Fitness landscapes have proven to be a valuable concept in evolutionary biology,
combinatorial optimization, and the physics of disordered systems. A fitness landscape is a …

The folding of RNA sequences into secondary structures is a simple yet biophysically
grounded model of a genotype–phenotype map. Its computational and mathematical …

RNA folding from sequences into secondary structures is a simple yet powerful,
biophysically grounded model of a genotype–phenotype map in which concepts like …

We show that the problem of designing RNA sequences that can fold into multiple stable
secondary structures can be transformed into a combinatorial optimization problem that can …

The secondary structures of nucleic acids form a particularly important class of contact
structures. Many important RNA molecules, however, contain pseudo-knots, a structural …

RNA secondary structures are derived from RNA sequences, which are strings built form the
natural four letter nucleotide alphabet,{AUGC}. These coarse-grained structures, in turn, are …

Computer science and physics have been closely linked since the birth of modern
computing. In recent years, an interdisciplinary area has blossomed at the junction of these …

Algorithms predicting RNA secondary structures based on different folding criteria–minimum
free energies (mfe), kinetic folding (kin), maximum matching (mm)–and different parameter …

In many cases fitness landscapes are obtained as particular instances of random fields by
randomly assigning a large number of parameters. Models of this type are often …

Genetic algorithms instruct sophisticated biological organization. Three qualitative kinds of
sequence complexity exist: random (RSC), ordered (OSC), and functional (FSC). FSC alone …