Results 151 to 160 of about 72,992 (289)

Pancancer Fine‐Mapping of Mutational Intolerance Identifies CHEK1 as an Immunosuppressive Driver in Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang   +16 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

open access: yesAdvanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi   +4 more
wiley   +1 more source

Immune Checkpoint Inhibitors and Immunomodulators for Cancer Immunotherapy: Insights Into Resistance and Therapeutic Strategies

open access: yesAdvanced Science, EarlyView.
The schematic diagram illustrates the roles of novel immune checkpoints, immunomodulatory factors, cell death and multimodal technologies in cancer immunotherapy. Abstract Cancer immunotherapy has redefined cancer treatment. However, the molecular and cellular basis of immune evasion and therapeutic resistance remains incompletely understood.
Fangquan Chen   +7 more
wiley   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

open access: yesAdvanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang   +5 more
wiley   +1 more source

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