Surface 2 brings AlphaFold-class protein structure prediction, multi-model ensemble comparison, and disease-variant interpretation to every researcher — no GPU required.
Run Alpha, Beta, Gamma, and Delta simultaneously and compare predictions side-by-side in the built-in structure viewer.
Visualise wild-type vs mutant structures with pLDDT confidence overlays and AlphaMissense pathogenicity scores.
Surface AI-predicted drug-disease associations with confidence scores and DrugBank cross-references.
Assemble publication-ready reports from structure predictions, evidence snippets, and model comparison outputs.
Explore gene-disease associations, mechanism hypotheses, and evidence snippets linked to live PubMed citations.
All inference runs on Surface 2's managed compute layer. Researchers access results through the browser.
From sickle cell polymerisation to antibiotic resistance — visualise the exact structural changes behind the mechanisms you're studying.
Explore student use cases →Run mini research projects with reproducible outputs, EvidenceLog tracking, and structured 1,500-word reports suitable for residency applications.
Explore research track →7 therapeutic area pipelines — oncology, rare disease, AMR, vaccine design, neurodegeneration, cardiology, pediatrics. Structured output in PDF, JSON, and DOCX.
Explore Pharma RaaS →Enter a gene name, paste a FASTA sequence, or select from 7 therapeutic area templates.
Choose from Alpha, Beta, Gamma, or Delta — or run all four as an ensemble.
Surface 2's compute layer runs prediction and co-folding. Live progress in the Run Monitor.
Interactive 3D structure, confidence overlays, drug candidates, evidence snippets, and exportable reports.