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1.
Bioinformatics ; 20(2): 268-70, 2004 Jan 22.
Article in English | MEDLINE | ID: mdl-14734319

ABSTRACT

SUMMARY: The Helmholtz Network for Bioinformatics (HNB) is a joint venture of eleven German bioinformatics research groups that offers convenient access to numerous bioinformatics resources through a single web portal. The 'Guided Solution Finder' which is available through the HNB portal helps users to locate the appropriate resources to answer their queries by employing a detailed, tree-like questionnaire. Furthermore, automated complex tool cascades ('tasks'), involving resources located on different servers, have been implemented, allowing users to perform comprehensive data analyses without the requirement of further manual intervention for data transfer and re-formatting. Currently, automated cascades for the analysis of regulatory DNA segments as well as for the prediction of protein functional properties are provided. AVAILABILITY: The HNB portal is available at http://www.hnbioinfo.de


Subject(s)
Algorithms , Computational Biology/methods , Database Management Systems , Information Storage and Retrieval/methods , Internet , Sequence Analysis, DNA/methods , Sequence Analysis, Protein/methods , User-Computer Interface , Computational Biology/organization & administration , Germany , Interinstitutional Relations , Software
2.
Proteins ; 36(4): 542-55, 1999 Sep 01.
Article in English | MEDLINE | ID: mdl-10450095

ABSTRACT

The effect of motional averaging when relating structural properties inferred from nuclear magnetic resonance (NMR) experiments to molecular dynamics simulations of peptides is considered. In particular, the effect of changing populations of conformations, the extent of sampling, and the sampling frequency on the estimation of nuclear Overhauser effect (NOE) inter-proton distances, vicinal (3)J-coupling constants, and chemical shifts are investigated. The analysis is based on 50-ns simulations of a beta-heptapeptide in methanol at 298 K, 340 K, 350 K, and 360 K. This peptide undergoes reversible folding and samples a significant proportion of the available conformational space during the simulations, with at 298 K being predominantly folded and at 360 K being predominantly unfolded. The work highlights the fact that when motional averaging is included, NMR data has only limited capacity to distinguish between a single fully folded peptide conformation and various mixtures of folded and unfolded conformations. Proteins 1999;36:542-555.


Subject(s)
Computer Simulation , Nuclear Magnetic Resonance, Biomolecular/methods , Protein Conformation , Proteins/chemistry , Kinetics , Methanol , Models, Molecular , Peptides/chemistry , Peptides/metabolism , Protein Folding , Proteins/metabolism , Protons , Sample Size , Sensitivity and Specificity , Temperature , Thermodynamics
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