BioMed Research International

Computational Molecular Networks and Network Pharmacology


Status
Published

Lead Editor

1Huazhong University of Science and Technology, Wuhan, China

2Tongji Univerisity, Shanghai, China

3Max Planck Institutefor Heart and Lung Research, Bad Nauheim, Germany

4Swiss Institute of Bioinformatics, Geneva, Switzerland

5Mount Sinai Medical Center, New York, USA


Computational Molecular Networks and Network Pharmacology

Description

For biomedical research relying on systems biology approaches, two major subdomains might have profound impacts: the molecular network for understanding the principles of regulations at multiple levels and network pharmacology to investigate the effect of small molecules on gene dynamics.

With the development of high-throughput sequencing and profiling techniques for genes and proteins and metabolites, massive amounts of omics data have been accumulated rapidly for biomedical research, especially for the clinical practices including but not limited to cancers, digestive diseases, and respiration diseases. The molecular networks represent the major method to integrate and interpret these biomedical big-data from the systems biology perspective. For example, the gene regulation network would contain the rich information about the dynamics of the gene-gene regulations and their relationships with diseases. The bioinformatics analyses on these molecular networks would also reveal important biological principles that might be hidden in the biomedical big-data.

Network pharmacology approach essentially investigates the “perturbation” of small molecules on the network, which would be important for drug-screening. This approach is useful for understanding the complex molecular network by means of network response to those small molecules such as chemical drugs, yet currently the analytical methods are lacking, making drug screening still laborious.

Therefore, we are emphasizing analytical method development for molecular networks and network pharmacology for a broad area of applications. Any computational methods towards better interpretation of molecular networks, as well as those methods related to network pharmacology, would be desired.

We are inviting investigators to submit original research papers and review articles that will stimulate the continuing efforts in the following areas.

This special issue would also be affiliated with the workshop Molecular Networks and Network Pharmacology on the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), which will be held on December 15–18, 2016, at the Kylin Villa, Shenzhen, Guangdong, China.

Potential topics include but are not limited to the following:

  • Methods for understanding gene-gene regulation networks
  • Methods for understanding protein-protein interaction networks
  • Methods for understanding species-species interaction networks for communities
  • Algorithms for decoding small molecule-gene coregulation networks
  • Applications of molecular network methods for understanding key biomedical questions
  • Methods for solving problems are associated with communications between cells or cells with extracellular components
  • Using network pharmacology approaches for drug screening applications

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 7573904
  • - Editorial

Computational Molecular Networks and Network Pharmacology

Kang Ning | Xinming Zhao | ... | Jialiang Yang
  • Special Issue
  • - Volume 2017
  • - Article ID 9829175
  • - Research Article

RNA-seq Based Transcription Characterization of Fusion Breakpoints as a Potential Estimator for Its Oncogenic Potential

Jian-lei Gu | Morris Chukhman | ... | Hui Lu
  • Special Issue
  • - Volume 2017
  • - Article ID 2320932
  • - Research Article

Systems Study on the Antirheumatic Mechanism of Tibetan Medicated-Bath Therapy Using Wuwei-Ganlu-Yaoyu-Keli

Tianhong Wang | Jian Yang | ... | Yang Ga
  • Special Issue
  • - Volume 2017
  • - Article ID 3035481
  • - Research Article

Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns

Zhi Han | Travis Johnson | ... | Kun Huang
  • Special Issue
  • - Volume 2017
  • - Article ID 2563085
  • - Research Article

Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis

Yang Shao | Bin Liang | ... | Shu-Juan Jiang
  • Special Issue
  • - Volume 2017
  • - Article ID 1016305
  • - Research Article

Identification of Pharmacologically Tractable Protein Complexes in Cancer Using the R-Based Network Clustering and Visualization Program MCODER

Sungjin Kwon | Hyosil Kim | Hyun Seok Kim
  • Special Issue
  • - Volume 2017
  • - Article ID 7049406
  • - Review Article

Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network

Yuming Zhao | Fang Wang | ... | Guohua Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 6375059
  • - Research Article

CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks

Jing Wang | Cheng Ling | Jingyang Gao
  • Special Issue
  • - Volume 2017
  • - Article ID 8347085
  • - Research Article

Identification of Transcriptional Modules and Key Genes in Chickens Infected with Salmonella enterica Serovar Pullorum Using Integrated Coexpression Analyses

Bao-Hong Liu | Jian-Ping Cai
  • Special Issue
  • - Volume 2017
  • - Article ID 5073427
  • - Research Article

Joint -Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction

Chun-Mei Feng | Ying-Lian Gao | ... | Chang-Gang Wen
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
 Submit