PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments

摘要

Results: PSICOV displays a mean precision substantially better than the best performing normalized mutual information approach and Bayesian networks. For 118 out of 150 targets, the L/5 (i.e. top-L/5 predictions for a protein of length L) precision for long-range contacts (sequence separation > 23) was >= 0.5, which represents an improvement sufficient to be of significant benefit in protein structure prediction or model quality assessment.