Abstract
As part of the third Critical Assessment of Structure Prediction meeting (CASP3), we predict the three-dimensional structures for 13 proteins using a hierarchical approach. First, all possible compact conformations of a protein sequence are enumerated using a highly simplified tetrahedral lattice model. We select a large subset of these conformations using a lattice-based scoring function and build detailed all-atom models incorporating predicted secondary structure. A combined all-atom knowledge-based scoring function is then used to select three smaller subsets from these all-atom models. Finally, a consensus-based distance geometry procedure is used to generate the best conformations from each of the all-atom subsets. With this method, we are able to predict the global topology/shape for all or a large part of the sequence for six out of the thirteen proteins. For two other proteins, the topology/shape for shorter fragments are predicted. This represents a marked improvement in ab initio prediction since CASP was first instigated in 1994.
| Original language | English |
|---|---|
| Pages (from-to) | 194-198 |
| Number of pages | 5 |
| Journal | Proteins: Structure, Function and Genetics |
| Volume | 37 |
| Issue number | SUPPL. 3 |
| DOIs | |
| State | Published - 1999 |
Keywords
- Discrete-state models
- Distance geometry
- Knowledge-based scoring functions
- Lattice models
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