Key 1 – Adhere to translational science principles  
To design a robust clinical trial for an anti-infection drug, we usually need to know three sets of information: a) the disease symptomatology and progression; b) the underlying mechanism of disease periods, i.e., dynamics of viral load and immune response; and c) host-virus-drug interactions. We must have clear objective definitions of disease progression and improvement. Objectively, this may be reflected by viral load and host immune response. Viral load can be quantified through RT-PCR while immune response can be tracked through inflammatory markers and antibody production. By studying drug PK and PD, maybe indirectly from previous programs, we can optimize the dosage regimen (dosage, dosing interval and treatment duration) to maximize the cure rate, reduce toxicity and avoid drug resistance. The information obtained is critical in understanding trial results, as drugs will have different effects depending on disease progression. For example, a drug may be falsely dismissed as ineffective if it is given too late in the disease course. We must go beyond standard clinical evaluations and leverage basic science measures to enrich trial outcomes.