Journal of Molecular Biology, volume 48, issue 3, pages 443-453

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

Publication typeJournal Article
Publication date1970-03-01
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor5.6
ISSN00222836, 10898638
Molecular Biology
Structural Biology
Abstract
A computer adaptable method for finding similarities in the amino acid sequences of two proteins has been developed. From these findings it is possible to determine whether significant homology exists between the proteins. This information is used to trace their possible evolutionary development. The maximum match is a number dependent upon the similarity of the sequences. One of its definitions is the largest number of amino acids of one protein that can be matched with those of a second protein allowing for all possible interruptions in either of the sequences. While the interruptions give rise to a very large number of comparisons, the method efficiently excludes from consideration those comparisons that cannot contribute to the maximum match. Comparisons are made from the smallest unit of significance, a pair of amino acids, one from each protein. All possible pairs are represented by a two-dimensional array, and all possible comparisons are represented by pathways through the array. For this maximum match only certain of the possible pathways must, be evaluated. A numerical value, one in this case, is assigned to every cell in the array representing like amino acids. The maximum match is the largest number that would result from summing the cell values of every

Top-30

Journals

50
100
150
200
250
300
350
Lecture Notes in Computer Science
307 publications, 4.06%
BMC Bioinformatics
173 publications, 2.29%
Bioinformatics
166 publications, 2.19%
Journal of Biological Chemistry
145 publications, 1.92%
PLoS ONE
125 publications, 1.65%
Journal of Molecular Biology
117 publications, 1.55%
Proteins: Structure, Function and Genetics
115 publications, 1.52%
Nucleic Acids Research
97 publications, 1.28%
Journal of Bacteriology
89 publications, 1.18%
Journal of Molecular Evolution
71 publications, 0.94%
Journal of Computational Biology
67 publications, 0.89%
Gene
60 publications, 0.79%
Protein Science
58 publications, 0.77%
FEBS Letters
51 publications, 0.67%
Methods in Molecular Biology
49 publications, 0.65%
Scientific Reports
44 publications, 0.58%
Virology
44 publications, 0.58%
IEEE/ACM Transactions on Computational Biology and Bioinformatics
40 publications, 0.53%
Genome Research
39 publications, 0.52%
Proceedings of the National Academy of Sciences of the United States of America
37 publications, 0.49%
Methods in Enzymology
36 publications, 0.48%
Nature
35 publications, 0.46%
Communications in Computer and Information Science
32 publications, 0.42%
Advances in Intelligent Systems and Computing
31 publications, 0.41%
Computational Biology and Chemistry
30 publications, 0.4%
PLoS Computational Biology
30 publications, 0.4%
Science
29 publications, 0.38%
Molecular Microbiology
28 publications, 0.37%
Briefings in Bioinformatics
28 publications, 0.37%
50
100
150
200
250
300
350

Publishers

200
400
600
800
1000
1200
1400
1600
Springer Nature
1500 publications, 19.83%
Elsevier
1289 publications, 17.04%
Institute of Electrical and Electronics Engineers (IEEE)
995 publications, 13.15%
Wiley
587 publications, 7.76%
Oxford University Press
422 publications, 5.58%
Cold Spring Harbor Laboratory
338 publications, 4.47%
Association for Computing Machinery (ACM)
250 publications, 3.31%
Public Library of Science (PLoS)
168 publications, 2.22%
American Society for Microbiology
154 publications, 2.04%
American Society for Biochemistry and Molecular Biology
151 publications, 2%
Taylor & Francis
141 publications, 1.86%
MDPI
113 publications, 1.49%
American Chemical Society (ACS)
99 publications, 1.31%
Mary Ann Liebert
86 publications, 1.14%
Frontiers Media S.A.
73 publications, 0.97%
World Scientific
47 publications, 0.62%
SAGE
39 publications, 0.52%
Proceedings of the National Academy of Sciences (PNAS)
37 publications, 0.49%
American Association for the Advancement of Science (AAAS)
33 publications, 0.44%
Hindawi Limited
28 publications, 0.37%
IGI Global
26 publications, 0.34%
Microbiology Society
20 publications, 0.26%
Walter de Gruyter
18 publications, 0.24%
Royal Society of Chemistry (RSC)
17 publications, 0.22%
Cambridge University Press
15 publications, 0.2%
IOP Publishing
15 publications, 0.2%
American Physical Society (APS)
13 publications, 0.17%
Society for Industrial and Applied Mathematics (SIAM)
13 publications, 0.17%
International Union of Crystallography (IUCr)
12 publications, 0.16%
200
400
600
800
1000
1200
1400
1600
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Needleman S. B., Wunsch C. D. A general method applicable to the search for similarities in the amino acid sequence of two proteins. // Journal of Molecular Biology. 1970. Vol. 48. No. 3. pp. 443-453.
GOST all authors (up to 50) Copy
Needleman S. B., Wunsch C. D. A general method applicable to the search for similarities in the amino acid sequence of two proteins. // Journal of Molecular Biology. 1970. Vol. 48. No. 3. pp. 443-453.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/0022-2836(70)90057-4
UR - https://doi.org/10.1016/0022-2836(70)90057-4
TI - A general method applicable to the search for similarities in the amino acid sequence of two proteins.
T2 - Journal of Molecular Biology
AU - Needleman, Saul B.
AU - Wunsch, Christian D.
PY - 1970
DA - 1970/03/01
PB - Elsevier
SP - 443-453
IS - 3
VL - 48
SN - 0022-2836
SN - 1089-8638
ER -
BibTex |
Cite this
BibTex Copy
@article{1970_Needleman,
author = {Saul B. Needleman and Christian D. Wunsch},
title = {A general method applicable to the search for similarities in the amino acid sequence of two proteins.},
journal = {Journal of Molecular Biology},
year = {1970},
volume = {48},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/0022-2836(70)90057-4},
number = {3},
pages = {443--453},
doi = {10.1016/0022-2836(70)90057-4}
}
MLA
Cite this
MLA Copy
Needleman, Saul B., and Christian D. Wunsch. “A general method applicable to the search for similarities in the amino acid sequence of two proteins..” Journal of Molecular Biology, vol. 48, no. 3, Mar. 1970, pp. 443-453. https://doi.org/10.1016/0022-2836(70)90057-4.
Found error?