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Computational approaches for rational design of proteins with novel functionalities.

Manish Kumar Tiwari | Ranjitha Singh | Raushan Kumar Singh | In-Won Kim | Jung-Kul Lee
Computational and structural biotechnology journal | 2012

Proteins are the most multifaceted macromolecules in living systems and have various important functions, including structural, catalytic, sensory, and regulatory functions. Rational design of enzymes is a great challenge to our understanding of protein structure and physical chemistry and has numerous potential applications. Protein design algorithms have been applied to design or engineer proteins that fold, fold faster, catalyze, catalyze faster, signal, and adopt preferred conformational states. The field of de novo protein design, although only a few decades old, is beginning to produce exciting results. Developments in this field are already having a significant impact on biotechnology and chemical biology. The application of powerful computational methods for functional protein designing has recently succeeded at engineering target activities. Here, we review recently reported de novo functional proteins that were developed using various protein design approaches, including rational design, computational optimization, and selection from combinatorial libraries, highlighting recent advances and successes.

Pubmed ID: 24688643

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Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) (tool)

RRID:SCR_012820

Collection of structural data of biological macromolecules. Database of information about 3D structures of large biological molecules, including proteins and nucleic acids. Users can perform queries on data and analyze and visualize results.

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