Tag Archives: proteomics

Systems Biology and Drug Screening

Conventional drug design mostly uses the ligand and structure-based approaches (Prathipati and Mizuguchi, 2015). With the advancement in functional genomics and the availability of high-throughput (HTP) data, information on interactive molecular networks can be used to analyze the efficacy and … Continue reading

Posted in Systems Biology | Tagged , , , , , , , , , | Leave a comment

Nutritional Systems Biology and Type 2 Diabetes

Systems biology studies include the investigations in various “omics” areas, such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, as well as microbiomics. Combining both computational and experimental biology, systems biology aims at prediction of the dynamical processes and the description of … Continue reading

Posted in Systems Biology | Tagged , , , , , , , , , , , , | Leave a comment

The Database of Biomarkers: Depression – Proteomic and Pathway Biomarkers

The Database of Biomarkers: Depression – Proteomic and Pathway Biomarkers •    Potential Biomarkers: The tryptophan-kynurenine pathway Detections: Increased indoleamine 2,3-dioxygenase activity Potential Applications: Diagnostic biomarkers References: Christmas DM, Potokar J, Davies SJ. A biological pathway linking inflammation and depression: activation … Continue reading

Posted in Bioinformatics, Biomarkers, Systems Biology | Tagged , , , , , , , , , , , , , , | Leave a comment

The Database of Biomarkers: Proteomic and Pathway Biomarkers – Cancers

Associated diseases/conditions: Non-small cell lung cancer (NSCLC)   Potential Biomarkers: Insulin-like growth factor (IGF) pathway   Detections: Protein expressions, serum levels   Potential Applications: Predictive biomarkers (tumor progression and patient outcomes)   References: Shersher DD, Vercillo MS, Fhied C, Basu … Continue reading

Posted in Bioinformatics, Biomarkers, Systems Biology | Tagged , , , , , , , , , , | Leave a comment

Bioinformatics Databases and Tools for the Discovery of Proteomic and Pathway Biomarkers

BioLayout (http://www.biolayout.org/) Feature: “For the visualization and analysis of network graphs” Cytoscape (http://www.cytoscape.org/) Feature: “Network visualization” E-Cell (http://www.e-cell.org/) Feature: Computational models GelBank (http://gelbank.anl.gov/) Feature: “comparison of 2DE patterns in the context of proteome sequence queries” Gene Ontology (http://www.geneontology.org/) Feature: “Standardizing … Continue reading

Posted in Bioinformatics, Biomarkers, Systems Biology | Tagged , , , , , , , , , , , , | Leave a comment

The integration of various “omics” technologies in systems biology for better diagnosis and treatment

With the advancements in the “omics” technologies and the information technology, systems biology has become an important approach for biomarker discovery. These technologies allow faster and cheaper analyses of gene expression, protein interactions, signaling pathways, and metabolic mechanisms. In this … Continue reading

Posted in Systems Biology, Systems Medicine | Tagged , , , , , , , , , , , , , , | Leave a comment

Systems medicine, P4 medicine, and an integrative “Human Model”

Conventional practice in Western medicine focuses on doctors’ “reactive” interventions in response to the occurrence of diseases. With the advancement of genomics, proteomics, and various high efficient “omics” technologies, the multidimensional networks of the human body can be investigated for … Continue reading

Posted in Systems Biology, Systems Medicine | Tagged , , , , , , , , , , , , , , , , | Leave a comment

Neuroinformatics: An Introduction

Neuroinformatics: An Introduction The challenges in neuroinformatics   Challenges in making neuroinformatics databases and tools (Morse, 2008) The variety in spatial scales Various data types Traditional bioinformatics concentrates on Genomic and proteomic data Sequences (DNA, RNA, and protein molecules) Development … Continue reading

Posted in Bioinformatics, Brain, Nervous System, Neuroinformatics | Tagged , , , , , , , , , , , , , , , , , , , , | Leave a comment