Piloting New Medications for Borderline Personality Disorder: The Use of Artificial Intelligence in Psycho-Pharmacological Research

Background: Borderline Personality Disorder (BPD) lacks approved pharmacological treatments despite a high symptom burden. Artificial intelligence (AI) offers new opportunities to accelerate drug discovery and model therapeutic effects. Objective: This study will outline an AI‑enabled framework for identifying and modelling a novel pharmacological agent for BPD, designed to meet five therapeutic goals: (1) reduce depression without increasing impulsivity and suicidality, (2) reduce suicidality without sedation, (3) limit side effects and weight gain, (4) reduce polypharmacy, and (5) provide combined antidepressant, anti-suicidal, mood‑stabilising, and antipsychotic effects.Methods: Three AI‑driven approaches will be piloted: (1) deep‑learning‑based compound generation, (2) natural‑language‑processing (NLP) evidence synthesis, and (3) predictive modelling of symptom trajectories. These methods will be used to design and characterise a hypothetical multimodal compound, BPD‑AI‑01, including its predicted 3D molecular structure and receptor binding profile. All analyses will use publicly available data and in silico simulations.Results: AI‑guided modelling will generate BPD‑AI‑01, a candidate molecule predicted to act as a partial agonist at 5‑HT1A receptors, a modulator at NMDA‑associated sites, and a weak antagonist at 5‑HT2A/D2 receptors, with low affinity for histaminergic and muscarinic receptors. Its 3D structure will be optimised to balance CNS penetration with reduced metabolic burden. Simulated trajectories will suggest potential antidepressant, anti-suicidal, mood‑stabilising, and antipsychotic‑like effects without marked sedation or weight gain. Conclusions: AI‑enabled pharmacological research may support the design of next‑generation medications for BPD that address multiple symptom domains within a single molecule. Empirical validation will be required before any clinical application.