Literature DB >> 10547294

De novo protein design. II. Plasticity in sequence space.

P Koehl1, M Levitt.   

Abstract

It is generally accepted that many different protein sequences have similar folded structures, and that there is a relatively high probability that a new sequence possesses a previously observed fold. An indirect consequence of this is that protein design should define the sequence space accessible to a given structure, rather than providing a single optimized sequence. We have recently developed a new approach for protein sequence design, which optimizes the complete sequence of a protein based on the knowledge of its backbone structure, its amino acid composition and a physical energy function including van der Waals interactions, electrostatics, and environment free energy. The specificity of the designed sequence for its template backbone is imposed by keeping the amino acid composition fixed. Here, we show that our procedure converges in sequence space, albeit not to the native sequence of the protein. We observe that while polar residues are well conserved in our designed sequences, non-polar amino acids at the surface of a protein are often replaced by polar residues. The designed sequences provide a multiple alignment of sequences that all adopt the same three-dimensional fold. This alignment is used to derive a profile matrix for chicken triose phosphate isomerase, TIM. The matrix is found to recognize significantly the native sequence for TIM, as well as closely related sequences. Possible application of this approach to protein fold recognition is discussed. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10547294     DOI: 10.1006/jmbi.1999.3212

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  22 in total

1.  Prediction of amino acid sequence from structure.

Authors:  K Raha; A M Wollacott; M J Italia; J R Desjarlais
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

2.  Improved recognition of native-like protein structures using a family of designed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

3.  Protein topology and stability define the space of allowed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

4.  Native protein sequences are close to optimal for their structures.

Authors:  B Kuhlman; D Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

5.  Sequence variations within protein families are linearly related to structural variations.

Authors:  Patrice Koehl; Michael Levitt
Journal:  J Mol Biol       Date:  2002-10-25       Impact factor: 5.469

6.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

7.  Folding free energy function selects native-like protein sequences in the core but not on the surface.

Authors:  Alfonso Jaramillo; Lorenz Wernisch; Stéphanie Héry; Shoshana J Wodak
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-04       Impact factor: 11.205

8.  Roles of mutation and recombination in the evolution of protein thermodynamics.

Authors:  Yu Xia; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

9.  Computational protein design is a challenge for implicit solvation models.

Authors:  Alfonso Jaramillo; Shoshana J Wodak
Journal:  Biophys J       Date:  2004-09-17       Impact factor: 4.033

10.  Discovery of entry inhibitors for HIV-1 via a new de novo protein design framework.

Authors:  M L Bellows; M S Taylor; P A Cole; L Shen; R F Siliciano; H K Fung; C A Floudas
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

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