Zhenran Jiang

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Genomics and proteomics technologies have created a paradigm shift in the drug discovery process, with bioinformatics having a key role in the exploitation of genomic, transcriptomic, and proteomic data to gain insights into the molecular mechanisms that underlie disease and to identify potential drug targets. We discuss the current state of the art for(More)
Caspases play an important role in many critical non-apoptosis processes by cleaving relevant substrates at cleavage sites. Identification of caspase substrate cleavage sites is the key to understand these processes. This paper proposes a hybrid method using support vector machine (SVM) in conjunction with position specific scoring matrices (PSSM) for(More)
Inferring the functional relationships among proteins remains a challenging task in the post-genomics. With the increasing number of completed genomes and comparative genomics methods, application of phylogenetic profiles as a predictor of protein function has been proven to be a promising strategy for inferring the relationship of the proteins. This paper(More)
Most of gene product similarity measurements concentrate on the information content of Gene Ontology (GO) terms or use a path-based similarity between GO terms, which may ignore other important information contained in the structure of the ontology. In our study, we integrate different GO similarity measure approaches to analyze the functional relationship(More)
G protein-coupled receptors (GPCRs) represent one of the most important categories of membrane proteins that play important roles in signaling pathways. GPCRs transduce the extracellular stimuli into intracellular second messengers via their coupling to specific class of heterotrimeric GTP-binding proteins (G proteins) and the subsequent regulation of a(More)
The complete genome sequences have provided a plethora of potential drug targets. Gene network technique holds the promise of providing a conceptual framework for analysis of the profusion of biological data being generated on potential drug targets and providing insights to understand the biological regulatory mechanisms in diseases, which are playing an(More)
Inhibition of angiogenesis is considered as one of the desirable pathways for the treatment of tumor growth and metastasis. Herein we demonstrated that a series of pyridinyl-thiazolyl carboxamide derivatives were designed, synthesized and examined against angiogenesis through a colony formation and migration assays of human umbilical vein endothelial cells(More)
AIM Drug-target interaction is crucial in the drug design process. Predicting the drug-target interaction networks of important human diseases can provide valuable clues for the characterization of the mechanism of action of diseases. MATERIALS & METHODS A new graph-based semisupervised learning (GBSSL) method is proposed to predict the drug-target(More)
The completion of the sequencing of the human genome has opened an unprecedented opportunity in the discovery of novel drug targets for disease therapy. However, one of the major challenges facing the drug discovery community is the expanding of data and the need of large-scale computational power in a collaborative environment. Grid techniques can present(More)