Sentence examples for minimum free folding from inspiring English sources

To investigate selection for folding strength, wild-type minimum free folding energy (MFE) values were compared with corresponding sequence-randomized controls which preserve certain nonrandom features of the naturally occurring sequences.

The number and strength of these bonds determine the minimum free folding energy (MFE), which is related to the folding strength of a structure: more negative MFE indicates possibly stronger and more stable folding, while less negative MFE corresponds to weaker and less structured conformations.

Local minimum free folding energy profiles.

Local minimum free folding energy profiles (MFE-profiles) were computed for each wild-type and randomized sequence.

Alifold infers secondary structures by considering both minimum free folding algorithms and compensatory base changes, and therefore includes additional information that provides hints for secondary structural motifs.

Minimum free folding energy (MFE) is a thermodynamic energy involved in maintaining a secondary structure available to perform physical work while being released, and thus is characterized by non-positive values.

The predicted minimum free-folding energy of the whole 5′UTR (ΔG) showed a significant but weaker relationship (P=3.6e 3; Figure 5b).

At the top the secondary structure drawing of the minimum free energy folding of the two molecules is shown.

Secondary structures of all presented sRNAs were determined by minimum free energy folding and RNA shape analysis [ 56] which achieved high shape probabilities (~90%) in all cases, respectively.

For this purpose, we used the online RNAalifold software (http://mobyle.pasteur.fr/cgi-bin/portal.py, with the MFE (minimum free energy) fold algorithm) that calculates consensus secondary structures for a set of aligned RNAs [66].

Recently several minimum free energy (MFE) folding algorithms for predicting the joint structure of two interacting RNA molecules have been proposed.