8xyt: Difference between revisions
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==De novo designed protein GPX4-4== | |||
<StructureSection load='8xyt' size='340' side='right'caption='[[8xyt]], [[Resolution|resolution]] 2.10Å' scene=''> | |||
== Structural highlights == | |||
<table><tr><td colspan='2'>[[8xyt]] is a 4 chain structure with sequence from [https://en.wikipedia.org/wiki/Synthetic_construct Synthetic construct]. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=8XYT OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=8XYT 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]] 2.1Å</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=8xyt FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=8xyt OCA], [https://pdbe.org/8xyt PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=8xyt RCSB], [https://www.ebi.ac.uk/pdbsum/8xyt PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=8xyt ProSAT]</span></td></tr> | |||
</table> | |||
<div style="background-color:#fffaf0;"> | |||
== Publication Abstract from PubMed == | |||
Designing sequences for specific protein backbones is a key step in creating new functional proteins. Here, we introduce GeoSeqBuilder, a deep learning framework that integrates protein sequence generation with side chain conformation prediction to produce the complete all-atom structures for designed sequences. GeoSeqBuilder uses spatial geometric features from protein backbones and explicitly includes three-body interactions of neighboring residues. GeoSeqBuilder achieves native residue type recovery rate of 51.6%, comparable to ProteinMPNN and other leading methods, while accurately predicting side chain conformations. We first used GeoSeqBuilder to design sequences for thioredoxin and a hallucinated three-helical bundle protein. All the 15 tested sequences expressed as soluble monomeric proteins with high thermal stability, and the 2 high-resolution crystal structures solved closely match the designed models. The generated protein sequences exhibit low similarity (minimum 23%) to the original sequences, with significantly altered hydrophobic cores. We further redesigned the hydrophobic core of glutathione peroxidase 4, and 3 of the 5 designs showed improved enzyme activity. Although further testing is needed, the high experimental success rate in our testing demonstrates that GeoSeqBuilder is a powerful tool for designing novel sequences for predefined protein structures with atomic details. GeoSeqBuilder is available at https://github.com/PKUliujl/GeoSeqBuilder. | |||
All-Atom Protein Sequence Design Based on Geometric Deep Learning.,Liu J, Guo Z, You H, Zhang C, Lai L Angew Chem Int Ed Engl. 2024 Sep 19:e202411461. doi: 10.1002/anie.202411461. PMID:39295564<ref>PMID:39295564</ref> | |||
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.<br> | |||
[[Category: | </div> | ||
[[Category: | <div class="pdbe-citations 8xyt" style="background-color:#fffaf0;"></div> | ||
[[Category: Guo | == References == | ||
[[Category: Liu | <references/> | ||
__TOC__ | |||
</StructureSection> | |||
[[Category: Large Structures]] | |||
[[Category: Synthetic construct]] | |||
[[Category: Guo Z]] | |||
[[Category: Lai LH]] | |||
[[Category: Liu JL]] | |||
