1KD8
X-RAY STRUCTURE OF THE COILED COIL GCN4 ACID BASE HETERODIMER ACID-d12Ia16V BASE-d12La16L
Summary for 1KD8
Entry DOI | 10.2210/pdb1kd8/pdb |
Related | 1KD9 1KDD |
Descriptor | GCN4 ACID BASE HETERODIMER ACID-d12Ia16V, GCN4 ACID BASE HETERODIMER BASE-d12La16L (3 entities in total) |
Functional Keywords | coiled coil heterodimer, de novo protein |
Total number of polymer chains | 6 |
Total formula weight | 24898.84 |
Authors | Keating, A.E.,Malashkevich, V.N.,Tidor, B.,Kim, P.S. (deposition date: 2001-11-12, release date: 2001-11-28, Last modification date: 2024-10-30) |
Primary citation | Keating, A.E.,Malashkevich, V.N.,Tidor, B.,Kim, P.S. Side-chain repacking calculations for predicting structures and stabilities of heterodimeric coiled coils. Proc.Natl.Acad.Sci.USA, 98:14825-14830, 2001 Cited by PubMed Abstract: An important goal in biology is to predict from sequence data the high-resolution structures of proteins and the interactions that occur between them. In this paper, we describe a computational approach that can make these types of predictions for a series of coiled-coil dimers. Our method comprises a dual strategy that augments extensive conformational sampling with molecular mechanics minimization. To test the performance of the method, we designed six heterodimeric coiled coils with a range of stabilities and solved x-ray crystal structures for three of them. The stabilities and structures predicted by the calculations agree very well with experimental data: the average error in unfolding free energies is <1 kcal/mol, and nonhydrogen atoms in the predicted structures superimpose onto the experimental structures with rms deviations <0.7 A. We have also tested the method on a series of homodimers derived from vitellogenin-binding protein. The predicted relative stabilities of the homodimers show excellent agreement with previously published experimental measurements. A critical step in our procedure is to use energy minimization to relax side-chain geometries initially selected from a rotamer library. Our results show that computational methods can predict interaction specificities that are in good agreement with experimental data. PubMed: 11752430DOI: 10.1073/pnas.261563398 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (1.9 Å) |
Structure validation
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