The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
Open accessAbstract
Significance: We develop an improved method for predicting residue–residue contacts in protein structures that achieves higher accuracy than previous methods by integrating structural context and sequence coevolution information. We then determine the conditions under which these predicted contacts are likely to be useful for structure modeling and identify more than 400 protein families where these conditions are currently met.
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Learning generative models for protein fold families
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Self-citationGraphical Models of Residue Coupling in Protein Families
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Cited by
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization
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Self-citationMacromolecular modeling and design in Rosetta: recent methods and frameworks
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Self-citationAccurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Wang, S., Sun, S., Li, Z., Zhang, R., & Xu, J. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005324 · Cited by 931
Mutation effects predicted from sequence co-variation
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Metadata
- Authors
- Kamisetty, H., Ovchinnikov, S., & Baker, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-09-05
- Volume
- 110
- Issue
- 39
- Pages
- 15674-15679
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2013425283
- Cited by
- 672
- References
- 4
- FWCI
- 17.48
- Type
- journal article
- Language
- en
- Update notices
- correction (2013-10-25)
- Open access
- bronze
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- Kamisetty, H., Ovchinnikov, S., & Baker, D. (2013). Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1314045110
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