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Structural Characterization of SARS-CoV-2 ORF10 via AlphaFold2: Binding Pockets and Conserved Functional Motifs

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DataCite Commons2025-04-09 更新2025-05-07 收录
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https://figshare.com/articles/dataset/Structural_Characterization_of_SARS-CoV-2_ORF10_via_AlphaFold2_Binding_Pockets_and_Conserved_Functional_Motifs/28765568
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In this study, I present a detailed computational analysis of the <b>SARS-CoV-2 ORF10 protein</b>, combining <b>AlphaFold2-predicted structure</b>, <b>binding site characterization</b>, and <b>evolutionary conservation</b> to elucidate its functional potential. Key findings include:<b>1. Structural Prediction &amp; Quality Assessment</b><b>High-confidence PDB model</b> (<code>ORF10PREDICTIONTHB_..._alphafold2_ptm_model_1_seed_000.pdb</code>) with per-residue confidence (pLDDT &gt;90%) and validation plots (<code>plddt.png</code>, <code>pae.png</code>).<b>Two prominent binding pockets (P_0 and P_1)</b>: Comparative metrics (volume, depth, residue types) provided in <code>detailed_comparison_of_p0_and_p1.csv</code>.<b>2. Binding Site Analysis</b><b>10 surface clefts/cavities</b> ranked by volume (largest: 280.97 ų), annotated with:<b>Accessibility</b> (e.g., Gap 1: 49.48% exposed vertices) and <b>depth</b> (e.g., Gap 3: 6.90 Šaverage depth).<b>Residue conservation</b>: Highly conserved gaps (e.g., Gap 1, Gap 9) suggest functional importance.<b>Ligand interactions</b>: Non-empty ligand entries highlight potential molecular binding roles.<b>3. Evolutionary Conservation</b><b>BLAST (UniProt)</b>: 100% identity with ORF10 from <i>Betacoronavirus sp. RpYN06</i> (38-residue overlap; E-value: 9e-17), confirming high conservation across SARS-related strains.<b>Conserved motif (cd21597)</b>: Identified via InterPro, implicating ORF10 in viral processes (e.g., protein-protein interactions or immune modulation).<b>4. Functional Implications</b>Larger, deeper, and conserved gaps (e.g., Gap 1, P_0/P_1) are prime candidates for <b>therapeutic targeting</b>.Conserved motif and sequence similarity suggest a <b>shared functional role</b> in viral pathogenesis among coronaviruses.<b>Methods</b><b>Structure Prediction</b>: AlphaFold2 (ColabFold) with pLDDT/PAE validation.<b>Binding Site Detection</b>: Cleft/cavity analysis for volume, depth, residue properties.<b>Evolutionary Analysis</b>: BLAST (UniProt), InterPro motif scanning.<b>Files Included</b><b>PDB</b>: AlphaFold2-predicted ORF10 structure.<b>CSV</b>: Binding pocket comparisons (P_0/P_1) and gap region metrics.<b>Plots</b>: Model quality (pLDDT, PAE, coverage).<b>Supplementary</b>: BLAST/InterPro results in text format.
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2025-04-09
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