Literature DB >> 15667136

New invariant of DNA sequences.

Chun Li1, Jun Wang.   

Abstract

For a DNA sequence with n bases, one can always associate it with an n x n nonnegative real symmetric matrix whose diagonal entries are zero. Once the matrix is given, its leading eigenvalue is usually calculated and used as an invariant to characterize the DNA sequence. Let M be such a matrix, and lambda1 its leading eigenvalue. Then (1/n)//M//m1 and sqrt [(n-1)/n]//M//F are the lower and upper bounds of lambda1, respectively. Since their arithmetic average is an approximate value of lambda1 and simpler for calculation, we can use it as an alternative invariant to characterize the DNA sequence. The utility of the new parameter is illustrated on the DNA sequences of five species: human, chimpanzee, mouse, rat, and gallus.

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Year:  2005        PMID: 15667136     DOI: 10.1021/ci049874l

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  A novel way to numerically characterize DNA sequences and its application.

Authors:  Ying Guo; Yan-Fang Wang; Sheng-Li Zhang
Journal:  Int J Quantum Chem       Date:  2010-11-03       Impact factor: 2.444

Review 2.  Graphical representation and mathematical characterization of protein sequences and applications to viral proteins.

Authors:  Ambarnil Ghosh; Ashesh Nandy
Journal:  Adv Protein Chem Struct Biol       Date:  2011       Impact factor: 3.507

3.  Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation.

Authors:  Chun Li; Jialing Zhao; Changzhong Wang; Yuhua Yao
Journal:  Comb Chem High Throughput Screen       Date:  2018       Impact factor: 1.339

  3 in total

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