1kdd
From Proteopedia
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- | [[Image:1kdd.jpg|left|200px]]<br /><applet load="1kdd" size="350" color="white" frame="true" align="right" spinBox="true" | ||
- | caption="1kdd, resolution 2.14Å" /> | ||
- | '''X-ray structure of the coiled coil GCN4 ACID BASE HETERODIMER ACID-d12La16I BASE-d12La16L'''<br /> | ||
- | == | + | ==X-ray structure of the coiled coil GCN4 ACID BASE HETERODIMER ACID-d12La16I BASE-d12La16L== |
+ | <StructureSection load='1kdd' size='340' side='right'caption='[[1kdd]], [[Resolution|resolution]] 2.14Å' scene=''> | ||
+ | == Structural highlights == | ||
+ | <table><tr><td colspan='2'>[[1kdd]] is a 6 chain structure. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=1KDD OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=1KDD FirstGlance]. <br> | ||
+ | </td></tr><tr id='method'><td class="sblockLbl"><b>[[Empirical_models|Method:]]</b></td><td class="sblockDat" id="methodDat">X-ray diffraction, [[Resolution|Resolution]] 2.14Å</td></tr> | ||
+ | <tr id='ligand'><td class="sblockLbl"><b>[[Ligand|Ligands:]]</b></td><td class="sblockDat" id="ligandDat"><scene name='pdbligand=ACE:ACETYL+GROUP'>ACE</scene></td></tr> | ||
+ | <tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[https://proteopedia.org/fgij/fg.htm?mol=1kdd FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=1kdd OCA], [https://pdbe.org/1kdd PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=1kdd RCSB], [https://www.ebi.ac.uk/pdbsum/1kdd PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=1kdd ProSAT]</span></td></tr> | ||
+ | </table> | ||
+ | <div style="background-color:#fffaf0;"> | ||
+ | == Publication Abstract from PubMed == | ||
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. | 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. | ||
- | + | Side-chain repacking calculations for predicting structures and stabilities of heterodimeric coiled coils.,Keating AE, Malashkevich VN, Tidor B, Kim PS Proc Natl Acad Sci U S A. 2001 Dec 18;98(26):14825-30. PMID:11752430<ref>PMID:11752430</ref> | |
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- | + | From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.<br> | |
- | + | </div> | |
- | + | <div class="pdbe-citations 1kdd" style="background-color:#fffaf0;"></div> | |
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- | + | ==See Also== | |
+ | *[[Gcn4 3D Structures|Gcn4 3D Structures]] | ||
+ | *[[Gnc4 3D Structures|Gnc4 3D Structures]] | ||
+ | == References == | ||
+ | <references/> | ||
+ | __TOC__ | ||
+ | </StructureSection> | ||
+ | [[Category: Large Structures]] | ||
+ | [[Category: Keating AE]] | ||
+ | [[Category: Kim PS]] | ||
+ | [[Category: Malashkevich VN]] | ||
+ | [[Category: Tidor B]] |
Current revision
X-ray structure of the coiled coil GCN4 ACID BASE HETERODIMER ACID-d12La16I BASE-d12La16L
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