University of Torino, Molecular Biotechnology and Health Sciences Department, CASSMedChem, Piazza Nizza, 10138 Torino, Italy.
Molecular Neuropathobiology Laboratory, Department of Physiology, Tokai University School of Medicine, Isehara, Japan.
Drug Discov Today. 2024 Oct;29(10):104138. doi: 10.1016/j.drudis.2024.104138. Epub 2024 Aug 19.
Patients diagnosed with rare diseases and their and families search desperately to organize drug discovery campaigns. Alternative models that differ from default paradigms offer real opportunities. There are, however, no clear guidelines for the development of such models, which reduces success rates and raises costs. We address the main challenges in making the discovery of new preclinical treatments more accessible, using rare hereditary paraplegia as a paradigmatic case. First, we discuss the necessary expertise, and the patients' clinical and genetic data. Then, we revisit gene therapy, de novo drug development, and drug repurposing, discussing their applicability. Moreover, we explore a pool of recommended in silico tools for pathogenic variant and protein structure prediction, virtual screening, and experimental validation methods, discussing their strengths and weaknesses. Finally, we focus on successful case applications.
患者被诊断患有罕见疾病,他们及其家属急切地寻求组织药物发现活动。与默认范例不同的替代模式提供了真正的机会。然而,对于此类模型的开发,尚无明确的指导方针,这降低了成功率并增加了成本。我们以遗传性痉挛性截瘫为例,解决了使新的临床前治疗方法更容易获得的主要挑战。首先,我们讨论了必要的专业知识以及患者的临床和遗传数据。然后,我们重新讨论了基因治疗、从头药物开发和药物再利用,讨论了它们的适用性。此外,我们还探讨了一组推荐的用于致病变异和蛋白质结构预测、虚拟筛选和实验验证方法的计算工具,讨论了它们的优缺点。最后,我们重点介绍了成功的案例应用。