W
Walter Fontana
Researcher at Harvard University
Publications - 96
Citations - 13188
Walter Fontana is an academic researcher from Harvard University. The author has contributed to research in topics: Rule-based system & Population. The author has an hindex of 48, co-authored 92 publications receiving 12597 citations. Previous affiliations of Walter Fontana include Santa Fe Institute & International Institute for Applied Systems Analysis.
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Journal ArticleDOI
Fast folding and comparison of RNA secondary structures
Ivo L. Hofacker,Walter Fontana,Peter F. Stadler,Peter F. Stadler,L. S. Bonhoeffer,Manfred Tacker,Peter Schuster,Peter Schuster,Peter Schuster +8 more
TL;DR: The Vienna RNA package as mentioned in this paper is based on dynamic programming algorithms and aims at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and base pairing probabilities.
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From Sequences to Shapes and Back: A Case Study in RNA Secondary Structures
TL;DR: Using an algorithm for inverse folding, it is shown that sequences sharing the same structure are distributed randomly over sequence space, which means that finding a particular structure by mutation and selection is much simpler than expected.
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Perspective: Evolution and detection of genetic robustness.
J. Arjan G. M. de Visser,Joachim Hermisson,Günter P. Wagner,Lauren Ancel Meyers,Homayoun Bagheri-Chaichian,Jeffrey L. Blanchard,Lin Chao,James M. Cheverud,Santiago F. Elena,Walter Fontana,Greg Gibson,Thomas F. Hansen,David C. Krakauer,Richard C Lewontin,Charles Ofria,Sean H. Rice,George von Dassow,Andreas Wagner,Michael C. Whitlock +18 more
TL;DR: This work focuses on the first kind of robustness—genetic robustness)—and survey three growing avenues of research: measuring genetic robustness in nature and in the laboratory; understanding the evolution of genetic robusts; and exploring the implications of genetic resilientness for future evolution.
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Complete suboptimal folding of RNA and the stability of secondary structures.
TL;DR: It is shown that sequences whose ground state structure is thermodynamically well defined show a significant tendency to buffer single point mutations, which can have evolutionary implications, since selection pressure to improve the definition of ground states with biological function may result in increased neutrality.
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Smoothness within ruggedness: The role of neutrality in adaptation
TL;DR: RNA secondary structure folding algorithms predict the existence of connected networks of RNA sequences with identical structure, on which the success of phenotypic adaptation becomes much less sensitive to the initial conditions in genotype space.