Virtual High-Throughput Screening
Screening data you can trust.

Screening data prepared through Stream, then prioritised in silico — reviewable by your researchers.

High-Throughput Screening module in the Lead AI Platform
Supported workflowHigh-Throughput Screening Support

Why teams come
to us for this.

High-throughput screening generates huge datasets. Structures, units, duplicates and provenance must be right before any ranking is trusted.

  • A model-ready screening dataset with provenance
  • Analysis linked to its evidence
  • Prioritisation kept inside scientific review

In silico screening on a dependable data foundation.

01

Screening-data preparation

Structures and units standardised, duplicates resolved, plausibility checked.

High-Throughput Screening — Screening-data preparation
02

Recorded provenance

A data card with origin, treatment, test split and version.

High-Throughput Screening — Recorded provenance
03

Relevant-context retrieval

Related scientific sources pulled in, citations attached.

High-Throughput Screening — Relevant-context retrieval
04

Reviewable prioritisation

Output organised for the next decision, under researcher judgement.

High-Throughput Screening — Reviewable prioritisation

Built for

Research leadershipScreening teamsData science and AI leadership

The rest of the Research & Development

Want High-Throughput Screening running on your data?

Tell us the process or prediction you need. We'll map it to a module, a deployment and an honest timeline.

Bring your challenge.
Let’s find the right next step.

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