Then we developed MSACompro, a new multiple sequence alignment method, which effectively utilizes predicted secondary structure, relative solvent accessibility, and residue-residue contact map together with posterior alignment probabilities produced by both pair hidden Markov models and partition function as in MSAProbs [4].