Results 151 to 160 of about 360,906 (263)

Gene-Polymorphism Effects on Growth Efficiency in the Kalmyk Breed of Central Asia. [PDF]

Genes (Basel)
Kazhgaliyev N, Nurgulsim K, Gabbassov M, Makhanbetova A, Zhanabayev A, Terlikbayev A, Assanbayev T, Toishimanov M, Sharapatov T.   +8 more
europepmc   +1 more source

Phase Separation of TRIM21 Modulates PTPN14 Stability to Drive Flow‐Dependent Endothelial Activation and Atherogenesis

Advanced Science, EarlyView.
Disturbed flow promotes the formation of TRIM21‐rich biomolecular droplets, which concentrate TRIM21 and PTPN14 and facilitate their SPRY‐FERM interaction (illustrated by the TRIM21 D355‐PTPN14 R132 salt bridge). This condensate‐driven proximity enables TRIM21 to catalyze K48‐linked polyubiquitination of PTPN14 at lysine 956, leading to proteasome ...
Xue He, Qiannan Ma, Xue Wang, Jiaxu Mang, Chufeng Li, Bingjun Wu, Liu Yao, Yequn Chen, Qiankun Bao, Yi Zhu, Jinlong He   +10 more
wiley   +1 more source

Association of the ABCB1 gene polymorphism C3435T (rs1045642) with acute myeloid leukemia: A genetic study. [PDF]

Hematol Transfus Cell Ther
Ullah R, Mazari N, Mustafa G, Hameed A, Khaliq S, Amar A, Haq FU, Khan AH, Naveed A.   +8 more
europepmc   +1 more source

A Synthetic Platform for Antibody Junctional Diversification Beyond Natural Constraints

Advanced Science, EarlyView.
ARESEC is a synthetic platform that reconstructs functional V(D)J recombination in HEK293T cells. By introducing RSS elements and co‐expressing RAG1/2 and TdT across all three antibody CDRs, it enables programmable junctional diversification and direct generation of high‐affinity variants targeting PD‐1/PD‐L1, overcoming the evolutionary constraints of
Wang Liu, Jun Yang, Yuhang Zhang, Xiaoli Xue   +3 more
wiley   +1 more source

<i>STK11</i> rs12977689 C>A gene polymorphism as a risk factor for coronary artery disease in type 2 diabetes patients. [PDF]

J Biomed Res
Sridana ME, Gotera W, Ari B, Dwi P, Sutanagera BAPD, Saraswati MR.   +5 more
europepmc   +1 more source

THSD7A Exacerbates Atherosclerosis via Activation of Signaling Axis αvβ3/CEBPD/IL1A

Advanced Science, EarlyView.
THSD7A exerts pro‐inflammatory effects and exacerbates atherosclerosis. Mechanistically, THSD7A regulates endothelial cell inflammation and atherosclerosis by activating the αvβ3/CEBPD/IL1A signaling axis. THSD7A is not only a genetic marker but also a potential therapeutic target for coronary artery disease (CAD).
Jiankun Liu, Hongfei Liu, Yiqi Wan, Andong Wu, Jiayu Qiu, Xueting Gong, Ya Zhao, Yuanyuan Li, Bingbing Zhou, Yangyi Zheng, Fang Wu, Yuanzheng Zhu, Weixin Lv, Xueer Li, Qiang Yuan, Xiao‐Li Tian   +15 more
wiley   +1 more source

Retraction: Associations of MMP-2 and MMP-9 gene polymorphism with ulinastatin efficacy in patients with severe acute pancreatitis. [PDF]

Biosci Rep
Li ZF, Zhen GD, Zhao LB, Wu SS, Chen MY, Li ZH, Zhou SZ.   +6 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Effect of telomere length and related gene polymorphism in signaling pathway on semen quality. [PDF]

Sci Rep
Jia X, Cao J, Zhang S, Feng K, Li J, Guo H, Qu X, Tao L, Yang Y, Wu A, Ling W, Zhang C, Tian Q, Zhang GH.   +13 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source