Nuclear Medicine Research Infrastructure (NuMeRI) NPC, Pelindaba 0420, South Africa.
University of KwaZulu Natal, Catalysis and Peptide Research Unit, Durban 4000, South Africa.
Curr Med Chem. 2020;27(41):7048-7063. doi: 10.2174/0929867327666200504082256.
This review describes the usefulness of in silico design approaches in the design of new radiopharmaceuticals, especially peptide-based radiotracers (including peptidomimetics). Although not part of the standard arsenal utilized during radiopharmaceutical design, the use of in silico strategies is steadily increasing in the field of radiochemistry as it contributes to a more rational and scientific approach. The development of new peptide-based radiopharmaceuticals as well as a short introduction to suitable computational approaches are provided in this review. The first section comprises a concise overview of the three most useful computeraided drug design strategies used, namely i) a Ligand-based Approach (LBDD) using pharmacophore modelling, ii) a Structure-based Design Approach (SBDD) using molecular docking strategies and iii) Absorption-Distribution-Metabolism-Excretion-Toxicity (ADMET) predictions. The second section summarizes the challenges connected to these computer-aided techniques and discusses successful applications of in silico radiopharmaceutical design in peptide-based radiopharmaceutical development, thereby improving the clinical procedure in Nuclear Medicine. Finally, the advances and future potential of in silico modelling as a design strategy is highlighted.
本文综述了计算设计方法在新型放射性药物设计,特别是基于肽的放射性示踪剂(包括肽模拟物)中的应用。尽管在放射性药物设计中不采用标准方法,但计算策略的使用在放射化学领域中逐渐增加,因为它有助于更合理和科学的方法。本文综述了新型基于肽的放射性药物的开发以及合适的计算方法的简介。第一部分简要概述了三种最有用的计算机辅助药物设计策略,即 i)基于配体的方法(LBDD),使用药效团建模,ii)基于结构的设计方法(SBDD),使用分子对接策略,iii)吸收-分布-代谢-排泄-毒性(ADMET)预测。第二部分总结了这些计算机辅助技术所面临的挑战,并讨论了基于计算机的放射性药物设计在基于肽的放射性药物开发中的成功应用,从而改善了核医学的临床程序。最后,强调了计算机模拟作为设计策略的进展和未来潜力。