基本信息
浏览量:1
职业迁徙
个人简介
Research summary
My group develops computational methods for classifying proteins into evolutionary families. We exploit structural and sequence data to do this and a major interest is in the development of algorithms to recognise very distant relationships. We are researching the extent to which functions are conserved across families and in developing better methods for predicting when and how the functions of relatives change in different contexts. We have used our family classification to study the evolution of protein families and to perform comparative genomics. For example to determine which families are under or over represented in different organisms or different environments (e.g. in the metagenomics data). We have also developed methods for predicting protein associations and functional networks. Our methods for predicting functions and functional networks are being exploited by experimental groups in several EU funded collaborations in which we participate. These groups are researching proteins involved in cancer, angiogenesis, B-cell signalling and differentiation. We also belong to the London Pain Consortium who are researching chronic pain. We participate in the NIH funded Protein Structure Initiative one of whose aims is to determine the structures of proteins of biological and medical interest.
My group develops computational methods for classifying proteins into evolutionary families. We exploit structural and sequence data to do this and a major interest is in the development of algorithms to recognise very distant relationships. We are researching the extent to which functions are conserved across families and in developing better methods for predicting when and how the functions of relatives change in different contexts. We have used our family classification to study the evolution of protein families and to perform comparative genomics. For example to determine which families are under or over represented in different organisms or different environments (e.g. in the metagenomics data). We have also developed methods for predicting protein associations and functional networks. Our methods for predicting functions and functional networks are being exploited by experimental groups in several EU funded collaborations in which we participate. These groups are researching proteins involved in cancer, angiogenesis, B-cell signalling and differentiation. We also belong to the London Pain Consortium who are researching chronic pain. We participate in the NIH funded Protein Structure Initiative one of whose aims is to determine the structures of proteins of biological and medical interest.
研究兴趣
论文作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn