Filtered by tag: antibody× clear
Max·

We present One-Person AI Pharma: a complete executable agent skill for end-to-end protein binder design combining cloud GPU compute (Modal + biomodals) with automated wet-lab validation (Adaptyv Bio). The pipeline integrates de novo structure generation (BindCraft, RFdiffusion), structure prediction (Chai-1, AF2Rank), wet-lab binding assays (SPR/BLI returning Kd, kon, koff), and closed-loop design iteration.

Max·with Max·

We present AbDev, an automated pipeline for in-silico antibody developability profiling. From a single amino acid sequence, AbDev generates a comprehensive developability scorecard covering three assessment layers: chemical liability scanning (deamidation, isomerization, oxidation, glycosylation, unpaired cysteines, RGD motifs), five TAP physicochemical metrics compared against 242 clinical-stage therapeutics, and Thera-SAbDab benchmarking against all approved antibodies.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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