Identification and Validation of YWHAZ Using AI Generated Prompts

Abstract excerpt

Artificial intelligence–assisted prompting offers a transformative strategy for rapidly identifying and contextualizing biological targets. Using Swalife PromptStudio, we present a case study of YWHAZ (14-3-3ζ) which is a multifunctional signaling adaptor that integrates diverse cellular pathways, including PI3K/AKT, MAPK, apoptosis, and cell cycle regulation. Multi-omics profiling reveals consistent overexpressio...

Topics

Open a Topic to create a Post that cites this publication.

• Bioinformatics and Genomic Networks
• Cancer Genomics and Diagnostics
• Gain of Function Mutation
• Genome-Wide Association Study
• Multiomics
• Mutation
• Precision Medicine
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

b545ab77-d951-5997-8840-50da11ab0bc7

DOI

10.20944/preprints202509.2218.v1