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Can Artificial Intelligence Generate Meaningful Scientific Hypotheses?
清华工业生物催化论坛-活细胞化学反应的开发与应用
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报告题目:
Spatial games as novel centrality and cooperation measures of complex biological and other systems
 报告人:
Prof. Peter Csermely
School of Medicine, Department of Medical Chemistry 
Semmelweis University, Budapest, Hungary
报告时间:
2011-09-14 15:30
报告地点:
清华大学科学馆104报告厅
主办单位:
周培源应用数学研究中心
  简介:
Our recent studies showed that modular overlaps (nodes or links belonging to two or more modules) and bridges (nodes or links having a significant portion of their neighborhood in two or more modules) are the primary transmitters of cellular perturbations and signals. Overlaps and bridges are also the predominant sites of modulation during cellular adaptation, such as during stress. These properties of modular overlaps and bridges all suggest the importance of these proteins as potential drug targets. Based on our earlier studies on spatial games, we constructed NetworGame, which is a versatile program package to model any types of two-agent games (with 2 to 5 stategies) in any real world, or model networks using any types of strategy update rules, update dynamics and starting strategies. Spatial games can also be rationalized in networks of non-conscious agents, such as amino acids, or proteins. Game centrality also proved to be an important determinant of nodes with functional relevance at the whole-network level, such as signaling amino acids in protein structure networks, or proteins modulating the evolvability of yeast cells
报告人简介: Csermely 教授 匈牙利赛梅维什医科大学医学院化学系教授。他的研究领域包括生物系统中的网络理论等,著有《Weak Links》等15部论著,并发表了200余篇学术论文,总引用数超过5000次。Csermely教授是欧盟科学交流Descartes Award (2004) 等多个奖项的获得者,并担任《PLoS ONE》编委。
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