Rhonald C. Lua
Baylor College of Medicine
31 Papers
102 Citations
Rhonald C. Lua is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Biology & Knot (unit). The author has an hindex of 19, co-authored 31 publications. Previous affiliations of Rhonald C. Lua include National Institute of Standards and Technology & University of Minnesota.
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Papers
Statistics of Knots, Geometry of Conformations, and Evolution of Proteins
TL;DR: It is shown that native conformations of proteins have statistically fewer knots than random compact loops, and that the local geometrical properties, such as the crumpled character of the conformations at a certain range of scales, are consistent with the rarity of knots.
Topologically driven swelling of a polymer loop
TL;DR: Gyration radii of trivially knotted loops were found to follow a power law similar to that of self-avoiding walks consistent with earlier theoretical predictions.
122
Practical applicability of the Jarzynski relation in statistical mechanics: a pedagogical example.
TL;DR: A simple model of an ideal gas under the piston is suggested to gain an insight into the workings of the Jarzynski identity connecting the average exponential of the work over the nonequilibrium trajectories with the equilibrium free energy.
Image-based finite element mesh construction for material microstructures
Andrew C. E. Reid,Stephen A. Langer,Rhonald C. Lua,Valerie R. Coffman,Seung-Ill Haan,R. Edwin García +5 more
TL;DR: A set of routines that modify and improve the quality of a 2D mesh and construct a close-to-automatic mesh generator that requires only a few inputs, such as the linear sizes of the largest and smallest features in the micrograph.
112
Separation of recombination and SOS response in Escherichia coli RecA suggests LexA interaction sites.
Anbu Karani Adikesavan,Panagiotis Katsonis,David C. Marciano,Rhonald C. Lua,Christophe Herman,Olivier Lichtarge +5 more
TL;DR: ET analysis identifies clusters of evolutionarily important surface amino acids involved in RecA functions and highlights distinct functional sites specific for recombination and DNA damage response induction, which have the potential to address the problem of evolution of antibiotic resistance at its root.