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4j8t

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==Engineered Digoxigenin binder DIG10.2==
==Engineered Digoxigenin binder DIG10.2==
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<StructureSection load='4j8t' size='340' side='right' caption='[[4j8t]], [[Resolution|resolution]] 2.05&Aring;' scene=''>
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<StructureSection load='4j8t' size='340' side='right'caption='[[4j8t]], [[Resolution|resolution]] 2.05&Aring;' scene=''>
== Structural highlights ==
== Structural highlights ==
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<table><tr><td colspan='2'>[[4j8t]] is a 4 chain structure with sequence from [http://en.wikipedia.org/wiki/Pseudomonas_aeruginosa_pao1 Pseudomonas aeruginosa pao1]. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=4J8T OCA]. For a <b>guided tour on the structure components</b> use [http://oca.weizmann.ac.il/oca-docs/fgij/fg.htm?mol=4J8T FirstGlance]. <br>
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<table><tr><td colspan='2'>[[4j8t]] is a 4 chain structure with sequence from [https://en.wikipedia.org/wiki/Pseudomonas_aeruginosa_PAO1 Pseudomonas aeruginosa PAO1]. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=4J8T OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=4J8T FirstGlance]. <br>
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</td></tr><tr id='ligand'><td class="sblockLbl"><b>[[Ligand|Ligands:]]</b></td><td class="sblockDat"><scene name='pdbligand=DOG:DIGOXIGENIN'>DOG</scene></td></tr>
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</td></tr><tr id='method'><td class="sblockLbl"><b>[[Empirical_models|Method:]]</b></td><td class="sblockDat" id="methodDat">X-ray diffraction, [[Resolution|Resolution]] 2.05&#8491;</td></tr>
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<tr id='related'><td class="sblockLbl"><b>[[Related_structure|Related:]]</b></td><td class="sblockDat">[[4j9a|4j9a]]</td></tr>
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<tr id='ligand'><td class="sblockLbl"><b>[[Ligand|Ligands:]]</b></td><td class="sblockDat" id="ligandDat"><scene name='pdbligand=DOG:DIGOXIGENIN'>DOG</scene></td></tr>
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<tr id='gene'><td class="sblockLbl"><b>[[Gene|Gene:]]</b></td><td class="sblockDat">PA3332 ([http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&srchmode=5&id=208964 Pseudomonas aeruginosa PAO1])</td></tr>
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<tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[https://proteopedia.org/fgij/fg.htm?mol=4j8t FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=4j8t OCA], [https://pdbe.org/4j8t PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=4j8t RCSB], [https://www.ebi.ac.uk/pdbsum/4j8t PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=4j8t ProSAT]</span></td></tr>
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<tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[http://oca.weizmann.ac.il/oca-docs/fgij/fg.htm?mol=4j8t FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=4j8t OCA], [http://www.rcsb.org/pdb/explore.do?structureId=4j8t RCSB], [http://www.ebi.ac.uk/pdbsum/4j8t PDBsum]</span></td></tr>
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</table>
</table>
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<div style="background-color:#fffaf0;">
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== Function ==
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== Publication Abstract from PubMed ==
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[https://www.uniprot.org/uniprot/Y3332_PSEAE Y3332_PSEAE]
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The ability to design proteins with high affinity and selectivity for any given small molecule is a rigorous test of our understanding of the physiochemical principles that govern molecular recognition. Attempts to rationally design ligand-binding proteins have met with little success, however, and the computational design of protein-small-molecule interfaces remains an unsolved problem. Current approaches for designing ligand-binding proteins for medical and biotechnological uses rely on raising antibodies against a target antigen in immunized animals and/or performing laboratory-directed evolution of proteins with an existing low affinity for the desired ligand, neither of which allows complete control over the interactions involved in binding. Here we describe a general computational method for designing pre-organized and shape complementary small-molecule-binding sites, and use it to generate protein binders to the steroid digoxigenin (DIG). Of seventeen experimentally characterized designs, two bind DIG; the model of the higher affinity binder has the most energetically favourable and pre-organized interface in the design set. A comprehensive binding-fitness landscape of this design, generated by library selections and deep sequencing, was used to optimize its binding affinity to a picomolar level, and X-ray co-crystal structures of two variants show atomic-level agreement with the corresponding computational models. The optimized binder is selective for DIG over the related steroids digitoxigenin, progesterone and beta-oestradiol, and this steroid binding preference can be reprogrammed by manipulation of explicitly designed hydrogen-bonding interactions. The computational design method presented here should enable the development of a new generation of biosensors, therapeutics and diagnostics.
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Computational design of ligand-binding proteins with high affinity and selectivity.,Tinberg CE, Khare SD, Dou J, Doyle L, Nelson JW, Schena A, Jankowski W, Kalodimos CG, Johnsson K, Stoddard BL, Baker D Nature. 2013 Sep 12;501(7466):212-6. doi: 10.1038/nature12443. Epub 2013 Sep 4. PMID:24005320<ref>PMID:24005320</ref>
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From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>
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</div>
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== References ==
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<references/>
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__TOC__
__TOC__
</StructureSection>
</StructureSection>
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[[Category: Pseudomonas aeruginosa pao1]]
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[[Category: Large Structures]]
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[[Category: Doyle, L A]]
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[[Category: Pseudomonas aeruginosa PAO1]]
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[[Category: Stoddard, B L]]
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[[Category: Doyle LA]]
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[[Category: Computationally designed]]
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[[Category: Stoddard BL]]
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[[Category: Digoxigenin binding protein]]
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[[Category: Digoxigenin-binding]]
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[[Category: Engineered]]
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Current revision

Engineered Digoxigenin binder DIG10.2

PDB ID 4j8t

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