Structures Statistics


Filter Statistics:
Experimental methods Number of structures
MR 76
SAD 45
SAD/MR 2
Structures Statistics for NYSGRC




Models should have Rfactor and Rfree that are bellow the blue line.
Target id PDB id Resolution R R-free No. of waters per residue Method Clashscore Molprobity Score First Author
* Structures with the best and worst parameters are highlighted with separate colors. The best structures with molprobity clashscore better than 60% (of PDB deposits) and R, Rfree values lower than guidelines are colored in green. They also fulfill the additional condition: either R or R-free (or both) are lower by two percentiles than the guideline. The Worst structures with molprobity clashscore worse than 60% (of PDB deposits) are colored in red. Structures with either R or Rfree (or both) higher by two percentiles than the guideline are also colored in red.
000017 3RHD 2.20 0.182 0.238 0.33 MR 98% 1.63 Vladimir Malashkevich
000017 3PQA 1.50 0.189 0.222 0.74 MR 86% 1.49 Vladimir Malashkevich
000084 3R6A 1.76 0.218 0.234 0.42 SAD 43% 2.03 Subramanyam Swaminathan
000191 3R31 2.15 0.197 0.245 0.23 MR 51% 2.57 Rakhi Agarwal
000193 3R4Q 2.51 0.230 0.296 0.00 SAD 79% 2.36 Rakhi Agarwal
000196 3R79 1.90 0.244 0.245 0.37 SAD 80% 1.71 Subramanyam Swaminathan
000233 3RHA 2.05 0.159 0.195 1.08 MR 84% 1.88 Zhening Zhang
000283 3TG9 2.20 0.195 0.230 0.41 MR 83% 2.29 Zhening Zhang
000290 3P9X 1.90 0.193 0.226 0.83 MR 99% 1.49 Yury Patskovsky
000295 3OA4 1.94 0.198 0.234 0.41 MR 83% 2.12 Vladimir Malashkevich
000296 3QAN 1.95 0.218 0.280 0.47 MR 97% 1.76 Vladimir Malashkevich
000308 3RHH 2.30 0.235 0.297 0.11 MR 74% 2.56 Vladimir Malashkevich
000308 3PRL 2.00 0.251 0.306 0.29 MR 56% 2.43 Vladimir Malashkevich
000310 3RMT 2.80 0.226 0.286 0.05 MR 91% 2.85 Vladimir Malashkevich
000337 3RJL 2.20 0.224 0.292 0.16 MR 98% 1.99 Yury Patskovsky
000360 4DNG 2.50 0.185 0.256 0.08 MR 77% 2.35 Vladimir Malashkevich
000379 3OAJ 1.40 0.182 0.225 1.12 MR 73% 1.52 Vladimir Malashkevich
000408 3PTW 2.10 0.220 0.265 0.28 MR 84% 2.23 Vladimir Malashkevich
000469 3R64 2.57 0.235 0.282 0.16 MR 63% 2.97 Rakhi Agarwal
000524 3TFW 1.88 0.206 0.244 0.59 SAD 95% 1.62 Subramanyam Swaminathan
000529 3TFX 2.19 0.207 0.252 0.62 SAD 77% 2.48 Subramanyam Swaminathan
000531 3ROS 1.88 0.192 0.222 0.46 SAD 73% 1.73 Subramaniam Eswaramoorthy
000544 3RHE 2.05 0.219 0.241 0.35 SAD 52% 2.17 Zhening Zhang
000560 3R2G 1.94 0.181 0.207 0.67 SAD 90% 2.18 Rakhi Agarwal
000563 3R3H 2.65 0.265 0.290 0.00 SAD 47% 3.09 Rakhi Agarwal
000584 3RH9 2.63 0.191 0.252 0.27 SAD 69% 2.54 Zhening Zhang
000813 3T66 2.80 0.222 0.274 0.02 MR 91% 2.82 Rakhi Agarwal
001422 3ROT 1.91 0.220 0.254 0.17 SAD 57% 1.81 Subramaniam Eswaramoorthy
001462 3UIF 2.60 0.199 0.278 0.18 SAD/MR 99% 2.35 Vladimir Malashkevich
001582 3R39 2.14 0.203 0.221 0.34 SAD 89% 1.86 Rakhi Agarwal
005598 3R0N 1.30 0.153 0.173 1.05 MR 75% 1.37 Rajesh Prakash
005622 3RBG 2.30 0.201 0.233 0.30 MR 84% 2.33 Rotem Rubenstein
005977 3RP1 2.60 0.217 0.293 0.09 MR 93% 2.02 Partha Sampathkumar
006165 3RQ3 2.70 0.208 0.253 0.18 MR 98% 2.35 Rajesh Prakash
006165 3Q0H 1.70 0.209 0.237 0.56 SAD/MR 78% 1.91 Rajesh Prakash
011104 3UGN 2.59 0.245 0.296 ? MR ? ? Rajesh Prakash
011119 4E4S 1.95 0.148 0.178 0.35 MR 82% 1.86 Rajesh Prakash
011123 4DB5 1.52 0.161 0.176 1.01 MR 69% 1.57 Rajesh Prakash
011686 4DGS 2.33 0.298 0.316 0.00 MR 18% 3.49 Zhening Zhang
011697 3UOE 2.31 0.192 0.245 0.36 MR 80% 2.04 Zhening Zhang
011880 3U3X 2.79 0.202 0.253 0.06 MR 87% 3.01 Rakhi Agarwal
011931 3V76 2.51 0.199 0.251 0.27 MR 53% 3.01 Zhening Zhang
011934 4E4G 2.90 0.192 0.269 0.09 MR 75% 3.16 Vladimir Malashkevich
011952 3UMA 2.20 0.214 0.241 0.15 MR 92% 2.04 Subramaniam Eswaramoorthy
011958 3UP8 1.96 0.212 0.240 0.24 MR 97% 1.48 Subramaniam Eswaramoorthy
012003 4EJ6 1.89 0.177 0.202 0.54 SAD 98% 1.12 Partha Sampathkumar
012026 3US8 2.25 0.182 0.237 0.45 SAD 83% 2.39 Desigan Kumaran
012035 4DNA 2.80 0.211 0.272 0.07 MR 92% 2.69 Vladimir Malashkevich
012061 4DAL 2.30 0.187 0.237 0.19 MR 90% 2.25 Vladimir Malashkevich
012068 3VC7 2.23 0.182 0.228 0.23 MR 95% 1.43 Agnidipta Ghosh
012068 4ESO 1.91 0.195 0.234 0.45 SAD ? ? Agnidipta Ghosh
012078 4E6P 2.10 0.163 0.206 0.52 SAD 97% 1.35 Rajesh Prakash
012081 3UOG 2.20 0.209 0.249 0.22 MR 61% 2.74 Vladimir Malashkevich
012102 3UHJ 2.34 0.200 0.264 0.19 MR 79% 2.38 Rakhi Agarwal
012111 3U5R 2.05 0.184 0.232 0.53 MR 91% 2.06 Rakhi Agarwal
012131 4DIO 2.60 0.235 0.287 0.13 MR 63% 2.55 Zhening Zhang
012133 3V5N 2.80 0.188 0.252 0.06 MR 71% 2.99 Zhening Zhang
012149 3URH 1.90 0.187 0.227 0.44 SAD 77% 2.24 Desigan Kumaran
012178 4DA9 2.50 0.180 0.231 0.17 SAD 90% 2.29 Vladimir Malashkevich
012178 4EH0 2.40 0.201 0.242 ? MR ? ? Rajesh Prakash
012205 3UN1 2.45 0.188 0.241 0.17 MR 73% 2.60 Rakhi Agarwal
012211 3V4C 1.91 0.174 0.225 0.67 MR 69% 1.85 Rakhi Agarwal
012233 3V2G 2.30 0.169 0.205 0.72 MR 92% 2.25 Rakhi Agarwal
012235 3U5T 2.40 0.246 0.285 0.14 SAD 43% 2.75 Zhening Zhang
012300 3V2H 3.00 0.229 0.287 0.07 MR 88% 2.78 Zhening Zhang
012316 3V8B 2.70 0.190 0.255 0.05 MR 85% 2.86 Desigan Kumaran
012321 4DRY 2.50 0.209 0.264 0.22 SAD 89% 2.27 Zhening Zhang
012365 4DND 1.40 0.164 0.200 1.26 SAD 95% 1.18 Vladimir Malashkevich
012386 3T61 2.20 0.237 0.250 0.44 SAD 72% 1.87 Desigan Kumaran
012388 3T69 2.55 0.220 0.277 0.11 MR 88% 2.75 Rakhi Agarwal
012403 4E1J 2.33 0.233 0.289 0.05 SAD 40% 3.03 Rakhi Agarwal
012406 3UBO 2.60 0.237 0.267 0.07 SAD 40% 3.24 Zhening Zhang
012416 3TXV 2.80 0.243 0.293 0.08 MR 91% 2.75 Rakhi Agarwal
012424 3TOX 1.93 0.203 0.255 0.42 MR 55% 1.92 Rakhi Agarwal
012473 3TPC 2.34 0.215 0.270 0.15 MR 56% 2.84 Rakhi Agarwal
012478 3TFO 2.08 0.178 0.219 0.64 SAD 67% 2.24 Rakhi Agarwal
012499 3U9L 2.10 0.187 0.236 0.69 SAD 78% 1.69 Zhening Zhang
012519 3U4J 2.00 0.189 0.224 0.31 SAD 87% 1.83 Subramaniam Eswaramoorthy
012591 3PVC 2.31 0.173 0.231 0.27 SAD 94% 2.14 Jungwook Kim
012591 3SGL 2.70 0.184 0.259 0.14 MR 86% 2.55 Jungwook Kim
012882 3UXY 2.10 0.172 0.212 0.60 MR 92% 1.69 Zhening Zhang
012907 4E8G 2.00 0.165 0.202 0.66 MR 99% 1.24 Matthew Vetting
013012 4E3E 1.90 0.143 0.188 0.68 SAD 96% 1.64 Vladimir Malashkevich
013101 4DN9 2.05 0.162 0.226 0.52 SAD 99% 1.10 Vladimir Malashkevich
013402 4E21 2.30 0.198 0.240 0.28 SAD 69% 2.52 Zhening Zhang
013409 4DN2 1.50 0.154 0.194 0.49 SAD 83% 1.38 Vladimir Malashkevich
013885 4DN7 1.60 0.169 0.232 0.63 SAD 77% 1.55 Vladimir Malashkevich
013905 4DPO 2.73 0.238 0.283 0.03 MR 95% 2.70 Rakhi Agarwal
014180 4DLL 2.11 0.221 0.278 0.20 MR 42% 2.59 Rakhi Agarwal
014181 4DU5 2.70 0.231 0.295 0.11 SAD 85% 2.88 Rakhi Agarwal
014306 4E3A 1.63 0.172 0.228 0.59 MR 85% 1.65 Vladimir Malashkevich
014350 4DUP 2.45 0.225 0.293 0.09 SAD 58% 2.91 Desigan Kumaran
014458 4E3Z 2.00 0.168 0.215 0.62 SAD 89% 2.09 Desigan Kumaran
014515 4DVJ 1.99 0.165 0.206 0.64 SAD 95% 1.60 Rakhi Agarwal
014530 4DQX 2.00 0.161 0.198 0.65 SAD 95% 1.74 Rakhi Agarwal
015235 4DYV 1.80 0.168 0.205 1.00 SAD 98% 1.15 Rakhi Agarwal
019670 4DNH 2.50 0.177 0.240 0.25 SAD 94% 2.35 Vladimir Malashkevich
200449 4DYK 2.00 0.177 0.224 0.35 MR 92% 1.89 Matthew Vetting
200456 4DZH 1.55 0.209 0.233 0.56 MR 92% 1.57 Matthew Vetting
200548 3U9I 2.40 0.246 0.285 0.18 SAD 73% 3.24 Zhening Zhang
200551 3S5S 2.40 0.196 0.263 0.09 MR 87% 2.63 Rajesh Prakash
200555 3R11 2.00 0.151 0.181 0.98 MR 96% 1.30 Matthew Vetting
200555 3R1Z 1.90 0.159 0.185 0.97 MR 92% 1.37 Matthew Vetting
200555 3R10 2.00 0.161 0.191 0.80 MR 93% 1.38 Matthew Vetting
200555 3R0U 1.90 0.161 0.195 0.86 MR 95% 1.32 Matthew Vetting
200555 3R0K 2.00 0.167 0.197 0.78 SAD 88% 1.46 Matthew Vetting
200604 3TCS 1.88 0.209 0.216 0.31 MR 63% 1.71 Subramaniam Eswaramoorthy
200636 3STP 1.88 0.166 0.185 0.61 MR 89% 1.57 Subramaniam Eswaramoorthy
200645 3SQS 1.90 0.187 0.208 0.79 MR 68% 2.15 Desigan Kumaran
200688 3RCY 1.99 0.148 0.181 0.73 MR 99% 1.41 Vladimir Malashkevich
200689 3T9P 1.97 0.183 0.219 0.85 SAD 93% 1.71 Rakhi Agarwal
200750 4E5T 2.90 0.168 0.242 0.02 MR 96% 2.56 Rajesh Prakash
200756 3SSZ 2.39 0.186 0.235 0.27 MR 91% 2.34 Zhening Zhang
200780 4E4U 1.35 0.134 0.146 1.05 MR 94% 1.41 Rajesh Prakash
200833 3T4W 2.52 0.186 0.240 0.28 MR 91% 2.23 Zhening Zhang
200834 3U4F 1.90 0.182 0.207 0.34 MR 95% 1.63 Subramaniam Eswaramoorthy
200881 3T8Q 2.00 0.153 0.193 0.85 MR 74% 2.02 Rakhi Agarwal
202090 4E6M 1.80 0.175 0.206 0.73 MR 94% 1.60 Vladimir Malashkevich
490003 3V4D 1.95 0.195 0.217 0.45 SAD 97% 1.26 Aleksandra Knapik
490004 3V48 2.10 0.172 0.226 0.59 SAD 94% 1.68 Aleksandra Knapik
491001 3V03 2.70 0.205 0.256 0.04 MR 98% 1.41 Karolina Majorek
491003 3V08 2.45 0.206 0.245 0.22 MR 81% 1.69 Karolina Majorek
491005 3V09 2.27 0.195 0.243 0.32 MR 96% 1.48 Karolina Majorek