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...
| Publié dans: | Journal of computational chemistry. - 1984. - 23(2002), 2 vom: 30. Jan., Seite 245-66 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | |
| Format: | Article |
| Langue: | English |
| Publié: |
2002
|
| Accès à la collection: | Journal of computational chemistry |
| Sujets: | 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 plus... |