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Ligand selectivity and competition between enzymes in silico

Article Abstract:

A study was conducted to examine the baiss of selectivity in recognition using standard docking calculations and significant improvement was found when proteins and ligands were cross-docked. It was found that cognate molecules rarely form the most stable complexes and that specificity could be driven either by recognition of the substrate by the enzyme or the recognition of the enzyme by the substrate.

Author: Macchiarulo, A., Nobeli, Irene
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2004
All Other Basic Inorganic Chemical Manufacturing, Industrial inorganic chemicals, not elsewhere classified, Silicon

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Improving catalytic function by ProSAR-driven enzyme evolution

Article Abstract:

A directed evolution approach can be used in generating enzymes that meet predefined process-design criteria. The protein sequence activity relationships (ProSAR)-driven strategy has produced enzymes with desired characteristics for commercial data and the recombination-based directed evolution has enabled the identification of beneficial mutations even in variants with reduced function.

Author: Fox, Richard J., Huisman, Gjalt W., Davis, S. Christopher, Mundorff, Emily C., Newman, Lisa M., Gavrilovic, Vesna, Ma, Steven K., Chung, Loleta M., Ching, Charlene, Tam, Sarena, Muley, Sheela, Grate, John, Gruber, John, Whitman, John C., Sheldon, Roger A.
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2007
Methods, Protein engineering, Molecular evolution

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A simple selection strategy for evolving highly efficient enzymes

Article Abstract:

Intracellular enzyme concentrations can be reduced from high to very low levels by combining tunable transcription with enzyme-degradation. The identification of mutants with wild-type activity is facilitated and numerous selection formats and cell-based screening methodologies benefit from the large dynamic range.

Author: Neuenschwander, Martin, Butz, Maren, Heintz, Caroline, Kast, Peter, Hilvert, Donald
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2007
United States, Genetic transcription, Transcription (Genetics), Mutation (Biology), Mutation

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Subjects list: Research, Enzymes
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