Results 131 to 140 of about 184,784 (335)

Purification of the LSTRA tyrosine protein kinase (p56^lck) [PDF]

, 1988
Huynh VAN TAN, Siegmund Fischer, Rémi Fagard   +2 more
openalex   +1 more source

Functional Biomaterials Derived from Protein Liquid–Liquid Phase Separation and Liquid‐to‐Solid Transition

Advanced Materials, EarlyView.
Protein can undergo liquid–liquid phase separation and liquid‐to‐solid transition to form liquid condensates and solid aggregates. These phase transitions can be influenced by post‐translational modifications, mutations, and various environmental factors.
Tianchen Li, Dea Ilhamsyah, Benedict Tai, Yi Shen   +3 more
wiley   +1 more source

Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

Advanced Materials, EarlyView.
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu, Won Joon Kim, Hyunjin Lee, Xiaoping Bao, Pilnam Kim   +4 more
wiley   +1 more source

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection [PDF]

arXiv
Phosphorylation site prediction based on kinase-substrate interaction plays a vital role in understanding cellular signaling pathways and disease mechanisms. Computational methods for this task can be categorized into kinase-family-focused and individual kinase-targeted approaches.
arxiv  

Regulation of a rat lung protein tyrosine kinase activity by reversible phosphorylation/dephosphorylation [PDF]

, 1988
Ashok Kumar Srivastava, Jean‐Louis Chiasson   +1 more
openalex   +1 more source

DNA‑Directed Assembly of Photonic Nanomaterials for Diagnostic and Therapeutic Applications

Advanced Materials, EarlyView.
DNA‐directed assembly offers a powerful strategy for constructing structured photonic nanomaterials with precise spatial control. This review provides a comprehensive overview of recent advancements in DNA‐assembled photonic nanomaterials for diagnostics and therapeutics, highlighting key design principles, functionalization strategies, and optical ...
Longjiang Ding, Bing Liu, Andreas Peil, Sisi Fan, Jie Chao, Na Liu   +5 more
wiley   +1 more source

Using QCM‐D for Real‐Time Analysis of Cell Adhesion Dynamics at Biointerfaces

Advanced Materials Interfaces, EarlyView.
This study explores adhesion of human fibroblasts to functionalized biomaterial surfaces. Quartz crystal microbalance with dissipation (QCM‐D) is used to measure cell responses in real time. The QCM‐D signalis correlated with changes in cell morphology and focal adhesion kinase (FAK) activation. This data shows a positive correlation between the energy
Agnes Rogala, Hanna Tiainen, Daria Zaytseva‐Zotova   +2 more
wiley   +1 more source

The molecular genetics of RASopathies: An update on novel disease genes and new disorders

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, Volume 190, Issue 4, Page 425-439, December 2022., 2022
Abstract Enhanced signaling through RAS and the mitogen‐associated protein kinase (MAPK) cascade underlies the RASopathies, a family of clinically related disorders affecting development and growth. In RASopathies, increased RAS‐MAPK signaling can result from the upregulated activity of various RAS GTPases, enhanced function of proteins positively ...
Marco Tartaglia, Yoko Aoki, Bruce D. Gelb   +2 more
wiley   +1 more source

Spatiotemporal Transcriptomic Profiling Reveals the Dynamic Immunological Landscape of Alveolar Echinococcosis

Advanced Science, EarlyView.
An unprecedented high‐resolution spatial atlas of the E. multilocularis infection foci is obtained, revealing the dynamic functions of neutrophils, Spp1+ macrophages, and fibroblasts during disease progression. The transition of parasite control strategy from “active killing” to “negative segregation” by the host may provide instructive insights into ...
Zhihua Ou, Li Li, Peidi Ren, Ting‐Ting Zhou, Fan He, Jialing Chen, Huimin Cai, Xiumin Han, Yao‐Dong Wu, Jiandong Li, Xiu‐Rong Li, Qiming Tan, Wenhui Li, Qi Chen, Nian‐Zhang Zhang, Xiuju He, Wei‐Gang Chen, Yanping Zhao, Jiwen Sun, Qian Zhang, Yan‐Tao Wu, Yingan Liang, Jie You, Guohai Hu, Xue‐Qi Tian, Sha Liao, Bao‐Quan Fu, Ao Chen, Xue‐Peng Cai, Huanming Yang, Jian Wang, Xin Jin, Xun Xu, Wan‐Zhong Jia, Junhua Li, Hong‐Bin Yan   +35 more
wiley   +1 more source

Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors [PDF]

arXiv
The intersection of artificial intelligence and bioinformatics has enabled significant advancements in drug discovery, particularly through the application of machine learning models. In this study, we present a combined approach using genetic algorithms and deep learning models to address two critical aspects of drug discovery: the generation of novel
arxiv