Haixu Tang
Department of Computer
Science and Engineering
APM 3132
University of California, San Diego
La Jolla, CA 92093-0114
Phone: (858) 822-5004
Fax: (858) 534-7029
E-mail: htang@cs.ucsd.edu
Ph. D (1998). Computational
Biology
Shanghai Institute of Biochemistry, Academia
Sinica
Doctoral Dissertation: “Structure-based
protein ligand design.”
B. S. (1993) Condensed
Matter Physics
Department of Physics, Nanjing University
Professional experience
1998-1999 Research Associate, Shanghai Institute of
Biochemistry, Chinese Academy of Sciences.
1999-2001
Post-Doctoral
Research Associate (with M. S. Waterman), Department of Mathematics, University
of Southern California, CA
2001-now Assistant
Project Scientist (with P. A. Pevzner), Department of Computer Science and
Engineering, University of California at San Diego, CA.
Computational experiences
C/C++ on UNIX/PC,
Perl, CGI & web programming
Scientific
softwares: Splus, Matlab
Molecular
biology softwares: GCG, blast, clustalX, MSI/Biosym, etc.
Algorithms:
dynamic programming, branch & cut, HMM, NN, graph theory, etc.
Summary of previous research
Comparative protein modeling (1993-1995)
We build a new
comparative protein modeling system “PMODELING”, with the new algorithms for
protein structural comparison, backbone reconstruction and side-chain
placement.
Structure-based protein ligand design (1995-1998)
We develop a novel
flexible docking strategy based on the new optimization algorithm “reactive
tabu searching” and an empirical binding energy formula.
Computational protein design (1997-1999)
We improve the
“self-consistent ensemble optimization” (SCEO) method to automatic protein
design. The novel design scheme, “hetero-SCEO” has been applied to different
problems of protein design: designing protein cores, grafting protein active
sites onto natural scaffolds and redesigning the protein interfaces.
Algorithms of sequence
comparison
(1993-1999)
(1) We improve the “divide and conquer” technique in
sequence alignment and get the multiple solutions of that problem.
(2) We develop a fast algorithm to align two very long
genomic sequence and apply it to the comparisons of the sequences of human,
mouse and plants.
(3) We develop a novel algorithm to align a gene
sequence and a protein sequence with the consideration of the frameshift
errors.
Analysis of gene expression (1999-2000)
(1) We analyze the relation between the co-expression of
genes and their adjacency in the genome.
(2) We establish a novel method to estimate the
statistical significance of the correlation between the expression patterns of
two genes.
EULER Project: Sequence fragment assembly (2000-now)
We abandon the
classical "overlap-layout-consensus" paradigm in favor of a new
approach that reduces the fragment assembly to a variation of the classical
Eulerian path problem.
Selected Publications
D.
Ding and H. Tang (1994) An improvement of Myers-Miller's algorithm for
sequence alignment. J. Biomath., 9(2):1-10.
H. Tang and D. Ding (1995) A new structure comparison
method for protein homologous modeling and tertiary structure prediction.
Biophysica Sinica, 11(1):60-66.
B. Zhang, D. Ding
and H. Tang (1995) A fast and accurate protein structure rigid
superposition method. Biophysica, Sinica, 11(4):575-582.
D. Ding, H. Tang
and B. Zhang (1995) A knowledge-based protein modeling system and its
evaluation. Biophysica Sinica, 11:416-428.
H. Tang and D. Ding (1996) A knowledge-based protein
modeling system and its evaluation. II. Side-chain placement. Biophysica
Sinica, 12:125-134.
H. Tang and D. Ding (1996) Large-scale homologous analysis
of genome sequence. Acta Biochimica et Biophysica Sinica, 28(6)686-693.
D. Ding, H. Tang,
B. Zhang and J. Chen (1997) PMODELING: A new homologous protein modeling
system. In "Theoretical Physics in biology. Symposium of XiangShan
scientific conferences, tribute to Prof. Peng Hengwu". Shanghai Science
and Technology Press.
J. Chen, H. Tang
and D. Ding (1997) Sequence-independent protein structure comparison. Acta .
Biophysica Sinica 13(4):216-222.
H. Tang and D. Ding (1997) A new algorithm for large-scale
genome sequence alignment. J.Biomath. 12(2):94-101.
H. Tang and D. Ding (1997) Very long genome sequence
analysis. In "Theoretical Physics in Biology. Symposium of XiangShan
scientific conferences, tribute to Prof. Peng Hengwu". Shanghai Science
and Technology Press.
H. Tang, J. Chen and D. Ding (1998) Empirical and
semi-empirical binding free energy calculation for protein-protein complex.
Acta Biochimica et Biophysica Sinica, 30(2):119-124.
Y. Ye, H. Tang
and D. Ding (1998) Predicting the solvated structures of protein mutants by
self-consistent ensemble optimization. Acat. Biophysica Sinica 14(2):311-317.
H. Tang, Y. Ye and D. Ding (1998) Flexible docking
proteins and "Drug-like " ligands. Acta Biochimica et Biophysica
Sinica 30(6):623-630.
Y. Ye, H. Tang
and D. Ding (1998) Design of protein cores by screening combinatorial sequence
library. Acta Biochimica et Biophysica Sinica 30(5):525-529.
H. Tang, J. Chen and D. Ding (1998) Structural prediction
of flexible complex of proteins. Acat. Biophysica Sinica, 14(4):750-756.
Y. Ye, H. Tang,
D. Ding (1999) Engineering novel functional proteins: grafting active sites
into natural scaffolds. Acta Biochimica et Biophysica Sinica., 31(3):303-308.
W. Zhang, H. Tang and D. Ding (1999)
Discussion about applicability of pharmacophore hypothesis in de novo design of
ligands. Acta. Biophysica
Sinica, 15(4):740-750.
W. Zhang, S. Zhang, H. Tang and D. Ding
(2000) Reverse-translated alignment of EST sequence with protein sequence. Acta. Biophysica Sinica ,
16(2):322-333.
S. Kruglyak and H. Tang (2000) Regulation of
Adjecent Yeast Genes. Trends in Genetics, 16(3):109-111.
S. Kruglyak and H. Tang (2001) A New
Estimator of Significance of Correlation in Time Series Data, J. Comp. Biol.
(accepted).
P. A. Pevzner, H. Tang and M. S. Waterman
(2001) A New Approach to Fragment Assembly in DNA
Sequencing. Proceedings of the Fifth Annual International Conference on
Computational Molecular Biology, April 2001, Montreal, Canada, ACM Press.
P. A. Pevzner, H. Tang, M. S. Waterman
(2001), An Eulerian path approach to DNA fragment assembly. Proc. Natl. Acad.
Sci. USA, 98(17):9748-53.
P. A. Pevzner, H. Tang, Fragment assembly
with double-barreled data. Bioinformatics. 2001 Jun;17 Suppl 1:S225-33 (Special
ISMB 2001 issue).