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ISMB
1993
15 years 7 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
BMCBI
2006
112views more  BMCBI 2006»
15 years 6 months ago
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins
Background: We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure; relative solvent accessibility; contact density; backbo...
Davide Baù, Alberto J. M. Martin, Catherine...
BIOINFORMATICS
2011
15 years 24 days ago
All-atom knowledge-based potential for RNA structure prediction and assessment
Motivation: Over the recent years, the vision that RNA simply serves as information transfer molecule has dramatically changed. The study of the sequence/structure/function relati...
Emidio Capriotti, Tomás Norambuena, Marc A....
RECOMB
1998
Springer
15 years 10 months ago
The hierarchical organization of molecular structure computations
The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...
Cheng Che Chen, Jaswinder Pal Singh, Russ B. Altma...
BMCBI
2007
142views more  BMCBI 2007»
15 years 6 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...