Reverse engineering systems models of regulation: discovery, prediction and mechanisms

► Top-down systems approaches rapidly generate putative biological models. ► Statistical associations and causative abstractions are unavoidable, but useful. ► Molecular and mechanistic details improve model selection and applicability. ► Models of transcription and translation are becoming increasingly mechanistic. ► 'Multi-scale' models are applicable to new scientific questions and engineering goals.