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作 者:Kuo-Chen Chou Kuo-Chen Chou(Gordon Life Science Institute, Boston, MA, USA)
机构地区:[1]Gordon Life Science Institute, Boston, MA, USA
出 处:《Natural Science》2020年第8期620-631,共12页自然科学期刊(英文)
摘 要:Current coronavirus pandemic has endangered the entire mankind life. The reported cas-es are increasing exponentially. Information of protein post-translational modification (PTM) can provide useful clues to develop antiviral drugs. According to our recent works, the PTM prediction can be significantly improved by widening the samples of training da-taset. Based on such an idea, a new predictor called “iSulf_Wide-PseAAC” has been de-veloped. Its accuracy is overwhelmingly higher than its counterparts. To maximize the convenience for most experimental scientists, a user-friendly web-server for the new pre-dictor has been established at http://121.36.221.79/Isulf_Pse/, which will become a very useful tool for fighting pandemic coronavirus and save the mankind of this planet.Current coronavirus pandemic has endangered the entire mankind life. The reported cas-es are increasing exponentially. Information of protein post-translational modification (PTM) can provide useful clues to develop antiviral drugs. According to our recent works, the PTM prediction can be significantly improved by widening the samples of training da-taset. Based on such an idea, a new predictor called “iSulf_Wide-PseAAC” has been de-veloped. Its accuracy is overwhelmingly higher than its counterparts. To maximize the convenience for most experimental scientists, a user-friendly web-server for the new pre-dictor has been established at http://121.36.221.79/Isulf_Pse/, which will become a very useful tool for fighting pandemic coronavirus and save the mankind of this planet.
关 键 词:Pandemic Coronavirus 5-Step Rule PseAAC Learning at Wide Region WEBSERVER
分 类 号:R37[医药卫生—病原生物学]
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