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Paul J. Choi

Publications and source records attributed to Paul J. Choi.

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Information and Protein Interfaces

To confer high specificity and affinity in binding, contacts at interfaces between two interacting macromolecules are expected to exhibit pair preferences for types of atoms or residues. Here we quantify these preferences by measuring the mutual information of contacts for 895 protein-protein interfaces. The information content is significant and is highest at the atomic resolution. A simple phenomenological theory reveals a connection between information at interfaces and the free energy spectrum of association. The connection is presented in the form of a relation between mutual information and the energy gap of the native bound state to off-target bound states. Measurement of information content in designed lattice interfaces show the predicted scaling behavior to the energy gap. Our theory also suggests that mutual information in contacts emerges by a selection mechanism, and that strong selection, or high conservation, of residues should lead to correspondingly high mutual information. Amino acids which contribute more heavily to information content are then expected to be more conserved. We verify this by showing a statistically significant correlation between the conservation of each of the twenty amino acids and their individual contribution to the information content at protein-protein interfaces

q-bio.BM

Entropic stabilization of proteins and its proteomic consequences

We report here a new entropic mechanism of protein thermostability due to residual dynamics of rotamer isomerization in native state. All-atom simulations show that Lysines have much greater number of accessible rotamers than Arginines in folded states of proteins. This finding suggests that Lysines would preferentially entropically stabilize the native state. Indeed we show in computational experiments that Arginine-to-Lysine amino acid substitutions result in noticeable stabilization of proteins. We then hypothesize that if evolution uses this physical mechanisms in its strategies of thermophilic adaptation then hyperthermostable organisms would have much greater content of Lysines in their proteomes than of comparable in size and similarly charged Arginines.. Consistent with that, high-throughput comparative analysis of complete proteomes shows extremely strong bias towards Arginine-to-Lysine replacement in hyperthermophilic organisms and overall much greater content of Lysines than Arginines in hyperthermophiles. This finding cannot be explained by GC compositional biases. Our study provides an example of how analysis of a delicate physical mechanism of thermostability helps to resolve a puzzle in comparative genomics as to why aminoacid compositions of hyperthermophilic proteomes are significantly biased towards Lysines but not Arginines

q-bio.BM