启发:增加药物和计算化学家之间的协同作用。

Q2 Medicine
Alberto Gobbi, Matthew Lardy, Sun Hee Kim, Frank Ruebsam, Martin Tran, Stephen E Webber, Alan X Xiang
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引用次数: 1

摘要

我们提出了Illuminator,一个用户友好的web前端计算模型,如对接和3D形状相似性计算。Illuminator是专门为允许非专家设计和提交分子计算化学程序而创建的。因此,它提供了一个简单的用户界面,允许用户从2D结构开始提交作业。所提供的模型是由计算化学家针对每个特定目标预先优化的。我们提供了一个例子,说明如何在Anadys HCV聚合酶(NS5B)项目中使用Illuminator来优先设计分子取代基。在一年半的时间里,Illuminator提交了7500份工作,使Anadys的项目团队能够加速新线索的优化。它还改善了项目成员之间的沟通,增加了对计算药物发现工具的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Illuminator: increasing synergies between medicinal and computational chemists.

We present Illuminator, a user-friendly web front end to computational models such as docking and 3D shape similarity calculations. Illuminator was specifically created to allow non-experts to design and submit molecules to computational chemistry programs. As such it provides a simple user interface allowing users to submit jobs starting from a 2D structure. The models provided are pre-optimized by computational chemists for each specific target. We provide an example of how Illuminator was used to prioritize the design of molecular substituents in the Anadys HCV Polymerase (NS5B) project. With 7500 submitted jobs in 1.5 years, Illuminator has allowed project teams at Anadys to accelerate the optimization of novel leads. It has also improved communication between project members and increased demand for computational drug discovery tools.

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来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
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