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2LVB

Solution NMR Structure DE NOVO DESIGNED PFK fold PROTEIN, Northeast Structural Genomics Consortium (NESG) Target OR250

Summary for 2LVB
Entry DOI10.2210/pdb2lvb/pdb
NMR InformationBMRB: 18561
DescriptorDE NOVO DESIGNED PFK fold PROTEIN (1 entity in total)
Functional Keywordsstructural genomics, northeast structural genomics consortium (nesg), psi-biology, protein structure initiative, de novo protein
Biological sourceartificial gene
Total number of polymer chains1
Total formula weight12671.15
Authors
Primary citationKoga, N.,Tatsumi-Koga, R.,Liu, G.,Xiao, R.,Acton, T.B.,Montelione, G.T.,Baker, D.
Principles for designing ideal protein structures.
Nature, 491:222-227, 2012
Cited by
PubMed Abstract: Unlike random heteropolymers, natural proteins fold into unique ordered structures. Understanding how these are encoded in amino-acid sequences is complicated by energetically unfavourable non-ideal features--for example kinked α-helices, bulged β-strands, strained loops and buried polar groups--that arise in proteins from evolutionary selection for biological function or from neutral drift. Here we describe an approach to designing ideal protein structures stabilized by completely consistent local and non-local interactions. The approach is based on a set of rules relating secondary structure patterns to protein tertiary motifs, which make possible the design of funnel-shaped protein folding energy landscapes leading into the target folded state. Guided by these rules, we designed sequences predicted to fold into ideal protein structures consisting of α-helices, β-strands and minimal loops. Designs for five different topologies were found to be monomeric and very stable and to adopt structures in solution nearly identical to the computational models. These results illuminate how the folding funnels of natural proteins arise and provide the foundation for engineering a new generation of functional proteins free from natural evolution.
PubMed: 23135467
DOI: 10.1038/nature11600
PDB entries with the same primary citation
Experimental method
SOLUTION NMR
Structure validation

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数据于2024-11-06公开中

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