Obesity is not a lifestyle choice; it is a disease with multiple causes. It is a risk factor for chronic pathologies (diabetes, cardiovascular and respiratory diseases, etc.) and also has major psychological and social consequences. It can be prevented, especially in its severe forms. Recourse to surgery is appropriate only in very specific cases. Therefore, the need to design effective drugs is very important. The development of drugs today is growing in the sense of not only finding new drugs but also reducing the time and cost of this procedure. The main objective of this work is to develop and evaluate QSAR models for the prediction of anti-obesity activity linking experimental activities to molecular structures, calculated using computational chemistry tools. This work also presents currently available treatments as well as therapeutic strategies under study.