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Protein Organization01:24

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Structural-Based Modeling in Protein Engineering. A Must Do.

Sergi Roda1, Ana Robles-Martín1, Ruite Xiang1

  • 1Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.

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|June 9, 2021
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Summary
This summary is machine-generated.

Structural bioinformatics and molecular modeling accelerate enzyme engineering for biotechnological solutions like waste transformation and green chemistry. An early in silico phase and new automated techniques enhance development speed and success rates.

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Area of Science:

  • Biotechnology and Biochemistry
  • Computational Biology and Bioinformatics

Background:

  • Biotechnological solutions are crucial for future societal needs, including waste transformation, clean energy, and green chemistry.
  • Optimized enzymatic processes, achieved through enzyme engineering, are central to these biotechnological advancements.

Purpose of the Study:

  • To advocate for the integration of structural-based bioinformatics and molecular modeling in enzyme engineering.
  • To highlight the effectiveness of computational tools in predicting successful enzyme modifications.
  • To introduce and demonstrate a novel, automated technique for accelerating enzyme engineering.

Main Methods:

  • Utilized structural-based bioinformatics and molecular modeling tools.
  • Summarized recent experimental experiences with a high prediction/success ratio.
  • Demonstrated a new technique combining Rosetta and PELE for automated enzyme engineering.

Main Results:

  • Structural bioinformatics and molecular modeling show a high success ratio in guiding enzyme engineering.
  • An early in silico phase is recommended for enzyme engineering studies.
  • The combined Rosetta and PELE technique offers a faster and more automated approach.

Conclusions:

  • Computational tools, particularly structural bioinformatics and molecular modeling, are essential for advancing enzyme engineering.
  • Implementing an early in silico phase can significantly improve the efficiency and success of enzyme engineering projects.
  • The developed automated technique holds promise for broader application of enzyme engineering in biotechnology.