In this paper, we give an overview of the possibilities of combining multiple ECa measurements for interpreting vertical soil variability together with an example of the added information from simultaneously gathered MSa data.
KDO8PS were finally retained (MSA S2, Supporting Information).
KDO8PS (MSA S2, Supporting Information) were used in the calculation of the HMM profile.
One way we looked at the relevance of individual residues in the context of the three-dimensional structure of KDO8PSs was by computing a Hidden Markov Model (HMM) for the entire KDO8PS protein family (multiple sequence alignment MSA S1, Supporting Information).
Multiple sequence alignments (MSAs) of 348 sequences (175 metallo and 173 non-metallo KDO8PSs) were calculated independently with T-Coffee [93], Muscle [94], and Mafft [95] and then merged together with T-Coffee (MSA S1, Supporting Information).
MI: mutual information; MSA: multiple sequence alignment; PRDs: peptide recognition domains; PWM: position weight matrix; SCA: statistical coupling analysis; SDRs: specificity determining residues; UC: uncertainty coefficient.
Few attempts have been made to relate coevolving pairs in a MSA to biological information in order to shed light on the structural and functional reasons of such coevolution [ 2, 6, 7, 18, 19].
Information on the highly conserved residues identified for those CATH FunFams having MSAs with sufficient information content, is also available on the CATH-Gene3D website (Lees et al., 2014; Sillitoe et al., 2015).
STRIKE is not the first attempt to compare alternative MSAs using the information from a single sequence, and in this work we have extensively compared our approach with that developed in CAO, which is conceptually similar albeit more complex in its implementation.
Monthly, sometimes weekly, I am in touch with a researcher or a doctor -- anyone who might have new information on MSA or even Parkinson's Disease (a disease cousin to MSA).
This work suggests that, at least when applied in combination with other modeling methods, MSA can extract meaningful information from wild-type-only data sets.
