TM-score is an algorithm to calculate the similarity of topologies of two protein structures. It can be exploited to quantitatively access the quality of protein structure predictions relative to native. Because TM-score weights the close matches stronger than the distant matches, TM-score is more sensitive than root-mean-square deviation (RMSD)
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
ModRefiner is an algorithm for atomic-level, high-resolution protein structure refinement, which can start from either C-alpha trace, main-chain model or full-atomic model. Both side-chain and backbone atoms are completely flexible during structure refinement simulations, where conformational search is guided by a composite of physics- and knowledge-based force field. ModRefiner has an option to allow for the assignment of a second structure which will be used as a reference to which the refinement simulations are driven. One aim of ModRefiner is to draw the initial starting models closer to their native state, in terms of hydrogen bonds, backbone topology and side-chain positioning. It also generates significant improvement in physical quality of local structures. The standalone program also supports ab initio full-atomic relaxation, where the refined model is not restrainted by the initial model or the reference model.
(PS)2 is an automated homology modeling server. The method uses an effective consensus strategy by combining PSI-BLAST, IMPALA, and T-Coffee in both template selection and target-template alignment. The final three dimensional structure is built using the modeling package MODELLER.
The Pcons.net Meta Server provides improved automated tools for protein structure prediction and analysis using consensus. It essentially implements all the steps necessary to produce a high quality model of a protein.