Sentence examples for multiple structural alignments from inspiring English sources

By recasting the problem of redundancy in multiple structural alignments into this framework, in which the matrix A now describes the multiple alignment, we adapted the QR factorization to produce a minimal basis set of protein structures which best spans the evolutionary (phase) space.

Regarding new functionality, the MUSTANG algorithm in general is being extended to handle non-linear (in the order of residues in the chain) multiple structural alignments and superpositions, which will automatically be merged into the server.

Pairwise and multiple structural alignments were done with DaliLite and MAMMOTH-Mult, respectively [ 28, 29].

It is furthermore of interest to use the homology information from multiple structural alignments of ncRNA candidates for interaction prediction.

The visual analysis of multiple structural alignments allowed us to identify that 1BEI, 1BGK, 1ROO, and 2K9E residues had structural similarities (RMSD ≤ 2.380 Å; Figure 4).

This paper reports a novel web server for "sieving" of protein structures, based on the multiple structural alignment program MUSTANG.

In this work we describe a novel web server for "sieving" of protein structures, based on the multiple structural alignment program MUSTANG.

We present a new algorithm, based on the multidimensional QR factorization, to remove redundancy from a multiple structural alignment by choosing representative protein structures that best preserve the phylogenetic tree topology of the homologous group.

This server calculates multiple structural alignment: A multiple 3D alignment compares several structures belonging to the same superfamily, which provides important biological insight such as conserved sites or conserved structural features.

The HPM carries out a multiple structural alignment of local folds from a non-redundant protein structure databank encoded into a structural alphabet composed of 16 protein blocks (PBs).

In addition, SECISaln returns a graphical image of the predicted structure of the user-submitted sequence as well as a multiple structural alignment of all SECIS elements of that type already present in the database.