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AI service — AI Medical · Drug discovery

Protein structure prediction

Predict protein and complex structure from sequence, embed sequences for downstream prediction, and design new backbones and sequences.

Send us your data volume, throughput and latency targets and any constraint we should design around. You get a proposed configuration, a benchmark on your own data, and a known cost per unit of work before you commit.

Structure prediction went from a decade-long experiment to a compute job, and that shift is what made the rest of this area possible. These models return 3D structure with confidence from sequence alone, or an embedding that a function predictor of your own is trained on.

Sequences arrive over your API or as a batch and come back as structures, embeddings or designed sequences. GPU memory is the binding constraint: complex prediction on long sequences is what drives the upper tiers below.

Every output is clinical decision support, not a diagnosis: a qualified professional reviews and signs it. Where clinical use requires regulatory approval in your jurisdiction, that approval remains yours to hold — we provide the infrastructure, the model operations and the audit trail behind it.

What we size for

We build the protein structure prediction pipeline around the workload you actually have: data format, accuracy target, latency, throughput, concurrency, retention and scheduling. Start with a pilot, then scale production capacity without changing a line of your integration.

AI models for Protein structure prediction →

Common use cases

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