Cited by 11,288Genomics and Phylogenetic StudiesFractal and DNA sequence analysisAlgorithms and Data Compression

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A general method applicable to the search for similarities in the amino acid sequence of two proteins

Needleman, Saul B., Wunsch, Christian D.·1970·Journal of Molecular Biology

DOI 10.1016/0022-2836(70)90057-4

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Evolving Genes and Proteins
Bryson, V., & Vogel, H. J. (1965) · Science · doi:10.1126/science.147.3653.68 · Cited by 1,343
The Amino Acid Sequence of Egg White Lysozyme
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The Sequence of Amino Acid Residues in Bovine Pancreatic Ribonuclease: Revisions and Confirmations
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Amino-Acid Sequence of Sperm Whale Myoglobin
Edmundson, A. B. (1965) · Nature · doi:10.1038/205883a0 · Cited by 396
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Fine Structure of RNA Codewords Recognized by Bacterial, Amphibian, and Mammalian Transfer RNA
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The Structure of Human Hemoglobin
Konigsberg, W. H., & Hill, R. (1962) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)50137-x · Cited by 115
The Structure of Human Hemoglobin
Konigsberg, W. H., Goldstein, J., & Hill, R. (1963) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)67936-0 · Cited by 76
A Comparison of the Amino Acid Sequences of the Cytochrome c of Several Vertebrates.
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“Pairwise sequence alignments are constructed via the Needleman–Wunsch dynamic programming algorithm 63 , which employs the BLOSUM62 substitution matrix 64 for proteins and NUC44 for nucleotides (ftp:// ftp.ncbi.nih.gov/blast/matrices/NUC.4.4).”
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“…less than 300, then we pick all pairs), compute pair-wise alignment of each pair using either the E -score or BLO-SUM matrix, according to the Needleman-Wunsch dynamic programming global alignment algorithm [23], but without any penalties for gaps at the ends; we call this end-gap-free alignment.”
Method
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“Dynamic programming serves as a prevalent approach in sequence alignment algorithms [25, 31].”
Method
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Authors: Needleman, S. B., & Wunsch, C. D.
Affiliations: Northwestern University (US)
Venue: Journal of Molecular Biology
Publisher: Elsevier BV
Published: 1970-03
Volume: 48
Issue: 3
Pages: 443-453
ISSN: 0022-2836 (ISSN-L)
DOI: 10.1016/0022-2836(70)90057-4
OpenAlex: W2074231493
Cited by: 11,288
References: 11
Citations by year: 2026: 212 · 2025: 270 · 2024: 379 · 2023: 369 · 2022: 358 · 2021: 420 · 2020: 415 · 2019: 356 · 2018: 403 · 2017: 359 · 2016: 380 · 2015: 383 · 2014: 436 · 2013: 441 · 2012: 423
FWCI: 4.31
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Molecular Biology (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
Keywords: protein sequence comparison, amino acid sequence similarity, protein homology, protein evolution, dynamic programming, two-dimensional arrays, computational algorithms
MeSH terms: Amino Acid Sequence, Computers, Hemoglobins, Methods, Muramidase, Myoglobin, Probability, Ribonucleases

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A general method applicable to the search for similarities in the amino acid sequence of two proteins

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