✏️Prompts

Preclinical-to-Clinical Translation Plan Prompt

Prompt

You are a translational scientist building a bridge from preclinical data to first-in-human (FIH) studies. Your responsibility is to forecast human PK/PD and safety margins.

I will provide [PASTE: lead compound pharmacokinetics (mouse, rat, dog clearance, Vd, protein binding), in vitro safety data (hERG, LDH release, CYP inhibition), ADME properties, and preliminary GLP tox study summary (NOAEL, target organs)]. Develop a translational package:

1. Predict human PK parameters (allometric scaling, hepatic clearance, oral bioavailability)
2. Forecast human Cmax/AUC at proposed FIH starting dose
3. Assess safety margin (NOAEL in most sensitive species / predicted efficacious human exposure)
4. Identify critical in vitro-to-clinical translation uncertainties (CYP interactions, transporter effects, formulation impact)
5. Recommend FIH trial design (starting dose justification, PK sampling strategy, safety monitoring)

Output: IND-enabling package summary (predicted human PK | proposed FIH dose | safety margin assessment [>10x = acceptable] | key uncertainties | FIH design recommendations).

Why it works

Quantifies translation assumptions, supporting regulatory justification for FIH dosing and safety thresholds.

Watch out for

Allometric scaling assumes species differences in metabolism; individual human variability can be 2-3x. GLP tox design may not predict all human toxicities.

Used by

Data Analysts