomics data. [PDF]

Brief Bioinform
Zhang D, Liu ZP, Gao R.
europepmc   +1 more source

Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis

Advanced Science, EarlyView.
Additive and partially dominant effects, namely at mid‐parent levels or values between mid‐parent and parental levels, respectively, are the predominant inheritance patterns of heterosis‐associated molecules. These two genetic effects contribute to heterosis of agronomic traits in both rice and maize, as well as biomass heterosis in Arabidopsis ...
Zhiwu Dan, Yunping Chen, Wei Zhou, Yanghong Xu, Junran Huang, Yi Chen, Jizhou Meng, Guoxin Yao, Wenchao Huang   +8 more
wiley   +1 more source

Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic Regression. [PDF]

Syst Control Trans
Cohen BG, Beykal B, Bollas GM.
europepmc   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Predicting flexural strength of hybrid FRP-steel reinforced beams using symbolic regression and ML techniques. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source