Results 131 to 140 of about 1,035,128 (230)

Control of ultrafast hot electron dynamics in epsilon-near-zero conductive oxide thin films. [PDF]

Sci Adv
Gurung S, Bej S, Dang Q, Sahoo A, Anopchenko A, Yi Z, Sokolov AV, Marini A, Lee HWH.   +8 more
europepmc   +1 more source

A Self‐Organized Liquid Reaction Container for Cellular Memory

Advanced Science, EarlyView.
How cells restore epigenetic information lost during replication is not known. This work proposes a mechanism based on the formation of biomolecular condensates. These condensates are induced by the chromosome itself and serve as reaction vessels for reconstructing missing epigenetic markers.
Sukanta Mukherjee, Enrico Skoruppa, Holger Merlitz, Jens‐Uwe Sommer, Helmut Schiessel   +4 more
wiley   +1 more source

Wrinkled Janus SMoSe-XS2 (X = Mo, W) heterostructures: coupling mechanical flexibility with enhanced HER. [PDF]

Front Chem
Li J, Xiong L.
europepmc   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Ca²⁺/calmodulin and protein kinase C (PKC) reverse the vesicle fusion arrest by unmasking PIP₂. [PDF]

Sci Adv
Moussa HYA, Shin KC, Park Y.
europepmc   +1 more source

Iron Carbides in Fischer–Tropsch Synthesis: Theoretical and Experimental Understanding in Epsilon-Iron Carbide Phase Assignment

, 2017
Xingchen Liu, Z. Cao, Shu Zhao, Rui Gao, Yu Meng, Jianping Zhu, Cameron R. Rogers, Chun-fang Huo, Yong Yang, Yong-wang Li, X. Wen   +10 more
semanticscholar   +1 more source

A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design

Advanced Science, EarlyView.
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu, Zhao‐Bin Ding, Dingyue Zhang, Sajjad Foroughi, Huanhao Chen, Zi‐Tao Yu, Jiyizhe Zhang, Lifeng Xiao, Martin J. Blunt, Xiaolei Fan, Qingyang Lin   +10 more
wiley   +1 more source

Programmable synthesis of alkaloidal frameworks integrating Michael acceptor generates covalent probes for targeting POLE3 in HBV replication. [PDF]

RSC Chem Biol
Kaneko N, Himeno M, Kobayashi Y, Tanifuji R, Kubota H, Mizoguchi H, Muroi M, Suzuki T, Sugiyama M, Dohmae N, Osada H, Kido T, Miyajima A, Oguri H.   +13 more
europepmc   +1 more source

A20 Facilitates Oxaliplatin Sensitivity in Colorectal Cancer Through Monoubiquitylation of IKK‐β

Advanced Science, EarlyView.
This study demonstrates that the expression of A20, a ubiquitin‐editing enzyme, is positively correlated with oxaliplatin sensitivity in colorectal cancer (CRC). Mechanistically, A20 enhances oxaliplatin sensitivity by inhibiting NF‐κB nuclear translocation through monoubiquitination of IKK‐β.
Fan Luo, Ting Yang, Jiaxin Cao, Qun Chen, Zhenhai Lu, Feiteng Lu, Chaozhuo Lin, Zengfei Xia, Yuanzhong Yang, Peng Li, Wenjuan Ma, Min Luo, Rongxin Zhang   +12 more
wiley   +1 more source

Potential mechanisms linking bacterial factors to the development and progression of multiple sclerosis. [PDF]

Infect Med (Beijing)
Jafari-Nakhjavanlou A, Irajian P, Zahedi Bialvaei A.   +2 more
europepmc   +1 more source