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In search of the ideal protein sequence

Authors: Adam Godzik;

In search of the ideal protein sequence

Abstract

The inverse of a folding problem is to find the ideal sequence that folds into a particular protein structure. This problem has been addressed using the topology fingerprint-based threading algorithm, capable of calculating a score (energy) of an arbitrary sequence-structure pair. At first, the search is conducted by unconstrained minimization of the energy in sequence space. It is shown that using energy as the only design criterion leads to spurious solutions with incorrect amino acid composition. The problem lies in the general features of the protein energy surface as a function of both structure and sequence. The proposed solution is to design the sequence by maximizing the difference between its energy in the desired structure and in other known protein structures. Depending on the size of the database of structures 'to avoid', sequences bearing significant similarity to the native sequence of the target protein are obtained using this procedure.

Related Organizations
Keywords

Protein Folding, Databases, Factual, Molecular Sequence Data, Proteins, Thermodynamics, Amino Acid Sequence, Plastocyanin, Protein Engineering, Sequence Alignment, Algorithms

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    citations
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    24
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    Average
    influence
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Average
Top 10%
Top 10%
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