PubMed Health⌕ Search

PubMed · 10526348

RMS/coverage graphs: a qualitative method for comparing three-dimensional protein structure predictions.

Abstract

Evaluating a set of protein structure predictions is difficult as each prediction may omit different residues and different parts of the structure may have different accuracies. A method is described that captures the best results from a large number of alternative sequence-dependent structural superpositions between a prediction and the experimental structure and represents them as a single line on a graph. Applied to CASP2 and CASP3 data the best predictions stand out visually in most cases, as judged by manual inspection. The results from this method applied to CASP data are available from the URLs http:/(/)PredictionCenter. llnl.gov/casp3/results/th/ and http:/(/)www.sanger.ac.uk/ approximately th/casp/.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

T J Hubbard. 1999. RMS/coverage graphs: a qualitative method for comparing three-dimensional protein structure predictions.. https://doi.org/10.1002/(sici)1097-0134(1999)37%3A3%2B%3C15%3A%3Aaid-prot4%3E3.3.co%3B2-q

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PDBsum: summaries and analyses of PDB structures.

PDBsum is a web-based database providing a largely pictorial summary of the key information on each macromolecular structure deposited at the Protein Data Bank (PDB). It includes images of the structure, annotated plots of each protein chain's secondary structure, detailed structural analyses generated by the PROMOTIF program, summary PROCHECK results and schematic diagrams of protein-ligand and protein-DNA interactions. RasMol scripts highlight key aspects of the structure, such as the protein's domains, PROSITE patterns and protein-ligand interactions, for interactive viewing in 3D. Numerous links take the user to related sites. PDBsum is updated whenever any new structures are released by the PDB and is freely accessible via http://www.biochem.ucl.ac.uk/bsm/pdbsum.

Computer Graphics↗

Using densities of estimators to compare pharmacokinetic experiments.

Different designs of experiments are compared according to the shape, concentration, etc. of the densities of the least-squares estimator (conditional densities, marginal densities). In contrast with D'Argenio (J. Pharmacokinetics Biopharmaceutics 9(16) (1981) 739-756), where marginal densities have been obtained by simulations, we present here a faster procedure based on well-elaborated approximations of the densities. The stress is on the graphical presentation of the results.

Computer Graphics↗