Cargando…
Statistical investigations of protein residue direct couplings
Protein Direct Coupling Analysis (DCA), which predicts residue-residue contacts based on covarying positions within a multiple sequence alignment, has been remarkably effective. This suggests that there is more to learn from sequence correlations than is generally assumed, and calls for deeper inves...
Autores principales: | Neuwald, Andrew F., Altschul, Stephen F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329532/ https://www.ncbi.nlm.nih.gov/pubmed/30596639 http://dx.doi.org/10.1371/journal.pcbi.1006237 |
Ejemplares similares
-
Inference of Functionally-Relevant N-acetyltransferase Residues Based on Statistical Correlations
por: Neuwald, Andrew F., et al.
Publicado: (2016) -
eCOMPASS: evaluative comparison of multiple protein alignments by statistical score
por: Neuwald, Andrew F, et al.
Publicado: (2021) -
Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties
por: Neuwald, Andrew F., et al.
Publicado: (2016) -
Deep Analysis of Residue Constraints (DARC): identifying determinants of protein functional specificity
por: Tondnevis, Farzaneh, et al.
Publicado: (2020) -
Initial Cluster Analysis
por: Altschul, Stephen F., et al.
Publicado: (2018)