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Literature DB >> 1637750

PROBIT: a statistical approach to modeling proteins from partial coordinate data using substructure libraries.

Abstract

A program (PROBIT) has been developed that allows the reconstruction of a complete set of three-dimensional protein coordinates from alpha-carbon coordinates. The program generates a statistical measure of polypeptide conformational behavior for substructures in a defined structural context from a library of highly refined protein structures. These statistics provide a prescription for substructure substitution from the database to allow regeneration of the complete protein structure.

Entities: Chemical

Mesh：

Year: 1992 PMID： 1637750 DOI： 10.1016/0263-7855(92)80066-m

Source DB: PubMed Journal: J Mol Graph ISSN： 0263-7855

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Cited

9 in total

1. Some fundamental aspects of building protein structures from fragment libraries.

Authors: J Bradley Holmes; Jerry Tsai
Journal: Protein Sci Date: 2004-06 Impact factor: 6.725

2. A probabilistic and continuous model of protein conformational space for template-free modeling.

Authors: Feng Zhao; Jian Peng; Joe Debartolo; Karl F Freed; Tobin R Sosnick; Jinbo Xu
Journal: J Comput Biol Date: 2010-06 Impact factor: 1.479

3. Expression of de novo high-lysine alpha-helical coiled-coil proteins may significantly increase the accumulated levels of lysine in mature seeds of transgenic tobacco plants.

Authors: S J Keeler; C L Maloney; P Y Webber; C Patterson; L T Hirata; S C Falco; J A Rice
Journal: Plant Mol Biol Date: 1997-05 Impact factor: 4.076

PROBIT: a statistical approach to modeling proteins from partial coordinate data using substructure libraries.

1. Some fundamental aspects of building protein structures from fragment libraries.

2. A probabilistic and continuous model of protein conformational space for template-free modeling.

3. Expression of de novo high-lysine alpha-helical coiled-coil proteins may significantly increase the accumulated levels of lysine in mature seeds of transgenic tobacco plants.

4. Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles.

5. A Probabilistic Graphical Model for Ab Initio Folding.

6. Fragment-free approach to protein folding using conditional neural fields.

7. Discriminative learning for protein conformation sampling.

8. Designing succinct structural alphabets.

9. Reconstruction of protein backbones from the BriX collection of canonical protein fragments.