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. 2022 May 30;25(7):104496. doi: 10.1016/j.isci.2022.104496

Table 1.

AlphaFold2 predictive modeling on the cryoEM challenge data sets

EMDB/PDB ID (resolution) Length (aa) Molprobity score Clash score Ramachandran outliers (%) Rotamer outliers (%) Map/model CC pLDDT TM-score RMSD (Å)
EMD 0406/6NBB (2.9 Å) 375 1.88 15.03 0.54 0.97 0.7825 96.77 0.7754 3.790 (374)
EMD 2677/5A63 (4.5 Å)
 A 709 2.22 19.81 2.40 0.65 0.8013 90.96 0.9795 1.581 (665)
 B 467 3.56 52.33 16.99 5.88 0.5760 66.51 0.9472 1.420 (215)
 C 265 1.87 17.59 1.14 0.93 0.7714 93.06 0.9753 0.985 (243)
 D 101 1.94 25.78 0.00 1.12 0.8004 93.12 0.9417 1.059 (100)
EMD 2842/4UDV (3.3 Å) 159 2.47 15.83 3.82 2.16 0.6328 88.55 0.5901 3.935 (153)
EMD 2847/5AFI (2.9 Å) 201 1.77 18.94 0.50 0.0 0.5792 93.41 0.9420 1.364 (201)
 E 177 1.80 20.28 0.0 0.72 0.7169 91.34 0.6339 3.801 (176)
 G 142 1.91 24.46 0.0 0.86 0.7076 93.62 0.9687 0.945 (142)
 J d< 206 1.71 16.03 0.0 0.0 0.6944 92.32 0.6757 3.752 (205)
 g 179 2.68 16.06 6.78 3.40 0.6235 92.16 0.6108 3.852 (151)
 o 89 1.48 8.87 0.0 0.0 0.687 92.80 0.4674 3.818 (88)
EMD 5623/3J9I (3.3 Å) 233 1.62 12.83 0.43 0.0 0.8474 94.32 0.9694 1.076 (224)
EMD 5778/3J5P (3.275 Å) 838 3.20 30.04 14.71 3.91 0.6057 69.99 0.9545 2.963 (592)
EMD 6000/3J7N (3.8 Å) 189 3.39 60.10 11.76 3.42 0.6241 66.90 0.7805 3.649 (149)
EMD 6422/3CAU (4.1 Å) 548 2.06 15.28 2.01 1.20 0.6460 92.21 0.7346 5.354 (526)
EMD 7770/6CVM (1.9 Å) 1,021 1.97 22.77 0.29 0.34 0.7100 94.45 0.8837 3.850 (1020)
EMD 20027/3AJO (2.32 Å) 183 1.86 13.73 2.21 0.61 0.7675 95.10 0.6305 3.785 (172)
EMD 22898/3KJR (2.08 Å)
 A 284 3.62 30.09 18.79 12.84 0.2329 48.16 0.4580 11.507 (193)
 AB∗ 568 3.58 27.67 15.96 13.04 0.2756 39.11 0.6035 9.469 (193)
 C 210 2.57 5.53 4.81 15.68 0.2674 72.43 0.1247 2.756 (31)
EMD 30210/7KVB (2.5 Å)
 A 951 2.65 35.57 3.48 1.55 0.5375 88.85 0.8402 4.675 (834)
 B 207 2.26 17.64 0.49 1.70 0.4233 85.04 0.4654 5.535 (114)
 C 92 2.90 33.45 3.33 3.49 0.5366 80.14 0.3089 3.899 (63)

AlphaFold2 was run on each protein subunit from the individual cryoEM challenge data sets, with the exception of EMDB: EMD-2847. For EMDB: EMD-2847, a 70s ribosome structure with over 50 individual protein subunits, six random chains were selected for modeling with AlphaFold2. The resulting models were assessed for model quality including the Molprobity score, clash score, Ramachandran outliers, rotamer outliers), fit to density (map/model cross correlation), predicted level of confidence (pLDDT), and similarity to the reference model (TM-score, RMSD). In the final column, the number listed in parenthesis after RMSD refers to the total number of matched residues between the model and reference structures. The resolution for each map is listed in the first column after the EMDB and PDB IDs. For EMDB: EMD-22898, the asterisk indicates AlphaFold2 was run on a homodimer of chain A, denoted as AB in the table and text.