(Photo by Kui Shen)
The arm trying to stop me belongs to my friend
Tao Peng.
Ying has moved to Opera Solutions, San Diego office.
Ying Liu defended his Ph.D dissertation on September
23rd, 2011. The titile of the dissertation is "Combining Sequence and Structure Information to
Model Biological Systems Dynamics". He will soon graduate from
the Joint CMU-Pitt
Ph.D. Program
in Computational
Biology, University of
Pittsburgh.
He has been working
with
Prof. Ivet Bahar, in computational structural biology.
E-mail: YIL43 @ PITT.EDU
Ph.D., Computational Biology, University of Pittsburgh,
Pittsburgh, USA
M.E., Software Engineering, Tsinghua University, Beijing,
China
B.E., Electrical Engineering, Wuhan University, Wuhan,
China
Ying Liu and Ivet Bahar. (2011) Sequence Evolution Correlates with Structural Dynamics. (submitted)
Pemra Doruker, Ying Liu, Zheng Yang, Ivet Bahar. (2012)
In silico approches to structure and function of cell components
and their assemblies. | Coarse-grained methods: Applications to
allosteric proteins. Book chapter in Comprehensive
Biophysics, Elsevier. (to appear)
Ying Liu, Lila Gierasch, Ivet Bahar. (2010) Role of
Hsp70 ATPase Domain Intrinsic Dynamics and
Sequence Evolution in Enabling its Functional Interactions with
NEFs. PLoS Comput Biol 6: e1000931. (access)
Ying Liu and Ivet Bahar. (2010) Toward Understanding Allosteric
Signaling Mechanisms in the ATPase Domain Of Molecular
Chaperones. Pac Symp Biocomput. 2010:269-80. (Pubmed)
Ying Liu*, Eran Eyal*, Ivet Bahar. (2008) Analysis of Correlated
Mutations in HIV-1 Protease Using Spectral
Clustering. Bioinformatics. 24:1243-1250. (* equal contribution)
(access)
Lingzhi Zhao, Ying Liu, Zheng Qin. (2006) Weighted
SVM for Predicting Phosphorylation Sites. Computer
Engineering and Applications. 42(3). (in Chinese) (access)
Ying Liu, Yuanlie Lin, Zheng Qin. (2005) Application of
Prior-Knowledge-Bearing Learning Machine in Biological Sequence
Analysis. Journal of Computer Applications. 25(9) (in
Chinese)(access)
Ying Liu, Yuanlie Lin.(2004) A novel method for N-terminal
acetylation prediction. Genomics Proteomics
Bioinformatics. 2(4):253-5. (Pubmed)