Volume 13 Supplement 1
Selected articles from the Computational Structural Bioinformatics Workshop 2012
Research
Edited by Jing He, Amarda Shehu, Nurit Haspel and Brian Chen
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.
Computational Structural Bioinformatics Workshop 2012.
Philadelphia, PA, USA4 October 2012
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Citation: BMC Structural Biology 2013 13(Suppl 1):I1
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Four-body atomic potential for modeling protein-ligand binding affinity: application to enzyme-inhibitor binding energy prediction
Models that are capable of reliably predicting binding affinities for protein-ligand complexes play an important role the field of structure-guided drug design.
Citation: BMC Structural Biology 2013 13(Suppl 1):S1 -
Modeling protein conformational transitions by a combination of coarse-grained normal mode analysis and robotics-inspired methods
Obtaining atomic-scale information about large-amplitude conformational transitions in proteins is a challenging problem for both experimental and computational methods. Such information is, however, important...
Citation: BMC Structural Biology 2013 13(Suppl 1):S2 -
Enhancement of accuracy and efficiency for RNA secondary structure prediction by sequence segmentation and MapReduce
Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. Their secondary structures are crucial for the RNA functionality, and the prediction...
Citation: BMC Structural Biology 2013 13(Suppl 1):S3 -
A population-based evolutionary search approach to the multiple minima problem in de novo protein structure prediction
Elucidating the native structure of a protein molecule from its sequence of amino acids, a problem known as de novo structure prediction, is a long standing challenge in computational structural biology. Diffi...
Citation: BMC Structural Biology 2013 13(Suppl 1):S4 -
Estimating loop length from CryoEM images at medium resolutions
De novo protein modeling approaches utilize 3-dimensional (3D) images derived from electron cryomicroscopy (CryoEM) experiments. The skeleton connecting two secondary structures such as α-helices represent the lo...
Citation: BMC Structural Biology 2013 13(Suppl 1):S5 -
A conservation and rigidity based method for detecting critical protein residues
Certain amino acids in proteins play a critical role in determining their structural stability and function. Examples include flexible regions such as hinges which allow domain motion, and highly conserved res...
Citation: BMC Structural Biology 2013 13(Suppl 1):S6 -
A conservation and biophysics guided stochastic approach to refining docked multimeric proteins
We introduce a protein docking refinement method that accepts complexes consisting of any number of monomeric units. The method uses a scoring function based on a tight coupling between evolutionary conservati...
Citation: BMC Structural Biology 2013 13(Suppl 1):S7 -
Elucidating the ensemble of functionally-relevant transitions in protein systems with a robotics-inspired method
Many proteins tune their biological function by transitioning between different functional states, effectively acting as dynamic molecular machines. Detailed structural characterization of transition trajector...
Citation: BMC Structural Biology 2013 13(Suppl 1):S8 -
Unbiased, scalable sampling of protein loop conformations from probabilistic priors
Protein loops are flexible structures that are intimately tied to function, but understanding loop motion and generating loop conformation ensembles remain significant computational challenges. Discrete search...
Citation: BMC Structural Biology 2013 13(Suppl 1):S9 -
An aggregate analysis of many predicted structures to reduce errors in protein structure comparison caused by conformational flexibility
Conformational flexibility creates errors in the comparison of protein structures. Even small changes in backbone or sidechain conformation can radically alter the shape of ligand binding cavities. These chang...
Citation: BMC Structural Biology 2013 13(Suppl 1):S10 -
DINC: A new AutoDock-based protocol for docking large ligands
Using the popular program AutoDock, computer-aided docking of small ligands with 6 or fewer rotatable bonds, is reasonably fast and accurate. However, docking large ligands using AutoDock's recommended standar...
Citation: BMC Structural Biology 2013 13(Suppl 1):S11