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  Computational protein design of ligand binding and catalysis

Feldmeier, K., & Höcker, B. (2013). Computational protein design of ligand binding and catalysis. Current Opinion in Chemical Biology, 17(6), 929-933. doi:10.1016/j.cbpa.2013.10.002.

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Feldmeier, K1, Author           
Höcker, B2, Author           
Affiliations:
1IMPRS From Molecules to Organisms, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3376131              
2Research Group Protein Design, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3384430              

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 Abstract: The vision of custom-made proteins by computation appears closer than ever. Computational methods have advanced rapidly in recent years and proteins have been designed to catalyze new reactions. A number of second-generation enzyme designs analyzed possible bottlenecks and started tackling emergent problems. Detailed experimental analysis combined with structure determination and molecular dynamics simulations as well as design optimization with directed evolution techniques have led to important insights. While ligand recognition seems to be particularly problematic, new approaches focus on this design aspect and promising improvements have been made.

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 Dates: 2013-12
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.cbpa.2013.10.002
PMID: 24466576
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Title: Current Opinion in Chemical Biology
  Other : Curr. Opin. Chem. Biol.
Source Genre: Journal
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Publ. Info: London : Elsevier Current Trends
Pages: - Volume / Issue: 17 (6) Sequence Number: - Start / End Page: 929 - 933 Identifier: ISSN: 1367-5931
CoNE: https://pure.mpg.de/cone/journals/resource/954925620166