Using Gene networks to drug target identification

نویسندگان

  • Zhenran Jiang
  • Yanhong Zhou
چکیده

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 increasingly important role in searching for novel drug targets from the information contained in genomics. In this paper, we discuss some of the network-based approaches for identifying drug targets, with the emphasis on the gene network strategy. In addition, some of the relevant data resources and computational tools are given.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

In silico identification of miRNAs and their target genes and analysis of gene co-expression network in saffron (Crocus sativus L.) stigma

As an aromatic and colorful plant of substantive taste, saffron (Crocus sativus L.) owes such properties of matter to growing class of the secondary metabolites derived from the carotenoids, apocarotenoids. Regarding the critical role of microRNAs in secondary metabolic synthesis and the limited number of identified miRNAs in C. sativus, on the other hand, one may see the point how the characte...

متن کامل

Identification and prioritization genes related to Hypercholesterolemia QTLs using gene ontology and protein interaction networks

Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...

متن کامل

O-3: Drug Repositioning by Merging Gene Expression Data Analysis and Cheminformatics Target Prediction Approaches

The transcriptional responses of drug treatments combined with a protein target prediction algorithm was utilised to associate compounds to biological genomic space. This enabled us to predict efficacy of compounds in cMap and LINCS against 181 databases of diseases extracted from GEO. 18/30 of top drugs predicted for leukemia (e.g. Leflunomide and Etoposide) and breast cancer (e.g. Tamoxifen a...

متن کامل

Proteomics Applications in Health: Biomarker and Drug Discovery and Food Industry

Advancing in genome sequencing has greatly propelled the understanding of the living world, however, it is insufficient for full description of a biological system. Focusing on, proteomics has emerged as another large-scale platform for improving the understanding of biology. Proteomic experiments can be used for different aspects of clinical and health sciences such as food technology, biomark...

متن کامل

Proteomics Applications in Health: Biomarker and Drug Discovery and Food Industry

Advancing in genome sequencing has greatly propelled the understanding of the living world, however, it is insufficient for full description of a biological system. Focusing on, proteomics has emerged as another large-scale platform for improving the understanding of biology. Proteomic experiments can be used for different aspects of clinical and health sciences such as food technology, biomark...

متن کامل

The in Silico Characterization of a Salicylic Acid Analogue Coding Gene Clusters in Selected Pseudomonas Fluorescens Strains

Background: The microbial genome sequences provide solid in silico framework for interpretation their drug-like chemical scaffolds biosynthetic potential. The Pseudomonas fluorescens species is metabolically versatile and producing therapeutically important natural products.Objectives: The main objective of the present study was to mine the publically available data of P. fluorescens stra...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Integrative Bioinformatics

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2005