Computational Biology & Drug Design Group
CBDD Group(Computational Biology & Drug Design Group)was founded in 2012, it belongs to the Department of Medicinal Chemistry, School of Pharmaceutical Sciences of CSU. The center relies on a number of more powerful hardware platform (several sets of computing clusters) and comprehensive software platform (MOE, IPA, Discovery Studio, Sybyl etc.). We have carried out a series of studies in drug design, chemoinformatics and Artificial Intelligent Systems for Drug Discovery and Disease Diagnosis, and made a number of representative research findings. Welcome to pay attention to our group, strengthen communication and cooperation, and welcome students interested in the above research fields to apply for master's degree and doctor's degree, so as to prosper our team together. Continue Reading »
GPCRnet is an open web server that could be used for netting or predicting the binding of multiple GPCR targets for any given molecule. It is of high importance to reliably and fast predict DTI profiling of the chemicals on a genome-scale level. GPCRnet was developed in order to attempt address the difficulties...
We implemented a selection of sophisticated network-based node similarity measures and provide them as a package for the free and open source software environment-python. The PyNetSim package aims at providing the user with comprehensive implementations of these similarity measures in a ...
To develop a powerful model for prediction tasks, one of the most important things to consider is how to effectively represent the molecules under investigation such as small molecules, proteins, DNA/RNA and even complex interactions, by a descriptor. BioTriangle is a feature-rich toolkit used for ...
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