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KRDS:一个通过分子对接评估激酶耐药性突变的网络服务器。

KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking.

作者信息

Lee Aeri, Hong Seungpyo, Kim Dongsup

机构信息

Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.

Division of Nutrition and Metabolism Research, Korea Food Research Institute, Wanju-gun, Jeollabuk-do, Republic of Korea.

出版信息

J Cheminform. 2018 Apr 10;10(1):20. doi: 10.1186/s13321-018-0274-y.

Abstract

Kinases are major targets of anti-cancer therapies owing to their importance in signaling processes that regulate cell growth and proliferation. However, drug resistance has emerged as a major obstacle to cancer therapy. Resistance to drugs has various underlying mechanisms, including the acquisition of mutations at drug binding sites and the resulting reduction in drug binding affinity. Therefore, the identification of mutations that are relevant to drug resistance may be useful to overcome this issue. We hypothesized that these mutations can be identified by combining recent advances in computational methods for protein structure modeling and ligand docking simulation. Hence, we developed a web-based tool named the Kinase Resistance Docking System (KRDS) that enables the assessment of the effects of mutations on kinase-ligand interactions. KRDS receives a list of mutations in kinases, generates structural models of the mutants, performs docking simulations, and reports the results to users. The changes in docking scores and docking conformations can be analyzed to infer the effects of mutations on drug binding and drug resistance. We expect our tool to improve our understanding of drug binding mechanisms and facilitate the development of effective new drugs to overcome resistance related to kinases; it may be particularly useful for biomedical researchers who are not familiar with computational environments. Our tool is available at http://bcbl.kaist.ac.kr/KRDS/ .

摘要

激酶是抗癌疗法的主要靶点,因为它们在调节细胞生长和增殖的信号传导过程中起着重要作用。然而,耐药性已成为癌症治疗的主要障碍。对药物的耐药性有多种潜在机制,包括在药物结合位点发生突变以及由此导致的药物结合亲和力降低。因此,识别与耐药性相关的突变可能有助于克服这一问题。我们假设可以通过结合蛋白质结构建模和配体对接模拟的计算方法的最新进展来识别这些突变。因此,我们开发了一种名为激酶耐药对接系统(KRDS)的基于网络的工具,该工具能够评估突变对激酶-配体相互作用的影响。KRDS接收激酶中的突变列表,生成突变体的结构模型,进行对接模拟,并将结果报告给用户。可以分析对接分数和对接构象的变化,以推断突变对药物结合和耐药性的影响。我们期望我们的工具能够增进我们对药物结合机制的理解,并促进开发有效的新药以克服与激酶相关的耐药性;它可能对不熟悉计算环境的生物医学研究人员特别有用。我们的工具可在http://bcbl.kaist.ac.kr/KRDS/获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0e4/5891443/d29efb95589e/13321_2018_274_Fig1_HTML.jpg

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