Evolutionarily conserved networks of residues mediate allosteric communication in proteins

By Gürol M. Süel, S. W. Lockless, M. Wall, Rama Ranganathan. 2003

412 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

Revealing evolutionary constraints on proteins through sequence analysis (2018, background): “mple model are robust to different forms of selection. Our Gaussian selection model amounts to selecting sequences according to the following Boltzmann distribution: P(~) = exp(w(~)) ~ exp(w(~)) ; (2) where the fitness w(~) of a sequence is given by w(~) = 2 (T(~) T 2) = 2 XL l=1 l( l) T ! 2 : (3)”
Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments (2010, background): “One proposed explanation that has received little attention in the contact prediction literature is that statistical dependencies between distal pairs can be induced by the percolation of statistical dependencies along chains of co-evolving contacts [23,24].”
Allostery and cooperativity revisited (2008, background): “We hope that this review of examples that have been studied in detail, as well as alternative approaches (Suel et al. 2003; Whitten et al. 2005), will aid in the search for the mechanisms of the ever-increasing number of allosteric proteins for which the necessary data are becoming available.”
Design of Elastic Networks with Evolutionary Optimized Long-Range Communication as Mechanical Models of Allosteric Proteins (2017, background): “[10] Suel GM, Lockless SW, Wall MA, Ranganathan R (2003) Evolutionarily conserved networks of residues mediate allosteric communication in proteins.”
Evolution-Based Functional Decomposition of Proteins (2015, positive): “However, the sparsity of the constraints between amino acids observed both statistically (6; 10) and experimentally (33–35) effectively reduces the dimensionality of the solution, enabling practical approaches.”
Direct coupling analysis of epistasis in allosteric materials (2018, positive): “Statistical Coupling Analysis [14,15] was applied to allostery detection in proteins.”