Results 191 to 200 of about 8,194,450 (255)

MARK4 enhances stress granule formation under oxidative stress and increases tau accumulation

FEBS Open Bio, EarlyView.
MARK4 (red dots) localizes to stress granules (orange dots) and promotes their formation under oxidative stress by modulating TIA1 (blue dots). MARK4 and TIA1 synergistically increase tau (purple) accumulation, and the reduction of the TIA1 ortholog suppresses neurodegeneration in a fly model.
Sho Nakajima, Kotone Watanabe, Grigorii Sultanakhmetov, Aoi Fukuchi, Keiya Ito, Sawako Shimizu, Taro Saito, Akiko Asada, Kanae Ando   +8 more
wiley   +1 more source

Decoupled dual-granularity rebalanced pyramid network for drug-target interaction prediction. [PDF]

Brief Bioinform
Dong Z, Zhang Y, Shi Y, Zhang C, Han C, Li H, Gao Y, Fu W, Lu Y, Ren P, Liang L, Liu Z.   +11 more
europepmc   +1 more source

Identification and characterization of a gene conferring stress resistance in Escherichia coli and cyanobacteria

FEBS Open Bio, EarlyView.
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada, Takaaki Tanaka, Manaka Uehara, Keigo Nakano, Ken Morishima, Rintaro Inoue, Masaaki Sugiyama, Masafumi Yohda   +7 more
wiley   +1 more source

TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction prediction. [PDF]

Brief Bioinform
Yun GH, Park JH, Cho YR.
europepmc   +1 more source

TRPML1 agonist ML‐SA5 attenuates pulmonary fibroblast activation by suppressing mTOR and restoring autophagic flux

FEBS Open Bio, EarlyView.
TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao, Xiaoting Kang, Lulu Meng, Shaoxuan Zhang, Qiujie Li, Jinyu Zhou, Mengyue Xue, Chu Li, Hua Zhu, Pengzhou Hang, Jing Zhao   +10 more
wiley   +1 more source

Contrastive learning in both structure and function spaces improve drug-target interaction prediction. [PDF]

BMC Bioinformatics
Zhang Y, Chen L, Luo H, Li T, Xiong S, Wang Z, Zou Q, Zhang W.   +7 more
europepmc   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Enhancing Local Functional Structure Features to Improve Drug-Target Interaction Prediction. [PDF]

Int J Mol Sci
Feng B, Du H, Tong HHY, Wang X, Li K.
europepmc   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

AD-LSF: A Multimodal Framework for Drug-Target Interaction Prediction Based on Asymmetric Dynamic Gated Modulation and Adaptive Latent Signal Fusion. [PDF]

ACS Omega
Li B, Cao Z, Chen J, Xie J.
europepmc   +1 more source