Results 201 to 210 of about 220,602 (307)
Metrics for Explainable AI: Challenges and Prospects [PDF]
Robert R. Hoffman +3 more
openalex +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Token-Level Attribution for Transparent Biomedical AI. [PDF]
Geukes Foppen RJ, Zoccoli A, Gioia V.
europepmc +1 more source
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution [PDF]
Nikaash Puri +6 more
openalex +1 more source
PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart +7 more
wiley +1 more source
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs. [PDF]
Thamrin SA, Chen ALP.
europepmc +1 more source
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth +6 more
wiley +1 more source

