CoreAligner is a software for identifying the core structure of related genomes, which is defined as a set of sufficiently long segments in which gene orders are conserved among multiple genomes so that they are likely to have been inherited mainly through vertical transfer. Using a dynamic programming based algorithm, CoreAligner finds the order of pre-identified orthologous groups (OGs) that retains to the greatest possible extent the conserved gene orders.
RW (Random-Walk) is distance-dependent atomic potential for protein structure modeling and structure decoy recognition. It was derived from 1,383 high-resolution PDB structures using an ideal random-walk chain as the reference state. The RW potential has been extensively optimized and tested on a variety of protein structure decoy sets and demonstrates a significant power in protein structure recognition and a strong correlation with the RMSD of decoys to the native structures
STRUCTURE HARVESTER is a web-based program for collating results generated by the program STRUCTURE.The program provides a fast way to assess and visualize likelihood values across multiple values of K and hundreds of iterations for easier detection of the number of genetic groups that best fit the data. In addition, STRUCTURE HARVESTER will reformat data for use in downstream programs, such as CLUMPP.
RNAmountAlign is a novel algorithm for RNA sequence/structure pairwise alignment, that runs in O(n3) time and O(n2) space; moreover, our software returns a p-value (transformable to expect value E) based on Karlin-Altschul statistics as well as parameter fitting.
The Struct2Net program predicts protein-protein interactions (PPI) by integrating structure-based information with other functional annotations, e.g. GO, co-expression and co-localization etc. The structure-based protein interaction prediction is conducted using a protein threading server RAPTOR plus logistic regression.
MP-T is a sequence-structure alignment algorithm for membrane proteins. It produces accurate sequence alignments for use in homology modelling. The inputs are a fasta-formatted sequence and an annotated structure file from the iMembrane webserver.
PROPOSAL is a Gibbs sampling algorithm for multiple local alignment of 3D protein structures. PROPOSAL can produce biologically significant alignments in reasonable running time, even for large input instances.