REMARK SPARTA+ Protein Chemical Shift Prediction Table REMARK REMARK All chemical shifts are reported in ppm: REMARK REMARK SS_SHIFT is the predicted secondary chemical shift. REMARK SHIFT is the predicted chemical shift. REMARK RC_SHIFT is the random coil chemical shift. REMARK HM_SHIFT is the ring current shift; a correction REMARK of 0.6 times this value is applied. REMARK EF_SHIFT is the adjustment for electric field effect, REMARK applied to proton shifts only. REMARK SIGMA is the estimated prediction error. REMARK REMARK Reference: REMARK Y. Shen and A. Bax: SPARTA+: a modest improvement in empirical NMR REMARK chemical shift prediction by means of an artificial neural network. REMARK J. Biomol. NMR 48, 13-22 (2010). DATA SOURCE 1nrq_1_R DATA FIRST_RESID 40 DATA SEQUENCE PXSXLXXXXX XKYEPF VARS RESID RESNAME ATOMNAME SS_SHIFT SHIFT RC_SHIFT HM_SHIFT EF_SHIFT SIGMA FORMAT %4d %4s %4s %9.3f %9.3f %9.3f %9.3f %9.3f %9.3f 40 P HA 0.000 nan 4.420 nan 0.000 0.216 40 P C 0.000 177.284 177.300 -0.027 0.000 1.155 40 P CA 0.000 63.089 63.100 -0.019 0.000 0.800 40 P CB 0.000 31.688 31.700 -0.021 0.000 0.726 52 Y N 0.367 120.669 120.300 0.003 0.000 2.442 52 Y HA 0.562 5.112 4.550 0.000 0.000 0.344 52 Y C 0.966 176.870 175.900 0.006 0.000 0.976 52 Y CA -0.307 57.798 58.100 0.010 0.000 1.040 52 Y CB 2.054 40.523 38.460 0.016 0.000 1.228 52 Y HN 0.612 nan 8.280 nan 0.000 0.451 53 E N 3.401 123.679 120.200 0.130 0.000 3.194 53 E HA 0.153 4.503 4.350 -0.000 0.000 0.343 53 E C -2.348 174.298 176.600 0.076 0.000 1.500 53 E CA -1.040 55.409 56.400 0.082 0.000 1.748 53 E CB -1.371 28.371 29.700 0.070 0.000 0.994 53 E HN 0.426 nan 8.360 nan 0.000 0.644 54 P HA 0.434 nan 4.420 nan 0.000 0.267 54 P C -0.457 176.852 177.300 0.014 0.000 1.205 54 P CA 0.038 63.045 63.100 -0.154 0.000 0.765 54 P CB -0.280 31.270 31.700 -0.249 0.000 0.828 55 F N 0.000 119.969 119.950 0.032 0.000 2.286 55 F HA 0.000 4.527 4.527 -0.000 0.000 0.279 55 F CA 0.000 58.013 58.000 0.022 0.000 1.383 55 F CB 0.000 39.013 39.000 0.022 0.000 1.145 55 F HN 0.000 nan 8.300 nan 0.000 0.574