Protein structure prediction
Molecular modeling service
Bioinformatics service
Anticancer Drugs Design
Drug Design of Tadalafil Derivatives
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Sequence searching, comparision, and identify
Build revolution relationship beween races or on sequeces
Docking effect calculation of protein/small molecule
Analysis of correlation between gene expressions

 

We use hidden Markov models, artificial neural network, or other mechanical learning methods to search and study databases.

 

 

 

Build evolutionary relationship between sequences

We can calculate the distance between sequences of genes and proteins. A phylogenetic tree is then constructed to predict their evolutionary relationship.

 

 

Predicting protein-protein interaction 

We use some machine learning techniques such as artificial neural networks or support vector machines to predict whether there are interactions between proteins.  

 

 

 

 

 

Analysis of correlation between gene expressions

We import gene expression information (gene arrays or other experimental methods) from available sources. The expression correlation between these genes can be studied and predicted by using some statistical methods or a Bayesian network.