In silico workflow for selection of genes targeted in this study. We have identified a number of proteins involved in host cell modification by malaria parasites. Furthermore, we highlight a number of genes that appear to be essential for blood‐stage survival of these parasites.
Nina Küster+4 more
wiley +1 more source
Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. [PDF]
Zhao D+6 more
europepmc +1 more source
Summary The first step in chloroplast de novo fatty acid synthesis is catalysed by acetyl‐CoA carboxylase (ACCase). As the rate‐limiting step for this pathway, ACCase is subject to both positive and negative regulation. In this study, we identify a Chlamydomonas homologue of the plant carboxyltransferase interactor 1 (CrCTI1) and show that this protein
Zhongze Li+8 more
wiley +1 more source
Network of artificial olfactory receptors for spatiotemporal monitoring of toxic gas. [PDF]
Baek Y+8 more
europepmc +1 more source
ABSTRACT HLA typing of large donor registries and biobanks as well as acute single patient/donor samples remains expensive, slow and logistically challenging, despite recent developments in the field. We have tested and validated a cost‐effective, accurate and highly scalable method for typing specific genes in the HLA region.
Frederikke Byron Pedersen+5 more
wiley +1 more source
Autonomous medical evaluation for guideline adherence of large language models. [PDF]
Fast D+11 more
europepmc +1 more source
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers. [PDF]
Geiger RS, O'Sullivan F, Wang E, Lo J.
europepmc +1 more source
The Two Word Test as a semantic benchmark for large language models. [PDF]
Riccardi N, Yang X, Desai RH.
europepmc +1 more source
Large language model based mutations in genetic improvement. [PDF]
Brownlee AEI+7 more
europepmc +1 more source
LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection. [PDF]
Lee W, Lee J, Kim H.
europepmc +1 more source