Viewer - CASP13

PFRMAT  RR
TARGET  T0963
AUTHOR  0371-5189-2822
METHOD  contact prediction by deep residual neural networks and transfer learning
METHOD -------------
MODEL   1
SGSVTAGMALAATDIPGLDASKLVSGVLAEQRLPVFARGLATAVSNSSDP
NTATVPLMLTNHANGPVAGRYFYIQSMFYPDQNGNASQIATSYNATSEMY
VRVSYAANPSIREWLPWQRCDIGGSFTKEADGELPGGVNLDSMVTSGWWS
QSFTAQAASGANYPIVRAGLLHVYAASSNFIYQTYQAYDGESFYFRCRHS
NTWFPWRRMWHGGDFNPSDYLLKSGFYWNALPGKPATFPPSAHNHDVGQL
TSGILPLARGGVGSNTAAGARSTIGAGVPATASLGASGWWRDNDTGLIRQ
WGQVTCPADADASITFPIPFPTLCLGGYANQTSAFHPGTDASTGFRGATT
TTAVIRNGYFAQAVLSWEAFGR
324 369 0 8 0.9910360000
186 193 0 8 0.9706710000
323 370 0 8 0.9693480000
185 194 0 8 0.9583830000
299 368 0 8 0.9538220000
304 365 0 8 0.9495360000
326 367 0 8 0.9490200000
171 183 0 8 0.9390290000
303 366 0 8 0.9349620000
322 371 0 8 0.9325440000
303 365 0 8 0.9300040000
185 193 0 8 0.9289830000
101 117 0 8 0.9269410000
103 115 0 8 0.9242190000
302 366 0 8 0.9237210000
305 364 0 8 0.9209970000
99 120 0 8 0.9154050000
325 370 0 8 0.9137850000
290 299 0 8 0.9134200000
102 117 0 8 0.9124130000
304 364 0 8 0.9120410000
196 206 0 8 0.9119420000
325 368 0 8 0.9117990000
301 366 0 8 0.9114550000
173 181 0 8 0.9110620000
221 227 0 8 0.9084420000
100 119 0 8 0.9043730000
149 171 0 8 0.9023140000
183 196 0 8 0.9021300000
184 195 0 8 0.8994950000
195 206 0 8 0.8975730000
302 367 0 8 0.8964390000
323 369 0 8 0.8936390000
301 367 0 8 0.8887720000
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101 118 0 8 0.8801390000
328 365 0 8 0.8799330000
103 117 0 8 0.8783350000
313 357 0 8 0.8781990000
315 355 0 8 0.8732500000
194 206 0 8 0.8725930000
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290 298 0 8 0.8596060000
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300 368 0 8 0.8558820000
104 114 0 8 0.8557300000
182 197 0 8 0.8544340000
297 370 0 8 0.8523550000
299 369 0 8 0.8478120000
302 314 0 8 0.8475140000
194 208 0 8 0.8464010000
220 227 0 8 0.8456160000
301 368 0 8 0.8396840000
289 298 0 8 0.8395990000
149 194 0 8 0.8393940000
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169 185 0 8 0.8391630000
299 370 0 8 0.8386350000
102 116 0 8 0.8383670000
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220 228 0 8 0.8364570000
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327 367 0 8 0.8299930000
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314 327 0 8 0.7792080000
148 173 0 8 0.7786110000
105 114 0 8 0.7777930000
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172 184 0 8 0.7672680000
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170 185 0 8 0.7388950000
150 172 0 8 0.7384360000
322 369 0 8 0.7369210000
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323 372 0 8 0.7339160000
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103 116 0 8 0.7312540000
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358 365 0 8 0.7264190000
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106 113 0 8 0.7197460000
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150 192 0 8 0.7122010000
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314 355 0 8 0.7058310000
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101 120 0 8 0.6945240000
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316 355 0 8 0.6923650000
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325 369 0 8 0.6672040000
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292 298 0 8 0.6567100000
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306 364 0 8 0.6534190000
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344 360 0 8 0.6527850000
148 174 0 8 0.6504900000
345 360 0 8 0.6469720000
147 175 0 8 0.6395280000
144 198 0 8 0.6374990000
326 368 0 8 0.6334150000
330 364 0 8 0.6321010000
78 86 0 8 0.6310540000
78 87 0 8 0.6303650000
151 169 0 8 0.6297350000
323 371 0 8 0.6287540000
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313 355 0 8 0.6270640000
310 360 0 8 0.6263260000
326 366 0 8 0.6223480000
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152 169 0 8 0.6201860000
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298 369 0 8 0.6163580000
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320 369 0 8 0.6135150000
289 301 0 8 0.6134520000
219 230 0 8 0.6134410000
283 290 0 8 0.6124480000
301 314 0 8 0.6069880000
100 120 0 8 0.6021280000
77 89 0 8 0.6020140000
359 365 0 8 0.6018040000
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302 313 0 8 0.5962850000
354 369 0 8 0.5952140000
220 230 0 8 0.5924520000
314 357 0 8 0.5907230000
357 368 0 8 0.5894180000
315 356 0 8 0.5883920000
316 327 0 8 0.5882050000
197 205 0 8 0.5865430000
317 353 0 8 0.5860190000
105 112 0 8 0.5857380000
303 312 0 8 0.5844380000
320 371 0 8 0.5831230000
305 311 0 8 0.5826500000
183 197 0 8 0.5824090000
318 354 0 8 0.5823860000
310 359 0 8 0.5796350000
350 356 0 8 0.5787110000
359 366 0 8 0.5779050000
78 88 0 8 0.5775130000
356 368 0 8 0.5769060000
303 313 0 8 0.5748180000
154 169 0 8 0.5728970000
329 364 0 8 0.5717610000
296 371 0 8 0.5678060000
344 361 0 8 0.5676390000
150 174 0 8 0.5669610000
304 367 0 8 0.5668270000
168 188 0 8 0.5667560000
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288 302 0 8 0.5634590000
345 361 0 8 0.5629030000
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306 365 0 8 0.5560830000
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324 370 0 8 0.5522670000
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318 353 0 8 0.5320240000
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263 271 0 8 0.5230670000
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284 290 0 8 0.5225470000
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261 272 0 8 0.5067930000
306 362 0 8 0.5052420000
295 372 0 8 0.5037770000
316 353 0 8 0.5027620000
191 211 0 8 0.5025850000
61 67 0 8 0.5024110000
152 171 0 8 0.5014690000
258 275 0 8 0.5013650000
143 150 0 8 0.5000550000
318 324 0 8 0.4998270000
143 149 0 8 0.4988110000
76 89 0 8 0.4987870000
300 367 0 8 0.4987430000
317 324 0 8 0.4977040000
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END