The Center for Systems Biology and Bioinformatics (CSBB) at NTU was established in June 2006. CSBB has recruited a group of scientists with a wide range of backgrounds, including mathematicians, computer scientists, systems scientists, and biologists to conduct leading research on

  • Creating quantitative model for complex biological systems.
  • Designing advanced algorithms for bioinformatics applications.

Collaborating with the Genomics Research Center of Academia Sinica, CSBB has launched a joint research project, called "Pilot Research program of Computational Biology", which is sponsored by the National Science Council and the Science and Technology Advisory Group of Taiwan and addresses biological networks, integrative cancer biology, structural informatics, and epidemiological genomics. The CSBB has released 6 leading bioinformatics software packages for protein sequence and structure analysis and prediction of protein interactions.

seeMotif

Given a set of motifs and a reference sequence, seeMotif helps to visualize and exploring these motifs in appropriate structures selected based on a reference sequence.   more...

ProteDNA

ProteDNA is a predictor of sequence-specific DNA-binding residues in transcription factors. more...

E1DS

E1DS (Enzyme 1-dimensional Signature) is a web server that carries out prediction of enzyme catalytic sites based on a collection of 1-dimensional signatures of protein sequences. The provided sequence signatures are derived by a novel pattern mining approach that aims at discovering long motifs consisted of several sequential blocks (ungapped polypeptides).   more...

MEDock

The MEDock (Maximum-Entropy based Docking) web server is aimed at providing an efficient utility for prediction of ligand binding site. A major distinction in the design of MEDock is that its global search mechanism is based on a novel optimization algorithm that exploits the maximum entropy property of the Gaussian distribution.   more...

iPDA

iPDA takes an amino acid sequence as the input and reports the prediction of disordered residues in graphical plots, along with some other useful information which is believed to be important when investigating the so called induced folding behavior. more...

Prote2s

The Preto2s web server provides protein secondary structure predictions based on a novel kernel density estimation algorithm. Prote2s: Prediction of protein secondary structures with a kernel density estimation based classifier. more...

MAGIIC-PRO

MAGIIC-PRO employs a novel constraint model to discover functional motifs that span several large irregular gaps in protein sequences. Using two types of gap constraints for different purposes improves the efficiency of the mining process while keeping high accuracy of mining results. The efficiency of the algorithm also helps to identify functional motifs that are conserved in only a small subset of the input sequences.   more...

Protemot

The Protemot (Protein motif) web server predicts protein binding sites based on the interaction templates automatically extracted from the compound crystals in the Protein Data Bank (PDB).   more...

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