The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Protein folding and de novo protein design for biotechnological applications
Open accessAbstract
In the post-genomic 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 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.
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Metadata
- Authors
- Khoury, G. A., Smadbeck, J., Kieslich, C. A., & Floudas, C. A.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 32
- Issue
- 2
- Pages
- 99-109
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W1973460506
- Cited by
- 161
- References
- 12
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- green
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