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Subject
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Conserved amino acids 1 Knowledge-based potentials 1 Model 1 Protein evolution 1 inverse folding 1 neutral networks 1 protein evolution 1
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Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
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Undetermined 2
Author
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Babajide, Aderonke 1 Dokholyan, Nikolay V. 1 Farber, Robert 1 Hofacker, Ivo L. 1 Inman, Jeff 1 Lapedes, Alan S. 1 Mirny, Leonid A. 1 Shakhnovich, Eugene I. 1 Stadler, Peter F. 1
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Institution
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Santa Fe Institute 1
Published in...
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Physica A: Statistical Mechanics and its Applications 1 Working Papers / Santa Fe Institute 1
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RePEc 2
Showing 1 - 2 of 2
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Understanding conserved amino acids in proteins
Dokholyan, Nikolay V.; Mirny, Leonid A.; Shakhnovich, … - In: Physica A: Statistical Mechanics and its Applications 314 (2002) 1, pp. 600-606
It has been conjectured that evolution exerted pressure to preserve amino acids bearing thermodynamic, kinetic, and functional roles. In this letter we show that the physical requirement to maintain protein stability gives rise to a sequence conservatism pattern that is in remarkable agreement...
Persistent link: https://www.econbiz.de/10010591565
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Exploring Protein Sequence Space Using Knowledge-Based Potentials
Babajide, Aderonke; Farber, Robert; Hofacker, Ivo L.; … - Santa Fe Institute - 1998
Knowledge-based potentials can be used to decide whether an amino acid sequence is likely to fold into a prescribed native protein structure. We use this idea to survey the sequence-structure relations in protein space. In particular, we test the following two propositions which were found to be...
Persistent link: https://www.econbiz.de/10005790848
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