Work this year focused on an development of an improved scoring systems for local multiple alignment, informed by the minimum description length (MDL) principle. Most pairwise and multiple sequence alignment programs seek alignments with optimal scores. Central to defining such scores is selecting a set of substitution scores for aligned amino acids or nucleotides. Substitution scores for local pairwise alignment are implicitly of log-odds form, comparing the probabilities of aligning two letters under models of relatedness and non-relatedness, and the best pairwise substitution scores are explicitly so constructed. We have developed ideas, based on the MDL principle, for extending this formalism to multiple alignments. Most simply, Bayesian methods can be used to derive """"""""BILD"""""""" substitution scores from prior distributions describing columns of related letters. This approach has been used previously only to define scores for aligning individual sequences to sequence profiles, but it has much broader applicability. We have developed a method to calculate BILD scores efficiently, and have employed it in Gibbs sampling optimization procedures. We have shown that BILD scores yield improved performance in detecting related sequences and constructing biologically accurate alignments. A manuscript describing this work is near completion.

Project Start
Project End
Budget Start
Budget End
Support Year
18
Fiscal Year
2009
Total Cost
$156,641
Indirect Cost
Name
National Library of Medicine
Department
Type
DUNS #
City
State
Country
Zip Code
Neuwald, Andrew F; Aravind, L; Altschul, Stephen F (2018) Inferring joint sequence-structural determinants of protein functional specificity. Elife 7:
Neuwald, Andrew F; Altschul, Stephen F (2016) Inference of Functionally-Relevant N-acetyltransferase Residues Based on Statistical Correlations. PLoS Comput Biol 12:e1005294
Neuwald, Andrew F; Altschul, Stephen F (2016) Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties. PLoS Comput Biol 12:e1004936
Yu, Yi-Kuo; Capra, John A; Stojmirovi?, Aleksandar et al. (2015) Log-odds sequence logos. Bioinformatics 31:324-31
Nguyen, Viet-An; Boyd-Graber, Jordan; Altschul, Stephen F (2013) Dirichlet mixtures, the Dirichlet process, and the structure of protein space. J Comput Biol 20:1-18
Yu, Yi-Kuo; Altschul, Stephen F (2011) The complexity of the dirichlet model for multiple alignment data. J Comput Biol 18:925-39
Ye, Xugang; Yu, Yi-Kuo; Altschul, Stephen F (2011) On the inference of dirichlet mixture priors for protein sequence comparison. J Comput Biol 18:941-54
Ye, Xugang; Wang, Guoli; Altschul, Stephen F (2011) An assessment of substitution scores for protein profile-profile comparison. Bioinformatics 27:3356-63
Altschul, Stephen F; Wootton, John C; Zaslavsky, Elena et al. (2010) The construction and use of log-odds substitution scores for multiple sequence alignment. PLoS Comput Biol 6:e1000852
Ye, Xugang; Yu, Yi-Kuo; Altschul, Stephen F (2010) Compositional adjustment of Dirichlet mixture priors. J Comput Biol 17:1607-20