摘要
针对转化新的分子实体和纳米材料在药物选择的复杂性的一种创新方法(即知识翻译,KT)的讨论。首先,复习了一些组织和生物医学知识转化的一些关键概念(范式、同质性、幂律分布、层次、模块化,并综述了研究前沿)。然后,我们提出了在药物发现知识转化(KT)方面的一个模型证明了跨学科沟通的复杂性。 具体来说,我们解决了两个高度相关的方面:1)一个成功的KT需要组织机构和跨学科研究的兴起,2)这些知识的层次化,模块化的拓扑组织。我们专注于一组先前发表的对KT依靠结合网络分析的科学文献和专利的内容和计算机辅助分析的研究。选定的研究提供了一组互补的观点:知识的需求(宫颈癌和埃博拉出血热)和知识的供给(脂质体和纳米颗粒治疗癌症和范式的改变案,第一个纳米药物被批准)。
关键词: 生物医学知识,转化中心,交易区,科学文化。
Current Medicinal Chemistry
Title:Hierarchy of Knowledge Translation: From Health Problems to Ad-Hoc Drug Design
Volume: 23 Issue: 26
Author(s): David Fajardo and Victor M. Castano
Affiliation:
关键词: 生物医学知识,转化中心,交易区,科学文化。
摘要: An innovative approach to analyze the complexity of translating novel molecular entities and nanomaterials into pharmaceutical alternatives (i.e., knowledge translation, KT) is discussed. First, some key concepts on the organization and translation of the biomedical knowledge (paradigms, homophily, power law distributions, hierarchy, modularity, and research fronts) are reviewed. Then, we propose a model for the knowledge translation (KT) in Drug Discovery that considers the complexity of interdisciplinary communication.
Specifically, we address two highly relevant aspects: 1) A successful KT requires the emergence of organized bodies of inter-and transdisciplinary research, and 2) The hierarchical and modular topological organization of these bodies of knowledge. We focused on a set of previously-published studies on KT which rely on a combination of network analysis and computer-assisted analysis of the contents of scientific literature and patents. The selected studies provide a duo of complementary perspectives: the demand of knowledge (cervical cancer and Ebola hemorrhagic fever) and the supply of knowledge (liposomes and nanoparticles to treat cancer and the paradigmatic Doxil, the first nano- drug to be approved).
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Cite this article as:
David Fajardo and Victor M. Castano , Hierarchy of Knowledge Translation: From Health Problems to Ad-Hoc Drug Design, Current Medicinal Chemistry 2016; 23 (26) . https://dx.doi.org/10.2174/0929867323666160617101823
DOI https://dx.doi.org/10.2174/0929867323666160617101823 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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