Critical assessment of methods of protein structure prediction (CASP)—Round XIII
University of California, Davis · SIB Swiss Institute of Bioinformatics · +7 more institutions
Abstract
CASP (critical assessment of structure prediction) assesses the state of the art in modeling protein structure from amino acid sequence. The most recent experiment (CASP13 held in 2018) saw dramatic progress in structure modeling without use of structural templates (historically "ab initio" modeling). Progress was driven by the successful application of deep learning techniques to predict inter-residue distances. In turn, these results drove dramatic improvements in three-dimensional structure accuracy: With the proviso that there are an adequate number of sequences known for the protein family, the new methods essentially solve the long-standing problem of predicting the fold topology of monomeric proteins.…
Citation impact
- FWCI
- 32.58
- Percentile
- 100%
- References
- 46
Authors
5- AKAndriy Kryshtafovych
University of California, Davis
- TSTorsten Schwede
SIB Swiss Institute of Bioinformatics, University of Basel
- MTMaya Topf
Institute of Structural and Molecular Biology, Birkbeck, University of London
- KFKrzysztof Fidelis
University of California, Davis
- JMJohn MoultCorresponding
Research Institute for Bioscience and Biotechnology, Advanced Bioscience Laboratories (United States), Institute for Bioscience and Biotechnology Research, University of Maryland, College Park
Topics & keywords
- CASP
- Protein structure prediction
- Template
- Computer science
- Protein structure
- Ab initio
- Structural biology
- Artificial intelligence