Veljkovic V, Veljkovic N, Esté J A, Hüther A, Dietrich U
Centre for Multidisciplinary Research, Institute of Nuclear Sciences VINCA, Belgrade 11001, Serbia.
Curr Med Chem. 2007;14(4):441-53. doi: 10.2174/092986707779941014.
The development of a new therapeutic drug is a complex, lengthy and expensive process. On average, only one out of 10,000 - 30,000 originally synthesized compounds will clear all the hurdles on the way to becoming a commercially available drug. The process of early and full preclinical discovery and clinical development for a new drug can take twelve to fifteen years to complete, and cost approximately 800 million dollars. The field of bioinformatics has become a major part of the drug discovery pipeline playing a key role in improvement and acceleration of this time and money consuming process. Here we reviewed the application of the EIIP/ISM bioinformatics concept for the development of new drugs. This approach, connecting the electron-ion interaction potential of organic molecules and their biological properties, can significantly reduce development time through (i) identification of promising lead compounds that have some activity against a disease by fast virtual screening of the large molecular libraries, (ii) refinement of selected lead compounds in order to increase their biological activity, and (iii) identification of domains of proteins and nucleotide sequences representing potential targets for therapy. Special attention is paid in this review to the application of the EIIP/ISM bioinformatics platform along with other experimental techniques (screening of a phage displayed peptide libraries, testing selected peptides and small molecules for antiviral activity in vitro) in development of HIV entry inhibitors, representing a new generation of the AIDS drugs.
一种新型治疗药物的研发是一个复杂、漫长且昂贵的过程。平均而言,最初合成的10000 - 30000种化合物中只有一种能够克服成为上市药物途中的所有障碍。一种新药从早期全面的临床前发现到临床开发的过程可能需要十二到十五年才能完成,成本约为8亿美元。生物信息学领域已成为药物研发流程的重要组成部分,在改进和加速这个耗时耗钱的过程中发挥着关键作用。在此,我们综述了EIIP/ISM生物信息学概念在新药研发中的应用。这种方法将有机分子的电子 - 离子相互作用势与其生物学特性联系起来,可通过以下方式显著缩短研发时间:(i)通过对大分子文库进行快速虚拟筛选,识别出对某种疾病具有一定活性的有前景的先导化合物;(ii)对选定的先导化合物进行优化,以提高其生物学活性;(iii)识别代表潜在治疗靶点的蛋白质结构域和核苷酸序列。本综述特别关注EIIP/ISM生物信息学平台与其他实验技术(筛选噬菌体展示肽库、在体外测试选定的肽和小分子的抗病毒活性)在开发HIV进入抑制剂(新一代抗艾滋病药物)中的应用。