BioMed Research International

Sequence and Structure Analysis of Biological Molecules Based on Computational Methods


Publishing date
13 Mar 2015
Status
Published
Submission deadline
24 Oct 2014

Lead Editor

1Dezhou University, Dezhou, China

2Griffith University, Brisbane, Australia

3Southeast University, Nanjing, China


Sequence and Structure Analysis of Biological Molecules Based on Computational Methods

Description

The number of sequences and structures of biological molecules, such as DNA, RNA, and proteins, is explosively increasing in databases. Although the topics of sequence analysis and structure prediction of biological molecules have lasted for more than twenty years, more and more studies indicate that how to discover physical features lying behind this big data is still an unsolved problem. On one hand, the existing features were often found not to sufficiently represent overall properties of sequences and structures. The discovery of novel features itself will enhance the understanding of the relation between sequence, structure, and biological function. On the other hand, the conventional paradigm of sequence-structure-function is being challenged by the intrinsically disordered proteins (IDPs), which are a new class of proteins that lack unique tertiary structure under natural conditions while possessing essential biological functions. Therefore, it is urgent to perform sequence and structure analysis based on computational methods to comprehensively describe the intrinsic properties of biological molecules. The studies on these aspects will be important for discovering the disease mechanism and thus useful for the drug design.

This special issue will provide a platform to integrate the most recent development and ideas in the field. We call for original research articles and reviews.

Potential topics include, but are not limited to:

  • Graphical representation of biological sequences and its applications
  • Sequence pattern discovery based on computational methods
  • Discovery of novel structural properties by molecular dynamics simulations
  • Prediction or biological analysis of intrinsic disorder proteins
  • Molecular interactions between protein and other molecules
  • Secondary structure and 3D structure prediction of protein and RNA
  • Single-nucleotide polymorphism (SNP)
  • Systems biology methods based sequence-structure-function analysis

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 524821
  • - Research Article

An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions

Junliang Shang | Yan Sun | ... | Junying Zhang
  • Special Issue
  • - Volume 2015
  • - Article ID 565328
  • - Editorial

Sequence and Structure Analysis of Biological Molecules Based on Computational Methods

Jia-Feng Yu | Yue-Dong Yang | ... | Ji-Hua Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 619438
  • - Research Article

Multi-Instance Multilabel Learning with Weak-Label for Predicting Protein Function in Electricigens

Jian-Sheng Wu | Hai-Feng Hu | ... | Li-Hua Tang
  • Special Issue
  • - Volume 2015
  • - Article ID 168358
  • - Research Article

Evolutionary and Expression Analysis of miR-#-5p and miR-#-3p at the miRNAs/isomiRs Levels

Li Guo | Jiafeng Yu | ... | Feng Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 910515
  • - Research Article

Constraint Programming Based Biomarker Optimization

Manli Zhou | Youxi Luo | ... | Fengfeng Zhou
  • Special Issue
  • - Volume 2015
  • - Article ID 821596
  • - Research Article

Nucleosome Organization around Pseudogenes in the Human Genome

Guoqing Liu | Fen Feng | ... | Lu Cai
  • Special Issue
  • - Volume 2015
  • - Article ID 746980
  • - Research Article

Strong Ligand-Protein Interactions Derived from Diffuse Ligand Interactions with Loose Binding Sites

Lorraine Marsh
  • Special Issue
  • - Volume 2015
  • - Article ID 817134
  • - Research Article

Predicting Homogeneous Pilus Structure from Monomeric Data and Sparse Constraints

Ke Xiao | Chuanjun Shu | ... | Xiao Sun
  • Special Issue
  • - Volume 2015
  • - Article ID 313709
  • - Research Article

A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction

Meng Liu | Xia Li | ... | Ju Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 716945
  • - Research Article

Redesigning Protein Cavities as a Strategy for Increasing Affinity in Protein-Protein Interaction: Interferon-γ Receptor 1 as a Model

Jiří Černý | Lada Biedermannová | ... | Bohdan Schneider
BioMed Research International
 Journal metrics
Acceptance rate30%
Submission to final decision82 days
Acceptance to publication44 days
CiteScore2.410
Impact Factor2.197
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