Sequence comparison and protein structure prediction.

By Roland L. Dunbrack. 2006

177 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

In Molecular Biology

Citations in the corpus

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences (2019, background): “Figure 2b visualizes the projected representations of four orthologous groups across four species.”
Toward the estimation of the absolute quality of individual protein structure models (2010, background): “Most current scoring functions are primarily designed to rank alternative models of the same sequence supporting model selection, whereas the prediction of the absolute quality of an individual protein model has received little attention in the field.”
New design strategies for antidepressant drugs (2013, background): “In the absence of an experimentally determined structure, a comparative model can provide not only a starting point for experimentally validated research, but an evolving representation of the target [98,99].”
SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model (2008, background): “Recent progress in sequence alignment and structure prediction has suggested the importance of variable gap penalties in protein sequence alignment [51].”
Protein sequence comparison and fold recognition: progress and good-practice benchmarking. (2011, methodology): “This review summarizes progress in sequence searching and pairwise alignment during the last 2-3 years (see [8, 9] for earlier reviews).”
Protein structure modeling with MODELLER. (2014, methodology): “Improving the performance and accuracy of methods in this regime remains one of the main tasks of comparative modeling(48,49).”
Protein structure homology modeling using SWISS-MODEL workspace (2008, methodology): “The development of algorithms for sequence comparison and alignment is a major topic of study in bioinformatics, and the advancements in this field have been comprehensively reviewed in ref”
Matt: Local Flexibility Aids Protein Multiple Structure Alignment (2008, background): “chain retains the topology of its folding pattern (see [4] for a recent survey).”
Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal (2012, methodology): “Multiple sequence alignment algorithms and PSSM or HHM based profile-profile methods (86) will generate the reasonable alignments.”