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20102022
most citedProtein folding and binding can emerge as evolutionary spandrels through structural coupling

77 citations · 298 across the 18 of their papers we have counts for

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6 papers · 1 filter

q-bio.PE2018★ 54 cited

Growth tradeoffs produce complex microbial communities on a single limiting resource

Michael Manhart, Eugene I. Shakhnovich

The relationship between the dynamics of a community and its constituent pairwise interactions is a fundamental problem in ecology. Higher-order ecological effects beyond pairwise…

q-bio.PE2014★ 4 cited

Scaling properties of evolutionary paths in a biophysical model of protein adaptation

Michael Manhart, Alexandre V. Morozov

The enormous size and complexity of genotypic sequence space frequently requires consideration of coarse-grained sequences in empirical models. We develop scaling relations to quan…

q-bio.PE2014★ 77 cited

Protein folding and binding can emerge as evolutionary spandrels through structural coupling

Michael Manhart, Alexandre V. Morozov

Binding interactions between proteins and other molecules mediate numerous cellular processes, including metabolism, signaling, and regulation of gene expression. These interaction…

q-bio.PE2013★ 50 cited

Biophysical Fitness Landscapes for Transcription Factor Binding Sites

Allan Haldane, Michael Manhart, Alexandre V. Morozov

Evolutionary trajectories and phenotypic states available to cell populations are ultimately dictated by intermolecular interactions between DNA, RNA, proteins, and other molecular…

q-bio.PE2013★ 13 cited

Statistical Physics of Evolutionary Trajectories on Fitness Landscapes

Michael Manhart, Alexandre V. Morozov

Random walks on multidimensional nonlinear landscapes are of interest in many areas of science and engineering. In particular, properties of adaptive trajectories on fitness landsc…

q-bio.PE2013★ 19 cited

A path-based approach to random walks on networks characterizes how proteins evolve new function

Michael Manhart, Alexandre V. Morozov

We develop a path-based approach to continuous-time random walks on networks with arbitrarily weighted edges. We describe an efficient numerical algorithm for calculating statistic…