Protein folding and de novo protein design for biotechnological applications

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• 作者：George A. Khoury ; James Smadbeck ; Chris A. Kieslich ; Christodoulos A. Floudas
• 关键词：protein structure prediction ; de novo protein design ; computational biology ; biotechnology
• 刊名：Trends in Biotechnology
• 出版年：February, 2014
• 年：2014
• 卷：32
• 期：2
• 页码：99-109
• 全文大小：1955 K

文摘

In the postgenomic era, the medical/biological fields are advancing faster than ever. However, before the power of full-genome sequencing can be fully realized, the connection between amino acid sequence and protein structure, known as the protein folding problem, needs to be elucidated. The protein folding problem remains elusive, with significant difficulties still arising when modeling amino acid sequences lacking an identifiable template. Understanding protein folding will allow for unforeseen advances in protein design; often referred to as the inverse protein folding problem. Despite challenges in protein folding, de novo protein design has recently demonstrated significant success via computational techniques. We review advances and challenges in protein structure prediction and de novo protein design, and highlight their interplay in successful biotechnological applications.