Results 101 to 110 of about 947 (173)
Interplay between Inter- and Intramolecular Halogen-/Chalcogen-Bonding in Two-Molecule Aggregates Featuring Te<sup>II</sup>···I Secondary-Bonding Interactions and in Their Congeners. [PDF]
Gomila RM, Frontera A, Tiekink ERT.
europepmc +1 more source
This study revealed that a PEAR1/HIF‐1α/ glycolysis/lactate/H3K18la positive feedback loop in PMVECs that drives the development of S‐ALI. Mechanistically, PEAR1 mediates the binding of HIF‐1α to AARS1, leading to the lactylation of HIF‐1α, the primary lactylation site of which is K172.
Shuai Li +15 more
wiley +1 more source
An Information Manifold Perspective for Analyzing Test Data. [PDF]
Ramsay JO, Li J, Wallmark J, Wiberg M.
europepmc +1 more source
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong +6 more
wiley +1 more source
Colored HOMFLYPT counts holomorphic curves. [PDF]
Ekholm T, Shende V.
europepmc +1 more source
A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg +16 more
wiley +1 more source
Random Functions as Data Compressors for Machine Learning of Molecular Processes. [PDF]
Debnath J, Hummer G.
europepmc +1 more source
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
LAIOR: a hyperbolic neural ODE variational framework for interpretable single-cell manifold learning and trajectory inference. [PDF]
Fu Z, Fu J, Zhang K, Ran T, Chen C.
europepmc +1 more source
A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels +2 more
wiley +1 more source

