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计算化学和药物输送技术如何支持新型抗癌药物的开发。

How Computational Chemistry and Drug Delivery Techniques Can Support the Development of New Anticancer Drugs.

机构信息

Department of Pharmaceutical and Pharmacological Sciences, University of Padova, 35131 Padova, Italy.

Department of Pharmaceutical Sciences, University of Milano, 20133 Milan, Italy.

出版信息

Molecules. 2020 Apr 10;25(7):1756. doi: 10.3390/molecules25071756.

Abstract

The early and late development of new anticancer drugs, small molecules or peptides can be slowed down by some issues such as poor selectivity for the target or poor ADME properties. Computer-aided drug design (CADD) and target drug delivery (TDD) techniques, although apparently far from each other, are two research fields that can give a significant contribution to overcome these problems. Their combination may provide mechanistic understanding resulting in a synergy that makes possible the rational design of novel anticancer based therapies. Herein, we aim to discuss selected applications, some also from our research experience, in the fields of anticancer small organic drugs and peptides.

摘要

新抗癌药物、小分子或肽的早期和晚期开发可能会受到一些问题的阻碍,例如对靶标的选择性差或 ADME 性质差。计算机辅助药物设计 (CADD) 和靶向药物输送 (TDD) 技术虽然显然彼此相距甚远,但却是两个可以为克服这些问题做出重大贡献的研究领域。它们的结合可能提供机制理解,从而产生协同作用,使基于新型抗癌的合理设计疗法成为可能。在此,我们旨在讨论抗癌小分子药物和肽领域的一些选定应用,其中一些也来自我们的研究经验。

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