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pLoc_Deep-mHum: Predict Subcellular Localization of human proteins by Deep Learning

Natural Science 2020年第7期12卷 526-551页

作者： Yu-Tao Shao Xin-Xin Liu Zhe Lu Kuo-Chen Chou Computer Science Jingdezhen Ceramic Institute Jingdezhen China Gordon Life Science Institute Boston MA 02478 USA

Recently, the life of human beings around the entire world has been endangering by the spreading of pneumonia-causing virus, such as Coronavirus, COVID-19, and H1N1. To develop effective drugs against Coronavirus, knowledge of protein subcellular localization is indispensable. In 2019, a predictor called “pLoc_bal-mHum” was developed for identifying the subcellular localization of human proteins. Its predicted results are significantly better than its counterparts, particularly for those proteins that may simultaneously occur or move between two or more subcellular location sites. However, more efforts are definitely needed to further improve its power since pLoc_bal-mHum was still not trained by a “deep learning”, a very powerful technique developed recently. The present study was devoted to incorporate the “deep-learning” technique and develop a new predictor called “pLoc_Deep-mHum”. The global absolute true rate achieved by the new predictor is over 81% and its local accuracy is over 90%. Both are overwhelmingly superior to its counterparts. Moreover, a user-friendly web-server for the new predictor has been well established at http://***/pLoc_Deep-mHum/, which will become a very useful tool for fighting pandemic coronavirus and save the mankind of this planet.

关键词： Coronavirus Multi-Label System human proteins Deep Learning Five-Steps Rule PseAAC

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Showcase to Illustrate How the Web-Server pLoc_Deep-mHum Is Working

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Advances in Bioscience and Biotechnology 2020年第7期11卷 273-288页

作者： Kuo-Chen Chou Gordon Life Science Institute Boston MA USA

Recently, a very useful method called “pLoc_Deep-mHum” has been proposed for finding against the Pandemic COVID-19. Illustrated in this short report is a step-by-step guide for how to use its web-server.

关键词： Coronavirus human proteins Multi-Label System PseAAC Five-Steps Rules

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