Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Analysis of similarity/dissimilarity of protein sequences.

Literature DB >> 18536018

Analysis of similarity/dissimilarity of protein sequences.

Yu-Hua Yao¹, Qi Dai, Chun Li, Ping-An He, Xu-Ying Nan, Yao-Zhou Zhang.

Abstract

On the basis of a selected pair of physicochemical properties of amino acids, we introduce a dynamic 2D graphical representation of protein sequences. Then, we introduce and compare two numerical characterizations of protein graphs as descriptors to analyze the nine ND5 proteins. The approach is simple, convenient, and fast.

Entities: Gene

Mesh：

Substances：

Year: 2008 PMID： 18536018 DOI： 10.1002/prot.22110

Source DB: PubMed Journal: Proteins ISSN： 0887-3585

Keyword Cloud
Cited

13 in total

1. Protein sequence analysis based on hydropathy profile of amino acids.

Authors: Xiao-li Xie; Li-fei Zheng; Ying Yu; Li-ping Liang; Man-cai Guo; John Song; Zhi-fa Yuan
Journal: J Zhejiang Univ Sci B Date: 2012-02 Impact factor: 3.066

2. Identifying anticancer peptides by using a generalized chaos game representation.

Authors: Li Ge; Jiaguo Liu; Yusen Zhang; Matthias Dehmer
Journal: J Math Biol Date: 2018-10-05 Impact factor: 2.259

3. Large local analysis of the unaligned genome and its application.

Authors: Lianping Yang; Xiangde Zhang; Tianming Wang; Hegui Zhu
Journal: J Comput Biol Date: 2013-01 Impact factor: 1.479

4. Novel numerical characterization of protein sequences based on individual amino acid and its application.

Authors: Yan-ping Zhang; Ya-jun Sheng; Wei Zheng; Ping-an He; Ji-shuo Ruan
Journal: Biomed Res Int Date: 2015-02-02 Impact factor: 3.411

5. An Alignment-Free Algorithm in Comparing the Similarity of Protein Sequences Based on Pseudo-Markov Transition Probabilities among Amino Acids.

Authors: Yushuang Li; Tian Song; Jiasheng Yang; Yi Zhang; Jialiang Yang
Journal: PLoS One Date: 2016-12-05 Impact factor: 3.240

Analysis of similarity/dissimilarity of protein sequences.

1. Protein sequence analysis based on hydropathy profile of amino acids.

2. Identifying anticancer peptides by using a generalized chaos game representation.

3. Large local analysis of the unaligned genome and its application.

4. Novel numerical characterization of protein sequences based on individual amino acid and its application.

5. An Alignment-Free Algorithm in Comparing the Similarity of Protein Sequences Based on Pseudo-Markov Transition Probabilities among Amino Acids.

6. Chemical property based sequence characterization of PpcA and its homolog proteins PpcB-E: A mathematical approach.

7. Protein Sequence Comparison Based on Physicochemical Properties and the Position-Feature Energy Matrix.

8. FEGS: a novel feature extraction model for protein sequences and its applications.

9. Similarity/Dissimilarity analysis of protein sequences based on a new spectrum-like graphical representation.

10. Mathematical Characterization of Protein Sequences Using Patterns as Chemical Group Combinations of Amino Acids.