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 2954351
  • - Research Article

Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model

Yang Peng | Paul Scott | ... | Guang Peng
  • Special Issue
  • - Volume 2017
  • - Article ID 5346793
  • - Research Article

COPAR: A ChIP-Seq Optimal Peak Analyzer

Binhua Tang | Xihan Wang | Victor X. Jin
  • Special Issue
  • - Volume 2017
  • - Article ID 4585213
  • - Research Article

MicroRNA Mediating Networks in Granulosa Cells Associated with Ovarian Follicular Development

Baoyun Zhang | Long Chen | ... | Pingqing Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 5741948
  • - Research Article

Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach

Fei Yuan | Yu-Hang Zhang | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2017
  • - Article ID 3859582
  • - Research Article

Cancer-Related Triplets of mRNA-lncRNA-miRNA Revealed by Integrative Network in Uterine Corpus Endometrial Carcinoma

Chenglin Liu | Yu-Hang Zhang | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2017
  • - Article ID 6132436
  • - Research Article

Identifying and Analyzing Novel Epilepsy-Related Genes Using Random Walk with Restart Algorithm

Wei Guo | Dong-Mei Shang | ... | Yu-Fei Gao
  • Special Issue
  • - Volume 2017
  • - Article ID 7259097
  • - Research Article

Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data

Bing Jiang | Shuwen Li | ... | Ping Shao
  • Special Issue
  • - Volume 2016
  • - Article ID 4618323
  • - Research Article

Novel Biomarker MicroRNAs for Subtyping of Acute Coronary Syndrome: A Bioinformatics Approach

Yujie Zhu | Yuxin Lin | ... | Jingjing Shi
BioMed Research International
 Journal metrics
See full report
Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
Journal Citation Indicator-
Impact Factor-
 Submit Evaluate your manuscript with the free Manuscript Language Checker

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.