Ab initio prediction of helical segments in polypeptides
An ab initio method has been developed to predict helix formation for polypeptides. The approach relies on the systematic analysis of overlapping oligopeptides to determine the helical propensity for individual residues. Detailed atomistic level modeling, including entropic contributions, and solvat...
| Veröffentlicht in: | Journal of computational chemistry. - 1984. - 23(2002), 2 vom: 30. Jan., Seite 245-66 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2002
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| Zugriff auf das übergeordnete Werk: | Journal of computational chemistry |
| Schlagworte: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. DNA-Binding Proteins G-substrate Nerve Tissue Proteins Peptides Plant Proteins Repressor Proteins Viral Proteins mehr... |
| Zusammenfassung: | An ab initio method has been developed to predict helix formation for polypeptides. The approach relies on the systematic analysis of overlapping oligopeptides to determine the helical propensity for individual residues. Detailed atomistic level modeling, including entropic contributions, and solvation/ionization energies calculated through the solution of the Poisson-Boltzmann equation, is utilized. The calculation of probabilities for helix formation is based on the generation of ensembles of low energy conformers. The approach, which is easily amenable to parallelization, is shown to perform very well for several benchmark polypeptide systems, including the bovine pancreatic trypsin inhibitor, the immunoglobulin binding domain of protein G, the chymotrypsin inhibitor 2, the R69 N-terminal domain of phage 434 repressor, and the wheat germ agglutinin |
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| Beschreibung: | Date Completed 17.07.2003 Date Revised 14.08.2008 published: Print Citation Status MEDLINE |
| ISSN: | 1096-987X |