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PDB ID Mentions in PubMed Central Article count: 9

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PDB ID Mentions in PubMed Central

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Protein-protein docking using region-based 3D Zernike descriptors.

(2009) BMC Bioinformatics 10

PubMed: 20003235 | PubMedCentral: PMC2800122 | DOI: 10.1186/1471-2105-10-407

HEX ZDOCK LZerD Complex Rank lRMSD HITS2K Rank lRMSD HITS2K Rank lRMSD HITS2K 1ACB 694 8.3 3 185 9.98 5 21 9.98 2 1AHW 234 8 3 34 9.86 20 5 2.68 43 1AKJ 209 9.6 10 - - - - - - 1AVX 108 8.9 7 604 9.43 ... - - - 1AY7 645 9.9 4 568 9.39 11 1884 6.13 1 1B6C 593 9 2 182 5.6 10 73 6.2 10 1BUH 743 7.7 2 - - - 599 9.73 1 1BVK - - - 70 7.56 1125 9.83 10 1BVN 63 9.1 20 29 8.65 52 2 6.89 49 1CGI 42 9.4 17 145 3.88 32 86 8.13 12 1D6R 447 7.7 1 303 8.44 3 344 7.84 8 1DE4 946 8.6 1 - - - - - - 1DFJ 17 9.5 14 5 6.64 67 - - - 1DQJ - - - 152 9.82 23 - - - 1E6E 109 5.6 10 - - - 52 4.49 10 1E6J - - - 12 5.34 93 87 9.97 20 1E96 - - - - - - 1375 8.91 1 1EAW 9 5 20 3 5.43 87 6 9.95 19 1EER 609 9.2 8 - - - - - - 1EWY 76 9.1 12 22 8.08 51 103 9.91 110 1EZU - - - - - - 815 7.89 3 1F34 124 6.7 11 5 5.45 20 - - - 1F51 371 9.6 5 602 9.78 4 1101 8.31 1 1FQJ 41 8 12 - - - 1014 9.63 3 1FSK 5 1.8 16 1 4.04 149 15 6.23 28 1GHQ - - - - - - 1571 9.14 1 1GRN 914 9.1 2 1704 5.81 2 1407 7.41 2 1HE1 37 6.4 18 23 8.14 8 47 6.2 7 1HIA 51 8.7 6 - - - 1 9.49 74 1I4D - - - - - - 286 9.11 2 1I9R 82 2.1 8 104 9.07 16 104 9.41 10 1IJK 1012 8.7 3 - - - - - - 1IQD - - - 492 8.99 11 41 6.46 27 1JPS - - - 171 8.51 7 292 2.01 20 1K4C 21 9.6 1 - - - 219 9.78 6 1KAC 687 8.7 1 - - - 655 3.95 3 1KXP 36 9.4 13 1616 7.11 2 1226 8.05 1 1KXQ 488 7.1 5 116 7.58 29 73 4.33 16 1M10 514 9.5 2 - - - - - - 1MAH 2 1.2 20 92 3.86 9 92 2.43 2 1ML0 - - - 36 2.87 35 121 5.71 2 1MLC 408 3.6 2 110 6.17 12 1834 4.48 1 1NCA 116 1.2 5 14 7.08 49 270 9.97 2 1NSN 142 1.5 6 185 5.07 19 94 8.61 4 1PPE 2 9.7 47 1 0.86 358 1 2.26 184 1QA9 - - - - - - 546 8.07 6 1QFW - - - 257 8.63 4 108 9.54 2 1TMQ 356 5.9 9 314 6.12 11 50 3.71 11 1UDI 8 6.2 9 32 8.04 34 19 6.4 16 1VFB - - - 22 8.52 65 150 8.7 22 1WEJ - - - 81 8.36 42 156 9.82 18 1WQ1 125 7.1 10 610 9.9 5 32 9.79 11 2BTF - - - 553 6.39 3 - - - 2JEL 164 6 3 45 4.49 86 66 6.81 35 2MTA 136 9 4 - - - 4 7.57 48 2QFW - - - - - - 68 9.01 11 2SIC 57 8.8 8 173 8.62 18 127 4.59 6 2SNI 256 9.6 7 534 9.69 4 - - - 7CEI 61 8.7 5 106 7.11 28 - - - Summary HEX ZDOCK LZerD Mean 206 173 164 Rank<100 17 19 22 Rank<500 32 33 34 Rank<1000 42 39 38 Rank<2000 43 41 47 Win 18 20 22 The results of HEX are taken from the columns of "U-U shape-only Blind search" in Table 3 of the paper by Ritchie et al .

Original ZDOCK Rank Context Shapes (CS) PatchDock ZDOCK Decoys Reranked by LZerD Score LZerD Complex Rank a) iRMSD HIT2K Rank iRMSD RMSD iRMSD Rank iRMSD HIT2K Rank iRMSD HIT2K 1AHW 268 2.28 21 402 2.46 181 2.49 15 1.68 50 5 1.34 42 1AK4 - b) - - - - - - (NA NA NA) 43787 2.35 0 1AKJ 4872 2.29 0 - - - - 1985 1.93 1 - - - 1AVX 2863 2.23 0 - - - - 5689 2.22 0 786 2.41 2 1AY7 5584 1.33 0 - - - - 394 1.1 7 1884 1.98 1 1B6C 1717 2.43 2 - - - - 497 2.13 8 1001 2.41 1 1BJ1 129 0.86 49 1893 1.93 - - 306 1.01 20 298 1.86 7 1BUH 14556 2.37 0 - - - - 11230 2.42 0 12251 1.6 0 1BVK 3970 1.94 0 - - 2754 2.27 9560 2.43 0 5515 2.24 0 1BVN 502 1.97 13 34 2.34 - - 8 2.26 59 27 2.32 6 1CGI 145 2.44 9 - - 1120 2.11 1775 2.14 1 9041 2.1 0 1D6R 2951 2.03 0 - - - - 5022 2.49 0 2619 2.24 0 1DFJ 9 2.27 40 - - - - 9350 2.14 0 - - - 1DQJ 2287 2.48 0 - - - - 5391 2.32 0 20816 2.09 0 1E6E 22643 2.08 0 - - - - 432 1.94 2 52 2.13 8 1E6J 15 1.56 34 - - - - 2509 1.81 0 439 2.18 8 1E96 3094 2.26 0 - - - - 882 1.88 2 216 2.14 2 1EAW 3 1.54 62 94 2.29 85 2.29 5 1.48 111 20 2.42 10 1EWY 259 2.32 2 - - - - 1007 2.14 4 349 2.36 14 1EZU 1100 1.94 3 - - - - 589 1.42 4 824 1.21 2 1F34 5 2.2 13 - - 490 1.81 5082 1.61 0 - - - 1F51 230 2.18 4 - - - - 154 1.76 5 3545 1.58 0 1FQJ 9889 2.29 0 - - - - 628 2.39 2 - - - 1FSK 1 1.63 105 20 1.57 221 2.39 29 1.57 76 15 2.4 11 1GCQ 24339 2.29 0 - - - - 39221 2.29 0 9418 1.8 0 1GHQ - - - - - - - (NA NA NA) 15357 1.68 0 1GRN 1704 2.34 2 - - - - 1884 1.74 1 1407 2.18 1 1HE1 4672 1.31 0 1029 2.17 - - 51 2 8 267 1.98 2 1HIA - - - - - - - (NA NA NA) 44189 2.42 0 1I9R 50 2.45 41 - - - - 57 1.96 10 95 2.39 21 1IJK 52731 2.44 0 - - - - 39460 2.44 0 6731 2.45 0 1IQD 612 2.27 5 - - - - 36 0.99 27 41 1.2 18 1JPS 171 1.81 9 - - - - 5305 1.37 0 292 0.9 20 1K4C 20806 1.53 0 - - - - 4468 1.18 0 1188 1.43 7 1KAC 2896 2.33 0 - - - - 1313 2.33 1 655 2.18 3 1KTZ 53599 1.69 0 - - - - 33926 1.69 0 12162 1.19 0 1KXP 1734 2.36 1 - - - - 32023 1.91 0 14208 2.22 0 1KXQ 212 1.91 13 2226 1.73 - - 629 1.24 4 73 1.68 14 1MAH 92 1.31 9 597 1.16 887 2.28 541 0.89 6 92 0.87 2 1ML0 36 1.56 21 - - 231 2.02 406 1.37 6 559 2.38 3 1MLC 110 1.19 12 18 2.28 - - 243 1.07 12 1834 1.16 1 1NCA 14 1.93 47 - - - - 302 1.55 12 12528 1.5 0 1NSN 185 1.81 5 26 1.79 - - 147 1.81 13 945 2.29 1 1PPE 1 0.57 218 2 2.31 - - 1 0.72 194 1 0.83 68 1QA9 5672 1.88 0 - - - - 5924 1.82 0 1381 2.19 3 1QFW 257 1.14 7 597 1.73 - - 136 2.31 17 108 1.24 4 1RLB - - - - - - - (NA NA NA) 46073 1.24 0 1TMQ 314 1.88 11 783 1.68 1 1.96 90 1.45 19 50 1.45 5 1UDI 258 2.17 4 2649 2.14 27 2.42 219 2.39 3 59 2.36 6 1VFB 2734 1.79 0 228 2.46 - - 1534 1.61 1 1303 1.69 1 1WEJ 465 2.37 8 - - - - 916 1.97 1 3914 2.06 6 1WQ1 1101 2.49 2 - - - - 284 2.05 2 141 1.87 2 2JEL 45 1.79 33 - - - - 149 2.44 19 133 2.49 9 2MTA - - - - - 515 2.19 (NA NA NA) 606 1.64 11 2PCC - - - - - - - (NA NA NA) 4542 2.31 0 2QFW 832 2.29 3 33 2.32 - - 42 1.99 17 68 1.55 29 2SIC 173 1.86 24 1077 2.28 - - 17 1.85 61 12 2.04 9 2SNI 17906 2.44 0 - - - - 428 2.33 2 - - - 7CEI 106 1.97 24 2290 1.9 366 1.07 705 1.57 7 6765 2.03 0 Summary c) ZDOCK CS PatchDock (PD) LZerD Rerank LZerD Rank<100 11 7 3 11 14 Rank<500 26 9 6 26 23 Rank<1000 29 12 9 32 29 Rank<2000 33 15 10 38 36 Wins vs. LZerD Rerank ZDOCK/LZerD Rerank 26/26 CS/LZerD Rerank 5/34 PD/LZerD Rerank 7/34 - - Wins vs. LZerD ZDOCK/LZerD 24/33 CS/LZerD 5/34 PD/LZerD 8/34 LZerD Rerank/LZerD 24/28 - LZerD results are compared with ZDOCK, Context Shapes, and PatchDock.

Publication Year: 2009


Designing coarse grained-and atom based-potentials for protein-protein docking.

(2010) BMC Struct Biol 10

PubMed: 21078143 | PubMedCentral: PMC2996388 | DOI: 10.1186/1472-6807-10-40

Table 4 Ranking ZDOCK2.3 decoys (IRMSD ≤4Å) by the jackknife test Complex a Rank b ADPs-II c Zdock2.3 DARS ACE 1AK4 - - 950 1744 1B6C 95 16 9 178 1BVK 12 268 610 - 1DQJ - 1490 - - 1EWY... 164 18 42 364 1FC2 484 - 24 797 1GHQ - - - 1308 1HIA 21 653 122 - 1IJK 1131 - 368 - 1KLU - - - - 1AVX 5 46 6 59 1D6R 1840 567 - - 1E96 39 399 42 490 1F34 13 26 666 5 1GCQ 1030 - 1057 1040 1GRN 210 102 - - 1I4D 84 403 965 616 1KXP 91 7 1 200 1NSN 53 445 - - 1SBB - - - - 1ACB 113 55 24 98 1AKJ 592 40 - - 1AY7 120 100 - - 1DFJ 37 1 - - 1EAW 65 13 33 309 1FQ1 - - - - 1GP2 4 389 58 1681 1I9R 184 14 589 - 1UDI 27 13 1 1 2PCC 203 193 821 120 1AHW 23 14 - - 1BUH 14 - 555 - 1E6E 2 103 44 520 1ML0 10 1 9 32 1PPE 3 1 1 1 1QFW 544 74 - - 1TMQ 9 126 12 22 1WEJ 3 42 1047 - 2JEL 307 86 76 579 7CEI 15 1 920 708 1ATN - - - - 1BJ1 6 18 18 85 1CGI 71 247 13 24 1F51 1 11 251 797 1KAC 121 1389 - - 1KKL 283 - 1 222 1NCA 4 4 - - 1QA9 687 - - - 2SNI 17 618 1 2 1RLB 48 302 5 7 a-Complex PDB code.

Publication Year: 2010


Sampling the conformation of protein surface residues for flexible protein docking.

(2010) BMC Bioinformatics 11

PubMed: 21092317 | PubMedCentral: PMC3002368 | DOI: 10.1186/1471-2105-11-575

Table 1 The different docking test cases included in our experiments Complex PDB ID 1ACB 1AHW 1AK4 1AKJ 1AY7 1B6C 1BJ1 1BKD 1BUH 1BVK 1BVN 1CGI 1D6R 1DFJ 1DQJ 1E6E 1E6J 1EAW 1EER 1EWY 1FC2 1FSK 1GHQ 1... 9R 1IBR 1IQD 1KAC 1KTZ 1KXQ 1M10 1MAH 1ML0 1MLC 1NCA 1NSN 1QFW 1R0R 1S1Q 1SBB 1TMQ 1UDI 1VFB 1WEJ 1WQ1 1Y64 2AJF 2B42 2FD6 2I25 2JEL 2MTA 2QFW a 2SIC 2UUY 2VIS 7CEI a Note that the name 2QFW does not correspond to the actual PDB file with this ID.

Publication Year: 2010


Benchmarking and analysis of protein docking performance in Rosetta v3.2.

(2011) PLoS One 6

PubMed: 21829626 | PubMedCentral: PMC3149062 | DOI: 10.1371/journal.pone.0022477

PDB Difficulty | type N 5 µ (N 5 ) [σ(N 5 )] P success Irmsd Classification PDB Difficulty | type N 5 µ (N 5 ) [σ(N 5 )] P success Irmsd Classification 1K74 rigid-body ... O 2 2.5 [1.1] 0.20 1.63 RB sampling 1EER difficult | O 1 0.9 [1.0] 0.02 2.23 BB sampling 1Z5Y rigid-body | O 2 2.4 [1.1] 0.16 1.14 BB sampling 1FAK difficult | O 1 0.9 [0.9] 0.01 3.30 discrimination 1WEJ rigid-body | A 2 2.2 [1.1] 0.14 2.60 discrimination 1TMQ rigid-body | E 1 0.8 [0.9] 0.01 1.47 RB sampling 1HE8 medium | O 2 2.2 [1.1] 0.13 3.19 BB sampling 1I4D rigid-body | O 1 0.8 [0.9] 0.01 3.13 RB sampling 1ATN difficult | O 2 2.1 [1.2] 0.12 1.53 RB sampling 1RLB rigid-body | O 1 0.8 [0.9] 0.01 3.88 RB sampling 2HQS rigid-body | O 2 2.1 [1.2] 0.13 2.69 BB sampling 1Z0K rigid-body | O 1 0.7 [0.8] 0.00 3.56 BB sampling 1JMO difficult | O 2 2.1 [1.2] 0.11 2.82 BB sampling 1EFN rigid-body | O 1 0.7 [0.8] 0.00 3.58 BB sampling 2O8V rigid-body | E 2 2.1 [1.2] 0.12 3.62 BB sampling 1I9R rigid-body | AB 1 0.6 [0.8] 0.00 0.52 RB sampling 1J2J rigid-body | O 2 2.0 [1.4] 0.14 1.10 BB sampling 1AZS rigid-body | O 0 0.5 [0.9] 0.01 5.41 RB sampling 1NSN rigid-body | AB 2 2.0 [1.2] 0.10 1.15 discrimination 2B42 rigid-body | E 0 0.4 [0.6] 0.00 5.85 RB sampling 1K5D medium | O 2 2.0 [1.1] 0.09 2.87 BB sampling 2BTF rigid-body | O 0 0.3 [0.6] 0.00 4.44 BB sampling 1FQ1 difficult | E 2 1.7 [1.3] 0.08 2.18 RB sampling 1KKL medium | E 0 0.2 [0.5] 0.00 4.60 RB sampling 2AJF rigid-body | O 2 1.7 [1.1] 0.06 1.23 RB sampling 1F51 rigid-body | O 0 0.2 [0.5] 0.00 12.35 BB sampling 1E96 rigid-body | O 1 1.6 [1.1] 0.05 3.38 BB sampling 1KAC rigid-body | O 0 0.1 [0.5] 0.00 4.01 BB sampling 1I2M medium | O 1 1.5 [1.0] 0.03 2.68 BB sampling 1MLC rigid-body | A 0 0.1 [0.4] 0.00 4.31 BB sampling 1QFW rigid-body | AB 1 1.5 [1.1] 0.03 1.93 RB sampling 1S1Q rigid-body | O 0 0.1 [0.3] 0.00 4.37 BB sampling 1GLA rigid-body | O 2 1.5 [1.1] 0.05 2.98 BB sampling 1M10 medium | E 0 0.0 [0.0] 0.00 4.46 BB sampling 1AKJ rigid-body | O 1 1.2 [1.0] 0.02 1.48 BB sampling 1A2K rigid-body | O 0 0.0 [0.0] 0.00 5.20 BB sampling 1EZU rigid-body | E 1 1.2 [1.0] 0.02 2.82 RB sampling 1R8S difficult | O 0 0.0 [0.0] 0.00 5.21 BB sampling 1F34 rigid-body | E 1 1.2 [1.0] 0.02 4.00 RB sampling 1GP2 medium | O 0 0.0 [0.0] 0.00 5.23 BB sampling 1GRN medium | O 1 1.1 [1.0] 0.02 1.24 BB sampling 1IBR difficult | O 0 0.0 [0.0] 0.00 5.46 RB sampling 1NW9 medium | E 1 1.1 [1.0] 0.02 2.33 BB sampling 1BKD difficult | O 0 0.0 [0.0] 0.00 5.62 BB sampling 2H7V medium | O 1 1.1 [1.0] 0.02 3.65 BB sampling 2OT3 difficult | O 0 0.0 [0.0] 0.00 6.00 BB sampling 1GHQ rigid-body | O 1 1.0 [1.0] 0.01 2.69 BB sampling 1FQJ rigid-body | O 0 0.0 [0.0] 0.00 6.48 RB sampling 2NZ8 medium | O 1 1.0 [1.0] 0.02 3.91 BB sampling 1PXV difficult | E 0 0.0 [0.0] 0.00 9.49 BB sampling 1IB1 medium | O 1 1.0 [1.0] 0.01 3.95 discrimination 1H1V difficult | O 0 0.0 [0.0] 0.00 9.96 BB sampling 1K4C rigid-body | AB 1 1.0 [1.1] 0.02 2.15 BB sampling 1Y64 difficult | O 0 0.0 [0.0] 0.00 13.70 discrimination 1EWY rigid-body | E 1 1.0 [1.1] 0.02 3.01 BB sampling 1DQJ rigid-body | A 0 0.0 [0.2] 0.00 6.15 BB sampling 2PCC rigid-body | E 1 1.0 [0.9] 0.01 3.38 discrimination 1ACB medium | E 0 0.0 [0.1] 0.00 4.56 RB sampling 1KLU rigid-body | O 0 0.0 [0.1] 0.00 8.16 BB sampling Unsuccessful docking predictions are classified as cases for which the five lowest-energy decoys did not contain at least three near-native structures.

Publication Year: 2011


Predicting protein-protein interface residues using local surface structural similarity.

(2012) BMC Bioinformatics 13

PubMed: 22424103 | PubMedCentral: PMC3386866 | DOI: 10.1186/1471-2105-13-41

We found that in 7 of 188 cases (corresponding to the PDB Ids and chains 1ghq-A, 1gp2-G, 1t6b-X, 1wq1-G, 1xd3-B, 1z0k-B, and 2ajf-A) PredUs failed to find structural neighbors, and hence failed to pre... ict interfaces.

Publication Year: 2012


Zinc-induced self-association of complement C3b and Factor H: implications for inflammation and age-related macular degeneration.

(2013) J Biol Chem 288

PubMed: 23661701 | PubMedCentral: PMC3696691 | DOI: 10.1074/jbc.M113.476143

Name PDB code Number of C3 domains Number of residues in the PDB file Unique zinc binding residues predicted METSITE >0.7 Number of unique zinc binding residues per 100 residues C3 2A73 13 161... 38 2.4 C3b 2ICF 12 1545 45 2.9 C3b 2I07 12 1531 27 1.8 C3u 3MMQ 13 1531 28 1.8 C3c 2A74 10 1109 17 1.5 C3d 1C3D 1 294 3 1.0 C3d 1GHQ 1 307 4 1.3 The front and back surfaces of the five C3 proteins showed that the partial zinc binding site predictions were broadly distributed ( Fig. 8 ).

The predictions used crystal structures for C3 (PDB code 2A73 ) ( 4 ), C3b (PDB codes 2I07 and 2ICF ) ( 51 , 52 ), C3c (PDB code 2A74 ) ( 4 ), and C3d (PDB codes 1C3D and 1GHQ ( 53 , 54 ), and a solution structure for C3u (PDB code 3MMQ ) ( 43 ).

Publication Year: 2013


Re-docking scheme for generating near-native protein complexes by assembling residue interaction fingerprints.

(2013) PLoS One 8

PubMed: 23874954 | PubMedCentral: PMC3712918 | DOI: 10.1371/journal.pone.0069365

Even when no near-native decoys were found in the initial-docking process (1GHQ and 2PCC), which could be considered as a case of most difficult situation, we were able to obtain near-native decoys by... using the re-docking method outlined here.

Rigid-body (34) 1AK4 1AVX 1AY7 1B6C 1BUH 1BVN 1CGI 1D6R 1DFJ 1E6E 1E96 1EAW 1EWY 1F34 1FC2 1FQJ 1GCQ 1GHQ 1HE1 1KAC 1KTZ 1KXP 1KXQ 1MAH 1PPE 1QA9 1SBB 1TMQ 1UDI 2BTF 2PCC 2SIC 2SNI 7CEI Medium Difficulty (6) 1ACB 1GRN 1HE8 1I2M 1M10 1WQ1 Difficult (4) 1ATN 1FQ1 1H1V 1IBR Definition of IFP and Similarity between Decoys As suggested previously, it is sufficient to compare the interacting fragments rather than the whole structures to obtain information on near-native molecular interactions [9] , [10] .

Publication Year: 2013


Classification of domain movements in proteins using dynamic contact graphs.

(2013) PLoS One 8

PubMed: 24260562 | PubMedCentral: PMC3832408 | DOI: 10.1371/journal.pone.0081224

An example can be seen in the domain movement in the human cellular receptor for Epstein-Barr virus (PDB codes 1GHQ and 1LY2) where contact is established via a twist motion (6.7% closure).

Publication Year: 2013


PubMed ID is not available.

Published in 2014

PubMedCentral: PMC4443796

Rigid-body (21) 1AK4, 1AVX, 1AY7, 1B6C, 1CGI, 1D6R, 1E96, 1EAW, 1EWY, 1GCQ, 1GHQ, 1HE1, 1KAC, 1KTZ, 1PPE, 1SBB, 1UDI, 2PCC, 2SIC, 2SNI, 7CEI Medium Difficulty (2) 1ACB, 1GRN Table 3 The 44 complex str... ctures selected from the ZLAB Benchmark 2.0 dataset (small dataset).

Rigid-body (34) 1AK4, 1AVX, 1AY7, 1B6C, 1BUH, 1BVN, 1CGI, 1D6R, 1DFJ, 1E6E, 1E96, 1EAW, 1EWY, 1F34, 1FC2, 1FQJ, 1GCQ, 1GHQ, 1HE1, 1KAC, 1KTZ, 1KXP, 1KXQ, 1MAH, 1PPE, 1QA9, 1SBB, 1TMQ, 1UDI, 2BTF, 2PCC, 2SIC, 2SNI, 7CEI Medium Difficulty (6) 1ACB, 1GRN, 1HE8, 1I2M, 1M10, 1WQ1 Difficult (4) 1ATN, 1FQ1, 1H1V, 1IBR Table 4 The 120 complex structures selected from the ZLAB Benchmark 4.0 dataset (large dataset).

Publication Year: 2014