Harnessing Python and Biopython for Protein Sequence Alignment in Bioinformatics

Bhavani Podila, Padidela Swarochish Rao, Dr. Podila Naveen Kumar

Abstract: This study demonstrates the utility of Biopython, a Python-based bioinformatics library, in performing protein sequence alignments an essential task in modern biological research. By implementing both global (Needleman-Wunsch) and local (Smith-Waterman) alignment algorithms, we compared protein sequences of Hemoglobin Alpha, Hemoglobin Beta, and Cytochrome C. The results emphasize Biopython's efficiency and ease of use, highlighting its suitability for research and education. This paper offers insights into alignment strategies and encourages further adoption of Biopython in advanced bioinformatics workflows.

Keywords: Biopython, Protein Sequence Alignment, Python, Bioinformatics, Needleman-Wunsch, Smith-Waterman

How to Cite?: Bhavani Podila, Padidela Swarochish Rao, Dr. Podila Naveen Kumar, "Harnessing Python and Biopython for Protein Sequence Alignment in Bioinformatics", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 2278-2280, https://www.ijsr.net/getabstract.php?paperid=SR25415001124, DOI: https://dx.doi.org/10.21275/SR25415001124