Current Bioinformatics

Current Bioinformatics

ISSN: 1574-8936
E-ISSN: 2212-392X

Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.

Frequency	10
Coverage	2006
Language	English
Journal Status	Active

Impact Factor	2.4
Five-Year Impact Factor	1.8

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- A Review of Ensemble Methods in Bioinformatics
  
  Authors: Pengyi Yang, Yee Hwa Yang, Bing B. Zhou and Albert Y. Zomaya
- Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis
  
  Authors: Masahiro Sugimoto, Masato Kawakami, Martin Robert, Tomoyoshi Soga and Masaru Tomita
- Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification
  
  Authors: Haoyu Zhang, Quan Zou, Ying Ju, Chenggang Song and Dong Chen
- A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods
  
  Authors: Jun Zhang and Bin Liu
- Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation
  
  Authors: Chris Duran, Nikki Appleby, David Edwards and Jacqueline Batley
- A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization
  
  Authors: Wuritu Yang, Xiao-Juan Zhu, Jian Huang, Hui Ding and Hao Lin
- Cancer Diagnosis Through IsomiR Expression with Machine Learning Method
  
  Authors: Zhijun Liao, Dapeng Li, Xinrui Wang, Lisheng Li and Quan Zou
- The Advances and Challenges of Deep Learning Application in Biological Big Data Processing
  
  Authors: Li Peng, Manman Peng, Bo Liao, Guohua Huang, Weibiao Li and Dingfeng Xie
- Gene Expression Profile Classification: A Review
  
  Authors: Musa H. Asyali, Dilek Colak, Omer Demirkaya and Mehmet S. Inan
- Relevance of Molecular Docking Studies in Drug Designing
  
  Authors: Ritu Jakhar, Mehak Dangi, Alka Khichi and Anil K. Chhillar
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Current Bioinformatics

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CFCN: An HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning

Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer

Sia-m7G: Predicting m7G Sites through the Siamese Neural Network with an Attention Mechanism

Enhancing Drug-Target Binding Affinity Prediction through Deep Learning and Protein Secondary Structure Integration

Genotype and Phenotype Association Analysis Based on Multi-omics Statistical Data

STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer

A-RFP: An Adaptive Residue Flexibility Prediction Method Improving Protein-ligand Docking Based on Homologous Proteins

Advances in Deep Learning Assisted Drug Discovery Methods: A Self-review

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Most Cited Most Cited RSS feed

A Review of Ensemble Methods in Bioinformatics

Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis

Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification

A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods

Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation

A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization

Cancer Diagnosis Through IsomiR Expression with Machine Learning Method

The Advances and Challenges of Deep Learning Application in Biological Big Data Processing

Gene Expression Profile Classification: A Review

Relevance of Molecular Docking Studies in Drug Designing