Virtual screening · P. salmonis PS011 · June 2026
CORAL-AI PANGEA reduced 500,000 compounds and found a combination with an MIC of 8.03 µg/mL
CORAL-AI PANGEA examined a library of 500,000 natural compounds in two weeks and prioritized 14. In vitro validation against P. salmonis placed Combination A + B as the strongest signal: an MIC of 8.03 µg/mL and an IC50 of 2.19 µg/mL, requiring 36.8% less concentration than the reference.
Executive summary
From 500,000 compounds to a prioritized combination
ISR-BIO used CORAL-AI PANGEA to define a target—kept anonymous in this case—and screen 500,000 natural compounds. In two weeks, it prioritized 14 candidates and proposed studying the combination of Candidates A and B. Validation against isolate PS011 confirmed bactericidal and bacteriostatic candidates: Combination A + B reached an MIC of 8.03 µg/mL, while a 4PL fit placed it as the lowest-concentration response (IC50 2.19 µg/mL; IC80 4.16 µg/mL), with R² above 0.99 for all five fitted profiles.
- Modality
- Virtual screening with CORAL-AI PANGEA plus in vitro validation
- Library
- 500,000 natural compounds
- Validation model
- P. salmonis PS011, the causative agent of piscirickettsiosis
- Primary metric
- MIC at 80% inhibition and MBC by subculture
- Configuration
- 1:2 serial dilutions, five replicates, seven days, OD620 readout
- Key result
- 14 prioritized candidates; Combination A + B lowered IC50 by 36.8% versus the individual candidate
01 · Context
Why screen half a million compounds before entering the lab
The search did not begin on a culture plate. CORAL-AI PANGEA covered a chemical diversity that would have been impractical to test entirely in the laboratory and prioritized molecules most likely to inhibit growth while also fitting as precision functional additives. Two weeks later, the search space had been reduced to 0.0028% of the original library.
Experimental validation separated two different questions. MIC asks whether a candidate inhibits at least 80% of growth; MBC, assessed by subculture after treatment removal, distinguishes a bacteriostatic response from bactericidal action. Four-parameter logistic (4PL) dose–response curves generated interpolated IC50 and IC80 values that complement—but do not replace—observed MICs.
02 · Challenge
Comparing candidates with different experimental windows
Candidates had maximum solubilities between 45 and 500 µg/mL in IFOP-PsM11. Therefore, the absence of an MIC could mean lack of activity, but it could also mean that the candidate did not reach a sufficiently high concentration in aqueous medium.
The combination showed precipitate above 129 µg/mL, and those points were excluded from analysis. The challenge was to identify reproducible signals without extrapolating beyond the measured range.
03 · Approach
From observed inhibition to dose–response profiles
The PS011 isolate was cultured to exponential phase, adjusted to 0.5 McFarland, and exposed for seven days to 1:2 serial dilutions in 96-well plates at 18 °C and 120 rpm. Growth was quantified by OD620 with five replicates per condition; differences from control were analyzed with one-way ANOVA at p < 0.05.
Cultures without apparent growth were subcultured with 3 µL on AUSTRAL TS-Hem agar to establish MBC. Five candidate curves were then fitted with a 4PL model, excluding precipitated points.
04 · Results
The combination concentrated the strongest inhibitory signal
In the first campaign, two candidates reached MICs of 62.5 and 31.25 µg/mL, respectively, and both showed an MBC of 125 µg/mL. In the second campaign, a third candidate showed a bactericidal profile, with an MIC of 62.5 µg/mL and an MBC of 125 µg/mL. Two others were bacteriostatic, with MICs of 10.4 and 500 µg/mL.
The 4PL fit placed Combination A + B as the lowest-concentration response, followed by Candidate A. No interpolation replaces an observed MIC, but the direction was consistent: the combination ranked first in MIC, IC50, and IC80, and all fits reached R² > 0.99 on observed growth.
| Candidate | IC50 4PL | IC80 4PL | R² |
|---|---|---|---|
| Combination of Candidates A + B | 2.19 | 4.16 | 0.997 |
| Candidate A | 3.46 | 6.18 | 0.993 |
| Candidate C | 17.41 | 19.86 | 0.991 |
| Candidate D | 42.17 | 59.29 | 0.996 |
| Candidate E | 43.51 | 54.03 | 0.999 |
IC50 and IC80 values are in µg/mL and interpolated with a 4PL model. They must not be read as observed MIC or MBC values, or as evidence of in vivo activity.
Concentration-response curve
Potency separates two response groups
Higher-potency profiles
The Candidate A + B mix and Candidate A reach IC50 and IC80 at lower concentrations.
Lower-potency profiles
Candidates C, D, and E require higher concentrations to shift growth.
Points: experimental measurements normalized to the untreated control. Lines: Hill 4PL fit. Horizontal lines mark 50% and 20% relative growth, equivalent to IC50 and IC80 thresholds.
Comparative potency
IC50 and IC80 by anonymized candidate
Lower IC50 and IC80 values indicate higher inhibitory potency. The comparison prioritizes profiles by effective concentration, not chemical identity.
Combination effect
The combined formulation required less concentration to reach the same effect
Compared with the reference individual candidate, the combination shifted both IC50 and IC80 toward lower concentrations while maintaining a robust fit.
Prediction 01
Candidate A
Prediction 02
Candidate B
Candidate A
3,46 µg/mL
Candidate A + B mix
2,19 µg/mL
−36,8%
36.8% less estimated concentration required to reach IC50
−36.8%
less concentration required to reach 50% inhibition
−32.6%
less concentration required to reach 80% inhibition
1.58×
relative potency calculated from IC50
What synergy means in these data
The shift demonstrates potentiation of the combined formulation versus the individual candidate tested. It is a signal compatible with synergy, but a formal pharmacological demonstration requires measuring every component separately and applying a combination design such as Loewe, Bliss, or a fractional inhibitory concentration index.
05 · Notable candidates
The functional profiles that ordered the panel
Screening separated the 14 candidates into three groups: candidates without an MIC within the soluble range, bacteriostatic candidates, and bactericidal candidates confirmed by subculture. The first group does not mean inactivity: in several cases, maximum solubility prevented conclusive concentrations from being reached.
Among profiles with a signal, Candidate A was the most potent individual candidate in the 4PL fit (IC50 3.46 µg/mL), while Combination A + B shifted both thresholds to lower concentrations with a robust fit (R² = 0.997). The confirmed bactericidal profile—MIC 62.5 µg/mL and MBC 125 µg/mL—shows that the panel contains both lethal-action and containment candidates, two distinct experimental utilities.
06 · What it means
A broad panel reduced to candidates that can be prioritized
The screen supports prioritization by functional profile, not only by a single optical-density decrease: potency (IC50/IC80), solubility window, and action type (bactericidal versus bacteriostatic) are separate, measurable criteria.
The synergy signal from Combination A + B justifies studying it at higher resolution. Next steps are to confirm it with independent biological replicates, formally quantify the A–B interaction, and assess safety in salmon cells. These data show in vitro activity; they do not establish therapeutic efficacy or a dose for fish.
07 · Limitations
Experimental scope
The assays used a single isolate (PS011); activity against other P. salmonis isolates has not been established. Solubility windows differed among candidates (45–500 µg/mL), so absence of an MIC cannot distinguish inactivity from insufficient exposure. The combination precipitated above 129 µg/mL and was not extrapolated beyond the measured range.
IC50 and IC80 are 4PL interpolations, not observed MIC or MBC values. Synergy is a compatible signal, not a formal demonstration: it requires measuring both components separately under a combination design such as Loewe, Bliss, or FIC. The demonstrated activity is in vitro; in vivo efficacy and fish dosing are outside this study’s scope.
Sources: bacteriology reports No. 08/2026 and No. 009/2026; data and analytical outputs from ISRBIO_01_SRS-DATA.
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