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    Novel computational methods towards understanding nucleic acid – protein interactions
    2019-07-18 | 【 【打印】【关闭】

      Abstract:

      Biological molecules perform their functions through interaction with other molecules. Nucleic acid (DNA and RNA) – protein interaction is behind the majority of biological processes, such as DNA replication, transcription, post-transcription regulation, and translation. In this talk, I will introduce our work on developing two novel computational methods towards understanding nucleic acid – protein interactions. The first one is a structural alignment method, PROSTA-inter, that automatically determines and aligns interaction interfaces between two arbitrary types of complex structures to detect their structural similarity. The second one is a deep learning-based computational framework, NucleicNet, that predicts the binding specificity of different RNA constituents on the protein surface, based only on the structural information of the protein.

      Bio:

      Dr. Xin Gao is an associate professor of computer science in the Computer, Electrical and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He is also a PI in the Computational Bioscience Research Center at KAUST and an adjunct faculty member at David R. Cheriton School of Computer Science at University of Waterloo, Canada. Prior to joining KAUST, he was a Lane Fellow at Lane Center for Computational Biology in School of Computer Science at Carnegie Mellon University, U.S.. He earned his bachelor degree in Computer Science in 2004 from Computer Science and Technology Department at Tsinghua University, China, and his Ph.D. degree in Computer Science in 2009 from David R. Cheriton School of Computer Science at University of Waterloo, Canada.

      Dr. Gao’s research interest lies at the intersection between computer science and biology. In the field of computer science, he is interested in developing machine learning theories and methodologies. In the field of bioinformatics, he group works on building computational models, developing machine learning techniques, and designing efficient and effective algorithms, to tackle key open problems along the path from biological sequence analysis, to 3D structure determination, to function annotation, and to understanding and controlling molecular behaviors in complex biological networks. He has co-authored more than 170 research articles in the fields of bioinformatics and machine learning.

     
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  • 赵雅芝联合“我·爱我 女性健康工程”为乳腺健康共发声 2019-12-15
  • 西湖龙井、潍坊风筝、宣纸徽墨……大运河非遗大展亮相农展馆 2019-10-25
  • 愿赌服输!炒股赚了没见你们给大家分点? 2019-10-25
  • 回复@老老保老张工:玩你的铁环去! 2019-08-23
  • 原保监会主席项俊波妻子及两个秘书亦被查 与妻子结婚离婚又复婚 2019-08-13
  • 关于益寿丹 竹林日记(0073) 2019-08-13
  • 百名高管落马!金融反腐大势怎么走? 2019-07-17
  • 舍身救人,你是我们的榜样!(原创首发) 2019-07-01
  • 台旅会宣传海湾主题旅游 将在成都举办展览 2019-07-01
  • 笑博士的“企业发展计划”,是基于私有制的企业计划。因此,笑博士,是制订不了市计划,省计划,更别说国家计划的。他的最大无知,是不知社会主义是以公有制为主体的国家, 2019-06-23
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