Ke Fan

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Experimental studies have shown that the full sequence complexity of naturally occurring proteins is not required to generate rapidly folding and functional proteins, i.e. proteins can be designed with fewer than 20 letters. This raises the question of what is the minimum number of amino acid types required to encode complex protein folds? Here, we(More)
Currently, of the 10(6) known protein sequences, only about 10(4) structures have been solved. Based on homologies and similarities, proteins are grouped into different families in which each has a structural prototype, namely, the fold, and some share the same folds. However, the total number of folds and families, and furthermore, the distribution of(More)
We investigated a range of different mesoporous NiO electrodes prepared by different research groups and private firms in Europe to determine the parameters which influence good quality photoelectrochemical devices. This benchmarking study aims to solve some of the discrepancies in the literature regarding the performance of p-DSCs due to differences in the(More)
The research about the interaction between grid environments and users is becoming popular. Many scientists propose the integration for Web 2.0 technologies and grid computing. In this paper, we propose a flexible Web-based framework for grid applications - WAGA, which tries to bridge the gap between grid middleware and grid applications. WAGA provides a(More)
  • Tengxiao Ma, Ke Fan, +4 authors Zhengwen Zhang
  • 1987
Treatment of giant facial congenital melanocytic nevi (CMN) is recommended due to the potential for malignant degeneration, although therapy may be complicated because of cosmetic and functional considerations and the results problematic. We present the case of a 2-year-old child with a giant CMN of the scalp, excision of which was facilitated by the use of(More)
In order to effectively deal with the APT and 0 day attacks, a new classified protection model of information system is proposed by combining the big data analysis and the threat intelligence technologies. And immune factors network algorithm is proposed based on the classified model. So that the useful information can be actively accessed and extracted(More)
In this paper, we propose a robust unsupervised algorithm for automatic alignment of two manifolds in different datasets with possibly different dimensionalities. The significant contribution is that the proposed alignment algorithm is performed automatically without any assumptions on the correspondences between the two manifolds. For such purpose, we(More)