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Does Computational Biology Help us to Understand the Molecular Phylogenetics and Evolution of Cluster of Differentiation (CD) Proteins?

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Abstract

Cluster of differentiation (CD) is a group of proteins with highly immunological and medical importance, and some are established therapeutics. These membrane proteins are used to investigate of cell surface molecules of blood cells especially WBC. We selected a population of fifteen members with most medical importance, which includes CD2, CD4, CD5, CD6, CD7, CD9, CD14, CD16, CD19, CD22, CD28, CD33, CD36, CD38, and CD44 and performed in silico analysis using algorithm analysis and mathematical models. The results suggest that LEU (L) is well aligned. CD16 is rooted with CD22 and likewise, CD4 is closely related to CD44. Notably, highest number of highly conserved amino acids is recorded in CD22. WebLogo were formed up to 350 amino acid position and Met (M) is found to be tallest logo. Our results would be useful for upcoming researchers to obtain fundamental idea about the particular regions CD proteins which is having the structural and functional significance related to the evolutionary biology.

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Abbreviations

CD:

Cluster of differentiation

HLDA:

Human leukocyte differentiation antigens

HCDM:

Human cell differentiation molecules

MSA:

Multiple sequences alignment

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Acknowledgments

The authors thank the management of VIT University for providing the facilities to carry out this work.

Conflict of interest

The authors declare that we don’t have a conflict of interest.

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Authors and Affiliations

  1. Department of Bio-informatics, School of Computer and Information Sciences, Galgotias University, Greater Noida, India

    Chiranjib Chakraborty

  2. Medical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India

    C. George Priya Doss

  3. School of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India

    Ritu Sharma

  4. School of Computer and Information Sciences, Galgotias University, Greater Noida, India

    Subrata Sahana

  5. D.K.M. College for Women, Vellore, 632001, Tamil Nadu, India

    Thumpi S. Nair

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  1. Chiranjib Chakraborty
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  2. C. George Priya Doss
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  3. Ritu Sharma
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  4. Subrata Sahana
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Correspondence to Chiranjib Chakraborty or C. George Priya Doss.

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Chakraborty, C., George Priya Doss, C., Sharma, R. et al. Does Computational Biology Help us to Understand the Molecular Phylogenetics and Evolution of Cluster of Differentiation (CD) Proteins?. Protein J 32, 143–154 (2013). https://doi.org/10.1007/s10930-013-9466-5

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  • DOI: https://doi.org/10.1007/s10930-013-9466-5

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