AGENT 18 / 11 · RETAIL & E-COMMERCE · LIFE SCIENCES & PHARMA R&D

Molecular Screening Acceleration Agent

Scores an entire compound library for likely target activity computationally, so wet-lab assays are spent confirming the most promising candidates instead of screening blind.

READS FROMCompound library, target structure database

MCP SERVERLife Sciences Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOBio-Statistical Analysis Assistant

RUN THE AGENT

Set your library and target, model the screening cost

Adjust library size and the agent's enrichment factor and it recalculates the wet-lab assays and cost needed to reach your target hit count instantly.

ASSUMPTIONS

Compound library size 100000

Traditional random-screening hit rate 0.1%

Agent enrichment factor (× more likely to hit) 12

Cost per wet-lab assay (£) 45

Agent computational screen cost / compound (£) 0.08

Target validated hits needed 25

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Effective hit rate with agent

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Wet-lab assays avoided

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Cost savings to reach target

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Total cost with agent

Metric	Value

HOW IT WORKS

What the agent actually does

1. Encode the library	Represents each candidate compound's structure and known properties in a form the model can compare against the target binding site.
2. Rank by predicted activity	Scores every compound in the library for likely interaction with the target, without running a physical assay.
3. Shortlist for the wet lab	Passes only the highest-scoring compounds forward for physical confirmation, cutting the assay volume needed to find a given number of hits.
4. Hand off	Sends confirmed hits to the Bio-Statistical Analysis Assistant for trial-stage statistical design.