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Cited by 338

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Modeling Amino Acid Replacement

Müller, Tobias, Vingron, Martin·2000·Journal of Computational Biology

Abstract

The estimation of amino acid replacement frequencies during molecular evolution is crucial for many applications in sequence analysis. Score matrices for database search programs or phylogenetic analysis rely on such models of protein evolution. Pioneering work was done by Dayhoff et al. (1978) who formulated a Markov model of evolution and derived the famous PAM score matrices. Her estimation procedure for amino acid exchange frequencies is restricted to pairs of proteins that have a constant and small degree of divergence. Here we present an improved estimator, called the resolvent method, that is not subject to these limitations. This extension of Dayhoff's approach enables us to estimate an amino acid substitution model from alignments of varying degree of divergence. Extensive simulations show the capability of the new estimator to recover accurately the exchange frequencies among amino acids. Based on the SYSTERS database of aligned protein families (Krause and Vingron, 1998) we recompute a series of score matrices.

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Metadata

Authors
Müller, T., & Vingron, M.
Venue
Journal of Computational Biology
Published
2000-12
Volume
7
Issue
6
Pages
761-776
ISSN
  • 1066-5277 (ISSN-L)
  • 1557-8666
OpenAlex
W2026881360
Cited by
338
References
26
FWCI
3.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling Amino Acid Replacement. https://app.cochat.ai/papers/10.1089/10665270050514918
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Müller, T., & Vingron, M. (2000). Modeling Amino Acid Replacement. Journal of Computational Biology. https://doi.org/10.1089/10665270050514918

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