
신약개발 과정을 이해하기 위해서는 화합물에 대한 이해, 몸에서의 약물 움직임에 대한 이해, 특정 질병과 화합물에 대한 반응 이해, 반응에 대한 질병 치료효과에 대한 이해가 필요하며 이를 종합적으로 학습 가능한 AI 도구 개발을 목적으로 함




Figuring compound's properties of absorption, distribution, metabolism, excretion and toxicity so called ADMET features is one of the important steps for clinical stages of drug development. Successful prediction of certain properties of ADMET prevents unnecessary costs of development and help boosting up the process by helping critical decision-making.

Before drug target interaction experiments, candidate compounds are selected through drug screening to enable rapid drug discovery. Successful prediction of drug-target interactions helps avoid unnecessary development costs and improves processes by helping make critical decisions.