5FMDL screener is a commercial virtual screening engine that implements the 5F�6�2MDL strategy for real�6�2world discovery:

     (1) Five�6�2dimension scoring: predicts 33 properties across physicochemical, PK, efficacy, safety, and stability, then computes scores of fivefold drug likeness (S5F) vs. chosen reference drugs.

     (2) Rank and triage at scale: ingests very large libraries (currently, 16 millions at most), ranks by S5F, and surfaces high�6�2likelihood drug�6�2like hits early.

     (3) Dimension�6�2aware filters: set per�6�2dimension thresholds (e.g., PK exposure, safety flags, stability windows) to enforce balanced profiles.

     (4) Diversity�6�2conscious selection: maintain scaffold diversity while maximizing S5F to avoid overfitting to a single series.

     (5) Out�6�2of�6�2distribution safeguards: normalization and clipping reduce score inflation beyond training space; confidence cues included.

     (6) Seamless handoff: export prioritized sets and annotations for docking, MD, and wet�6�2lab testing; integrates with standard CADD workflows.

     Typical use cases: early triage of HTS/virtual libraries, multi�6�2parametric lead shaping, and de�6�2risking antibiotic discovery (e.g., E. coli/PBP2). By aligning candidates to the phenotype of real medicines across five dimensions, 5FMDL screener helps teams cut noise, control attrition, and focus resources on chemotypes with genuine translational promise.