Downloads provided by UsageCounts
Abstract Motivation: Comparative modelling is a computational method used to tackle a variety of problems in molecular biology and biotechnology. Traditionally it has been applied to model the structure of proteins on their own or bound to small ligands, although more recently it has also been used to model protein-protein interfaces. This work is the first to systematically analyze whether comparative models of protein-DNA complexes could be built and be useful for predicting DNA binding sites. Results: First, we describe the structural and evolutionary conservation of protein-DNA interfaces, and the limits they impose on modelling accuracy. Second, we find that side-chains from contacting residues can be reasonably modeled and therefore used to identify contacting nucleotides. Third, the DNASITE protocol is implemented and different parameters are benchmarked on a set of 85 regulators from Escherichia coli. Results show that comparative footprinting can make useful predictions based solely on structural data, depending primarily on the interface identity with respect to the template used. Availability: DNASITE code available on request from the authors Contact: contrera@ccg.unam.mx Supplementary information:
Models, Molecular, Binding Sites, Protein, Binding sites, Sequence analysis, Sequence Homology, DNA, Sequence Analysis, DNA, Computer simulation, Protein footprinting, DNA-Binding Proteins, Models, Chemical, Sequence Analysis, Protein, Escherichia coli, Protein binding, Computer Simulation, Protein Footprinting, Algorithms, Protein Binding
Models, Molecular, Binding Sites, Protein, Binding sites, Sequence analysis, Sequence Homology, DNA, Sequence Analysis, DNA, Computer simulation, Protein footprinting, DNA-Binding Proteins, Models, Chemical, Sequence Analysis, Protein, Escherichia coli, Protein binding, Computer Simulation, Protein Footprinting, Algorithms, Protein Binding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 31 | |
| downloads | 50 |

Views provided by UsageCounts
Downloads provided by UsageCounts