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[新闻] NEW COVID-19 SMALL MOLECULE SCREENING SIMULATIONS ARE RUNNING ON FULL F@H

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发表于 2020-3-31 21:07:05 | 显示全部楼层 |阅读模式
本帖最后由 金鹏 于 2020-4-1 07:37 编辑

https://foldingathome.org/2020/03/30/covid-19-free-energy-calculations/


NEW COVID-19 SMALL MOLECULE SCREENING SIMULATIONS ARE RUNNING ON FULL FOLDING@HOME!
March 30, 2020
We are excited to announce a new batch of small molecule screening simulations are now up and running on Folding@home! These simulations will help prioritize which molecules will be synthesized and assayed by the COVID Moonshot aiming to rapidly developing new therapies against the SARS-CoV-2 main viral protease.



Over 1900 unique crowdsourced small molecule designs building on the DiamondMX fragment hits to the SARS-CoV-2 main viral protease (Mpro) were submitted to the COVID Moonshot projectin just a few days! This movie shows all the designs docked into Diamond’s X-ray structures.
Please note that these new projects can only be run on CPUs. They complement the many Folding@home COVID-19 projects that are already running on GPUs, and they allow everyone to join in to help in the fight against COVID-19.
About the project
The Voelz and Chodera labs have been working with an international team of researchers to computationally screen potential inhibitors of theSARS-CoV-2 coronavirus main protease (also known as SARS-CoV-2 MPro or 3CL).  After the virus gets into a cell, it co-opts the cell’s translational machinery and makes a polyprotein (one long chain of amino acids) that needs to be cleaved into smaller pieces that become the functional parts of the virus.  The main protease is the viral protein that does the cleavage.
SARS-CoV-2 main viral protease (Mpro) (pdbid: 6LU7)
Timely high-throughput crystallization work by the Diamond Light Source XChem project has identified drug fragments that bind the protease, and now the race is on to use these initial hits to drive computational prioritization of compounds to synthesize.  We are using the power of Folding@home — now the largest supercomputer in the world — to screen tens of thousands of promising molecules that have been computationally docked to the protease.  These include over 6000 compounds designed and submitted as part of the COVID Moonshot challenge.  




About the calculations
We are using an alchemical free energy calculation method called free energy perturbation, or FEP, to estimate the affinity of a potential drug molecule to its receptor.  FEP methods are very expensive compared to other methods like docking, but with the advantages of high accuracy and physical insight.  We are using protocols very similar to those used in the most recent SAMPL blind challenge.
The calculation involves decoupling the drug molecule (by turning off its electrostatic and dispersion interactions) from its receptor, and again for a molecule in water.  For the latter type of simulations, unfortunately there’s not much to look at the Folding@home viewer, because there’s no protein being simulated. However boring these projects appear, please keep in mind that they are absolutely essential to our success.





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发表于 2020-4-2 19:24:27 | 显示全部楼层
https://blogs.nvidia.cn/2020/03/ ... esearch-parabricks/
NVIDIA 为 COVID-19 研究人员免费提供 Parabricks
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发表于 2020-4-2 22:34:19 | 显示全部楼层
自今日起,NVIDIA将向全球所有新型冠状病毒研究人员免费提供90天的Parabricks使用权。Parabricks基于著名的Genome Analysis Toolkit,可通过GPU将序列数据分析速度提高50倍。


原来Parabricks是个软件
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