Back the right biology

I'm working on MASH (metabolic dysfunction-associated steatohepatitis). Identify the top genetically supported targets from GWAS, validate causality using Mendelian Randomization, cross-reference with CRISPR essentiality and druggability, and give me a GO/NO-GO assessment for each.

Starting from the top 200 DEGs in PIK3CA-mutant breast cancer, run pathway enrichment, build the protein interaction network, and identify the 3 most central hub proteins as potential combination therapy targets.

I want to assemble four BioBrick parts - a promoter, RBS, GFP coding sequence, and terminator - using Gibson assembly. Show me the assembly order and overlap regions as a network diagram.

Predict the structure of the EGFR L858R mutant, compare it to the WT AlphaFold model, identify the structural impact at the ATP binding site, and dock osimertinib to assess binding pose changes.

We have a GEO dataset of NSCLC tumor vs. adjacent normal - run the full pipeline: find the top DEGs, map them to immune pathways, deconvolve the tumor microenvironment, and give me a slide-ready summary with the volcano plot and immune composition chart.