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All issues Volume 363 (2026) EPJ Web Conf., 363 (2026) 03003 References
Open Access
Issue
EPJ Web Conf.
Volume 363, 2026
International Conference on Low-Carbon Development and Materials for Solar Energy (ICLDMS’26)
Article Number 03003
Number of page(s) 6
Section Computational and Biological Materials
DOI https://doi.org/10.1051/epjconf/202636303003
Published online 16 April 2026
  1. E. Hamori, J. Ruskin, H Curves, A novel method of representation of nucleotide series especially suited for long DNA sequences, J. Biol. Chem. 258, 1318–1327,(1983). [Google Scholar]
  2. M. A. Gates, Simpler DNA sequence representations, Nature 316, 219–219,(1985). [Google Scholar]
  3. H. J. Jeffrey, Chaos game representation of gene structure, Nucleic Acids Res. 18, 2163–2170, (1990). [Google Scholar]
  4. P. M. Leong, S. Morgenthaler, Random walk and gap plots of DNA sequences, Comput. Appl. Biosci. 11, 503–507,(1995). [Google Scholar]
  5. M. Randic, M. Vracko, A. Nandy, S. C. Basak, On 3-D graphical representation o DNA primary sequences and their numerical characterization, J. Chem. Inf. Comput. Sci. 40, 1235–1244. (2000). [Google Scholar]
  6. M. Randic, Condensed representation of DNA primary sequences, J. Chem. Inf. Comput. Sci. 40, 50–56,(2000). [Google Scholar]
  7. C. Yu, M. Deng, S. S. T. Yau, DNA sequence comparison by a novel probabilistic method, Inform. Sci. 181, 1484–1492,(2011). [Google Scholar]
  8. Y. H. Yao, Q. Dai, X. Y. Nan, P. A. He, Z. M. Nie, S. P. Zhou, Y. Z. Zhang, Analysis of similarity/dissimilarity of DNA sequences based on a class of 2D graphical representation, J. Comput. Chem. 29, 1632–1639, (2008). [Google Scholar]
  9. C. Yu, Q. Liang, C. Yin, R. L. He, S. S. T. Yau, A novel construction of genome space with biological geometry, DNA Res. 17,155–168,(2010). [Google Scholar]
  10. S. Ding, Q. Dai, H. Liu, T. Wang, A simple feature representation vector for phylogenetic analysis of DNA sequences, J. Theor. Biol. 265, 618–623,(2010). [Google Scholar]
  11. M. K. Gupta, R. Niyogi, M. Misra, A new adjacent pair 2D graphical representation of DNA sequences, J. Biol. Syst. 21 (2013). [Google Scholar]
  12. G. Huang, H. Zhou, Y. Li, L. Xu, Alignment-free comparison of genome sequences by a new numerical characterization, J. Theor. Biol. 281, 107–112,(2011). [Google Scholar]
  13. N. Jafarzadeh, A. Iranmanesh, A novel graphical and numerical representation foranalyzing DNA sequences based on codons, MATCH Commun. Math. Comput. Chem. 68, 611–620, (2012). [Google Scholar]
  14. J. Song, Analysis of similarity of DNA sequences based on a novel 3-D graphical representation, in: T. Chang (Ed.), Advances in Biochemical Engineering, Inf. Engin. Res. Inst., Newark, 29–36,(2012). [Google Scholar]
  15. H. J. Yu, D. S. Huang, Novel 20-D descriptors of protein sequences and it’s applications in similarity analysis, Chem. Phys. Lett. 531,261–266,(2012). [Google Scholar]
  16. Z. H. Qi, J. Feng, X. Q. Qi, L. Li, Application of 2D graphic representation of protein sequence based on Huffman tree method, Comput. Biol. Med. 42,556–563,(2012). [Google Scholar]
  17. L. Z. X. Xie, Y. Yu, L. Liang, M. Guo, J. Song, Z. Yuan, Protein sequence analysis based on hydropathy profile of amino acids, J. Zhejiang Univ. Sci. B 13,152158,(2012). [Google Scholar]
  18. B. Liao, B. Liao, X. Lu, Z. Cao, A novel graphical representation of protein sequences and its application, J. Comput. Chem. 32, 2539–2544,(2011). [Google Scholar]
  19. C. Yu, S. Y. Cheng, R. L. He, S. S. T. Yau, Protein map: An alignment-free sequence comparison method based on various properties of amino acids, Gene 486, 110118,(2011). [Google Scholar]
  20. M. I. Abo el Maaty, M. M. Abo-Elkhier, M. A. AbdElwahaab, 3D graphical representation of protein sequences and their statistical characterization, Physica A 389, 4668–4676,(2010). [Google Scholar]
  21. Z. C. Wu, X. Xiao, K. C. Chou, 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids, J. Theor. Biol. 267,29–34,(2010). [Google Scholar]
  22. Y. H. Yao, Q. Dai, L. Li, X. Y. Nan, P. A. He, Y. Z. Zhang, Similarity/dissimilarity studies of protein sequences based on a new 2D graphical representation, J. Comput. Chem. 31, 1045–1052,(2010). [Google Scholar]
  23. J. Wen, Y. Zhang, A 2D graphical representation of protein sequence and its numerical characterization, Chem. Phys. Lett. 476, 281–286,(2009). [Google Scholar]
  24. M. Randic, K. Mehulic, D. Vukicevic, T. Pisanski, D. Vikic-Topic, D. Plavsic, Graphical representation of proteins as four-color maps and their numerical characterization, J. Mol. Graph. Model. 27,637–641,(2009). [Google Scholar]
  25. X. Xia, W. H. Li, What amino acid properties affect protein evolution? J. Mol. Evol. 47, 557–564,(1998). [Google Scholar]
  26. Robert Spicer, Nilanjana Raychawdhary, Shivaram Danwada, Priscilla Udomprasert, Cheryl Seals & Sutanu Bhattacharya “Evaluating the significance of embedding-based protein sequence alignment with clustering and double dynamic programming for remote homology”, Scientific Reports volume 15, Article number: 39601 (2025). [Google Scholar]
  27. M. Randi'c, J. Zupan, and A. T. Balaban, “Unique graphical representation of protein sequences based on nucleotide triplet codons,” Chemical Physics Letters, vol. 397, no. 1-3, 247–252, (2004). [Google Scholar]
  28. F. Bai and T. Wang, “A 2-D graphical representation of protein sequences based on nucleotide triplet codons,” Chemical Physics Letters, vol. 413, no. 4-6, 458-462, (2005) [Google Scholar]
  29. Y.h. Yao, F. Kong, Q. Dai, and P.-a. He, “A sequence-segmented method applied to the similarity analysis of long protein sequence,” MATCH: Communications in Mathematical and in Computer Chemistry, vol. 70, no. 1,431-450, (2013). [Google Scholar]
  30. Benjamin Giovanni Iovino & Yuzhen Ye “Protein embedding based alignment” BMC Bioinformatics, 25, 85 (2024). [Google Scholar]
  31. Saeedeh Akbari RoknAbadi, Azam Sadat Abdosalehi, Faezeh Pouyamehr & Somayyeh Koohi “An accurate alignment-free protein sequence comparator based on physicochemical properties of amino acids”. Scientific Reports volume 12, Article number: 11158 (2022) [Google Scholar]
  32. Ajay Kumar Saw, Binod Chandra Tripathy& Soumyadeep Nandi, “Alignment-free similarity analysis for protein sequences based on fuzzy integral”. Scientific Reports volume 9, Article number: 2775 (2019) [Google Scholar]
  33. Yongbin Zhao, Xiaohong Li, Zhaohui Qi, “Novel 2D Graphic Representation of Protein Sequence and Its Application” Journal of Fiber Bioengineering and Informatics 7:1 23–33 doi:10.3993/jfbi03201403(2014). [Google Scholar]

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