Structural Phylogenetic Signal Fails at Deep Time: A Bayesian Treebank Analysis of the Transeurasian Languages. [PDF]
Li W, Liu H.
europepmc +1 more source
This study identifies that the PD‐associated TMEM175‐L156P variant disrupts lysosomal ion channel trafficking by causing aberrant endoplasmic reticulum retention. A “chaperone–agonist” bifunctional small molecule restores TMEM175‐L156P lysosomal localization and channel function, thereby alleviating PD‐relevant cellular phenotypes and highlighting a ...
Ting Luo +17 more
wiley +1 more source
Inheritance entropy: A model-independent method to probe the hereditary structure of cell lineage trees. [PDF]
Allegrezza A +16 more
europepmc +1 more source
Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States
Manipulation of intranuclear divalent cation concentrations rapidly and reversibly remodels chromatin packing domains in living cells. Magnesium depletion disrupts domain compaction, heterochromatin organization, and transcriptional regulation, whereas magnesium loading promotes more compact and stable domains.
Cody L. Dunton +13 more
wiley +1 more source
s_mmpbsa: A Lite and Cross-Platform MM-PBSA Program. [PDF]
Zhang J, Gu T, Li C, Qi W.
europepmc +1 more source
Tied to Work: Topologically Knotted SPOUT Methyltransferases and UCH Deubiquitinases in Cellular Biochemistry. [PDF]
Hsu SD.
europepmc +1 more source
Substrate Engineering of SWCNT p–n Junctions for Dual‐Mode Power Generation and Heat‐Flux Sensing
Through substrate engineering alone, a single‐walled carbon nanotube p–n junction device switches between two functions under uniform infrared irradiation. A low‐absorbance substrate sustains a central hot junction for continuous power generation, whereas high‐absorbance substrates transiently invert the temperature gradient for sensitive heat‐flux ...
Ryota Tamai +3 more
wiley +1 more source
TGDBN: Topology-guided dual-backbone network for semi-supervised blastocyst segmentation in assisted reproductive technology. [PDF]
Li Y, Wang H, Hu J, Zhang J.
europepmc +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Objective Multi-Metric Fusion for Critical Node Identification via CRITIC and Global-Local Context Modeling. [PDF]
Cai P, Lu C, Huang Y, Xie Y.
europepmc +1 more source

