Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Molecular glue degrader activity prediction from SMILES and protein sequence, with two-stage cross-attention that follows E3-then-substrate binding.
Molecular glue degrader design model that jointly generates the glue molecule and the E3 ligase-target ternary complex from unbound monomers.
Designs synthesizable PROTAC degraders from reaction templates and purchasable building blocks, with reinforcement learning tuning the generator.
Protein degrader design framework that mines fragment-target data to build PROTACs and predicts degradation potency (DC50) and maximal degradation.
PROTAC degrader generation pipeline that screens target-binding fragments, then builds molecules under structure and physicochemical constraints.