Scotti Luciana, Monteiro Alex France Messias, de Oliveira Viana Jéssika, Mendonça Junior Francisco Jaime Bezerra, Ishiki Hamilton M, Tchouboun Ernestine Nkwengoua, Santos Rodrigo, Scotti Marcus Tullius
Teaching and Research Management - University Hospital, Federal University of Paraíba, João Pessoa, PB, Brazil.
Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil.
Endocr Metab Immune Disord Drug Targets. 2019;19(4):402-418. doi: 10.2174/1871530319666181217123357.
Metabolic disorders are a major cause of illness and death worldwide. Metabolism is the process by which the body makes energy from proteins, carbohydrates, and fats; chemically breaking these down in the digestive system towards sugars and acids which constitute the human body's fuel for immediate use, or to store in body tissues, such as the liver, muscles, and body fat.
The efficiency of treatments for multifactor diseases has not been proved. It is accepted that to manage multifactor diseases, simultaneous modulation of multiple targets is required leading to the development of new strategies for discovery and development of drugs against metabolic disorders.
In silico studies are increasingly being applied by researchers due to reductions in time and costs for new prototype synthesis; obtaining substances that present better therapeutic profiles.
In the present work, in addition to discussing multi-target drug discovery and the contributions of in silico studies to rational bioactive planning against metabolic disorders such as diabetes and obesity, we review various in silico study contributions to the fight against human metabolic pathologies.
In this review, we have presented various studies involved in the treatment of metabolic disorders; attempting to obtain hybrid molecules with pharmacological activity against various targets and expanding biological activity by using different mechanisms of action to treat a single pathology.
代谢紊乱是全球疾病和死亡的主要原因。新陈代谢是身体利用蛋白质、碳水化合物和脂肪产生能量的过程；在消化系统中将这些物质化学分解为构成人体即时可用燃料的糖和酸，或储存于身体组织，如肝脏、肌肉和体脂中。
多因素疾病治疗方法的有效性尚未得到证实。人们认为，要管理多因素疾病，需要同时调节多个靶点，这促使了针对代谢紊乱发现和开发药物的新策略的发展。
由于新原型合成的时间和成本降低，计算机模拟研究越来越受到研究人员的应用；获得具有更好治疗特性的物质。
在本研究中，除了讨论多靶点药物发现以及计算机模拟研究对针对糖尿病和肥胖等代谢紊乱进行合理生物活性规划的贡献外，我们还回顾了计算机模拟研究对对抗人类代谢疾病的各种贡献。
在本综述中，我们介绍了涉及治疗代谢紊乱的各种研究；试图获得对各种靶点具有药理活性的杂合分子，并通过使用不同作用机制来治疗单一疾病来扩展生物活性。
