&Cam &Iterator UberIterator &ModelFile vulva1.net 1150243638000 &OutfileName output/vulva1_6_14_10_31_41 &RunMode RandomRange Uniform &MaxStepFraction 1.0 &Evaluators &Iterator s1 StartAtBeginning Savefinalpars &VPCDoseResponseIterator &HighLowThreshold 0.2 &ScoreThreshold 6.0 &MinFlatness 0.1 &NumSteps 50.0 &TargetNode MAPKP &PlateauFile singlecellout &Stopper NoChangeStop &Node MAPKP &FirstStabilityCheckTime 300.0 &AbsoluteThreshold 0.01 &ChangeThreshold 0.01 &Interval 1.0 &StopTime 1000.0 &endStopper &ParamsToVary &r_ERera 0.1 0.0010 10.0 Logarithmic &endParamsToVary &endIterator &endEvaluators &VaryAllParams &endIterator &ValueFieldNames &Score number &NumFunctionCalls number &IteratorScore number &endValueFieldNames &endHeader // Count = 1 // Count = 2 // Count = 3 // Count = 4 // Count = 5 // Count = 6 // Count = 7 // Count = 8 // Count = 9 // Count = 10 // Count = 11 // Count = 12 // Count = 13 // Count = 14 // Count = 15 // Count = 16 // Count = 17 // Count = 18 // Count = 19 // Count = 20 // Count = 21 // Count = 22 // Count = 23 // Count = 24 // Count = 25 // Count = 26 // Count = 27 // Count = 28 // Count = 29 // Count = 30 // Count = 31 // Count = 32 // Count = 33 // Count = 34 // Count = 35 // Count = 36 // Count = 37 // Count = 38 // Count = 39 // Count = 40 // Count = 41 // Count = 42 // Count = 43 // Count = 44 // Count = 45 // Count = 46 // Count = 47 // Count = 48 // Count = 49 // Count = 50 // Count = 51 // Count = 52 // Count = 53 // Count = 54 // Had an NaN in this model run // Count = 55 // Count = 56 // Count = 57 // Count = 58 // Count = 59 // Count = 60 // Count = 61 // Count = 62 // Count = 63 // Count = 64 // Count = 65 // Count = 66 // Count = 67 // Count = 68 // Had an NaN in this model run // Count = 69 // Count = 70 // Count = 71 // Count = 72 // Count = 73 // Had an NaN in this model run // Count = 74 // Count = 75 // Count = 76 // Count = 77 // Count = 78 // Count = 79 // Count = 80 // Count = 81 // Count = 82 // Count = 83 // Count = 84 // Count = 85 // Count = 86 // Count = 87 // Count = 88 // Count = 89 // Count = 90 // Count = 91 // Count = 92 // Count = 93 // Count = 94 // Count = 95 // Count = 96 // Count = 97 // Count = 98 // Count = 99 // Count = 100 // Count = 101 // Count = 102 // Count = 103 // Count = 104 // Count = 105 // Count = 106 // Count = 107 // Count = 108 // Count = 109 // Count = 110 // Count = 111 // Count = 112 // Count = 113 // Count = 114 // Count = 115 // Count = 116 // Count = 117 // Count = 118 // Count = 119 // Had an NaN in this model run // Count = 120 // Count = 121 // Count = 122 // Count = 123 // Count = 124 // Count = 125 // Count = 126 // Count = 127 // Count = 128 // Count = 129 // Count = 130 // Count = 131 // Count = 132 // Count = 133 // Count = 134 // Count = 135 // Count = 136 // Count = 137 // Count = 138 // Count = 139 // Count = 140 // Count = 141 // Count = 142 // Count = 143 // Count = 144 // Count = 145 // Count = 146 // Count = 147 // Count = 148 // Count = 149 // Count = 150 // Count = 151 // Count = 152 // Count = 153 // Count = 154 // Count = 155 // Had an NaN in this model run // Count = 156 // Count = 157 // Count = 158 // Count = 159 // Count = 160 // Count = 161 // Count = 162 // Count = 163 // Count = 164 // Count = 165 // Count = 166 // Count = 167 // Count = 168 // Had an NaN in this model run // Count = 169 // Count = 170 // Count = 171 // Count = 172 // Count = 173 // Count = 174 // Count = 175 // Count = 176 // Count = 177 // Count = 178 // Count = 179 // Count = 180 // Count = 181 // Count = 182 // Count = 183 // Count = 184 // Count = 185 // Count = 186 // Count = 187 // Count = 188 // Count = 189 // Count = 190 // Count = 191 // Count = 192 // Count = 193 // Count = 194 // Count = 195 // Count = 196 // Count = 197 // Count = 198 // Count = 199 // Count = 200 // Count = 201 // Count = 202 // Count = 203 // Count = 204 // Count = 205 // Count = 206 // Count = 207 // Count = 208 // Count = 209 // Count = 210 // Count = 211 // Count = 212 // Count = 213 // Count = 214 // Count = 215 // Count = 216 // Had an NaN in this model run // Count = 217 // Count = 218 // Count = 219 // Count = 220 // Count = 221 // Count = 222 // Count = 223 // Count = 224 // Count = 225 // Count = 226 // Had an NaN in this model run // Count = 227 // Count = 228 // Count = 229 // Count = 230 // Count = 231 // Count = 232 // Count = 233 // Count = 234 // Had an NaN in this model run // Count = 235 // Count = 236 // Count = 237 // Count = 238 // Count = 239 // Count = 240 // Count = 241 // Count = 242 // Count = 243 // Count = 244 // Count = 245 // Count = 246 // Count = 247 // Count = 248 // Count = 249 // Count = 250 // Count = 251 // Count = 252 // Count = 253 // Count = 254 // Count = 255 // Count = 256 // Count = 257 // Count = 258 // Count = 259 // Count = 260 // Count = 261 // Count = 262 // Count = 263 // Count = 264 // Count = 265 // Count = 266 // Count = 267 // Count = 268 // Count = 269 // Count = 270 // Count = 271 // Count = 272 // Count = 273 // Count = 274 // Count = 275 // Count = 276 // Count = 277 // Count = 278 // Count = 279 // Had an NaN in this model run // Count = 280 // Count = 281 // Count = 282 // Count = 283 // Count = 284 // Count = 285 // Count = 286 // Count = 287 // Count = 288 // Count = 289 // Count = 290 // Count = 291 // Count = 292 // Count = 293 // Count = 294 // Count = 295 // Count = 296 // Count = 297 // Count = 298 // Count = 299 // Count = 300 // Had an NaN in this model run // Count = 301 // Count = 302 // Count = 303 // Count = 304 // Count = 305 // Count = 306 // Count = 307 // Count = 308 // Count = 309 // Count = 310 // Count = 311 // Count = 312 // Count = 313 // Count = 314 // Count = 315 // Count = 316 // Count = 317 // Count = 318 // Count = 319 // Count = 320 // Count = 321 // Count = 322 // Count = 323 // Count = 324 // Count = 325 // Count = 326 // Count = 327 // Count = 328 // Count = 329 // Had an NaN in this model run // Count = 330 // Count = 331 // Count = 332 // Count = 333 // Count = 334 // Count = 335 // Count = 336 // Count = 337 // Count = 338 // Count = 339 // Count = 340 // Count = 341 // Had an NaN in this model run // Count = 342 // Count = 343 // Had an NaN in this model run // Count = 344 // Count = 345 // Count = 346 // Count = 347 // Count = 348 // Count = 349 // Count = 350 // Count = 351 // Count = 352 // Count = 353 // Count = 354 // Count = 355 // Count = 356 // Count = 357 // Count = 358 // Count = 359 // Count = 360 // Had an NaN in this model run // Count = 361 // Had an NaN in this model run // Count = 362 // Count = 363 // Count = 364 // Count = 365 // Count = 366 // Had an NaN in this model run // Count = 367 // Count = 368 // Count = 369 // Count = 370 // Count = 371 // Count = 372 // Count = 373 // Count = 374 // Count = 375 // Count = 376 // Had an NaN in this model run // Count = 377 // Count = 378 // Count = 379 // Count = 380 // Count = 381 // Count = 382 // Count = 383 // Count = 384 // Count = 385 // Count = 386 // Count = 387 // Had an NaN in this model run // Count = 388 // Count = 389 // Count = 390 // Count = 391 // Count = 392 // Count = 393 // Count = 394 // Had an NaN in this model run // Count = 395 // Count = 396 // Count = 397 // Count = 398 // Count = 399 // Count = 400 // Had an NaN in this model run // Count = 401 // Count = 402 // Count = 403 // Count = 404 // Count = 405 // Count = 406 // Count = 407 // Count = 408 // Count = 409 // Count = 410 // Count = 411 // Count = 412 // Count = 413 // Count = 414 // Count = 415 // Count = 416 // Count = 417 // Count = 418 // Count = 419 // Count = 420 // Count = 421 // Count = 422 // Count = 423 // Count = 424 // Count = 425 // Count = 426 // Count = 427 // Count = 428 // Count = 429 // Count = 430 // Count = 431 // Count = 432 // Count = 433 // Count = 434 // Count = 435 // Count = 436 // Count = 437 // Count = 438 // Count = 439 // Count = 440 // Count = 441 // Count = 442 // Count = 443 // Count = 444 // Count = 445 // Count = 446 // Count = 447 // Count = 448 // Count = 449 // Count = 450 // Count = 451 // Count = 452 // Count = 453 // Count = 454 // Count = 455 // Count = 456 // Count = 457 // Count = 458 // Count = 459 // Count = 460 // Count = 461 // Count = 462 // Count = 463 // Count = 464 // Count = 465 // Count = 466 // Count = 467 // Count = 468 // Count = 469 // Count = 470 // Count = 471 // Count = 472 // Count = 473 // Count = 474 // Count = 475 // Count = 476 // Count = 477 // Count = 478 // Count = 479 // Count = 480 // Count = 481 // Count = 482 // Count = 483 // Count = 484 // Count = 485 // Count = 486 // Count = 487 // Count = 488 // Count = 489 // Count = 490 // Count = 491 // Count = 492 // Count = 493 // Count = 494 // Count = 495 // Had an NaN in this model run // Count = 496 // Count = 497 // Count = 498 // Count = 499 // Count = 500 // Count = 501 // Count = 502 // Count = 503 // Count = 504 // Count = 505 // Count = 506 // Count = 507 // Count = 508 // Count = 509 // Count = 510 // Count = 511 // Count = 512 // Count = 513 // Count = 514 // Count = 515 // Count = 516 // Count = 517 // Count = 518 // Count = 519 // Count = 520 // Count = 521 // Count = 522 // Count = 523 // Count = 524 // Count = 525 // Count = 526 // Count = 527 // Count = 528 // Count = 529 // Count = 530 // Count = 531 // Count = 532 // Count = 533 // Count = 534 // Count = 535 // Count = 536 // Count = 537 // Count = 538 // Count = 539 // Count = 540 // Count = 541 // Count = 542 // Count = 543 // Count = 544 // Count = 545 // Count = 546 // Count = 547 // Count = 548 // Count = 549 // Count = 550 // Count = 551 // Count = 552 // Count = 553 // Count = 554 // Count = 555 // Count = 556 // Count = 557 // Count = 558 // Count = 559 // Count = 560 // Count = 561 // Count = 562 // Count = 563 // Count = 564 // Count = 565 // Count = 566 // Count = 567 // Count = 568 // Count = 569 // Count = 570 // Count = 571 // Count = 572 // Count = 573 // Count = 574 // Count = 575 // Count = 576 // Count = 577 // Count = 578 // Count = 579 // Count = 580 // Count = 581 // Count = 582 // Count = 583 // Count = 584 // Count = 585 // Count = 586 // Count = 587 // Count = 588 // Count = 589 // Count = 590 // Count = 591 // Count = 592 // Count = 593 // Count = 594 // Count = 595 // Count = 596 // Count = 597 // Count = 598 // Count = 599 // Count = 600 // Count = 601 // Count = 602 // Count = 603 // Count = 604 // Count = 605 &par583 &s1 &Score 9.6962403E-4 &NumFunctionCalls 51 &IteratorScore 0.6969707 &FPARS &H_dsl 27.979097 1.0 100.0 Linear &K_MAPKPdsl 0.2599381 0.1 1.0 Logarithmic &nu_MAPKPdsl 5.0251293 1.0 8.0 Linear &H_DSL 27.739962 10.0 120.0 Logarithmic &r_DSLN 0.09116472 0.01 1.0 Logarithmic &maxN 0.1559129 0.1 10.0 Logarithmic &H_NDSL 22.866407 10.0 120.0 Logarithmic &maxDSL 1.0265477 0.1 10.0 Logarithmic &H_N 95.302635 10.0 120.0 Logarithmic &K_MAPKPn 0.081101365 0.01 1.0 Logarithmic &nu_MAPKPn 6.8776197 1.0 8.0 Linear &H_N_min 15.440714 1.0 40.0 Logarithmic &Final_N 0.22318578 0.0 1.0 Linear &H_NI 20.12887 10.0 120.0 Logarithmic &endo_NI 0.8531549 0.01 1.0 Logarithmic &H_lip-1 67.2585 1.0 100.0 Linear &K_NIlip-1 0.11818417 0.1 1.0 Logarithmic &nu_NIlip-1 2.175788 1.0 8.0 Linear &H_LIP-1 15.662388 10.0 120.0 Logarithmic &H_dep-1 46.387096 1.0 100.0 Linear &K_ACTdep 0.81037635 0.01 1.0 Linear &nu_ACTdep 1.1123425 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.10282287 0.1 1.0 Logarithmic &nu_MAPKPdep-1 4.943335 1.0 8.0 Linear &H_DEP-1 11.145645 10.0 120.0 Logarithmic &H_ER 13.165985 10.0 120.0 Logarithmic &Final_ER 0.92586094 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.91716963 0.01 1.0 Logarithmic &K_DEP-1 0.15571947 0.1 1.0 Logarithmic &nu_DEP-1 3.7216635 1.0 8.0 Linear &endo_ERAI 0.024932548 0.01 1.0 Logarithmic &H_ERAI 38.67937 10.0 120.0 Logarithmic &H_MAPK 71.22537 10.0 120.0 Logarithmic &Final_MAPK 0.7381875 0.1 1.0 Linear &max_LIP-1mapk 0.47827348 0.01 1.0 Logarithmic &K_LIP-1 0.1317244 0.1 1.0 Logarithmic &nu_LIP-1 3.3034985 1.0 8.0 Linear &max_ERAImapk 0.26285768 0.01 1.0 Logarithmic &K_ERAI 0.7326367 0.1 1.0 Logarithmic &nu_ERAI 4.857273 1.0 8.0 Linear &endFPARS // Count = 606 // Count = 607 // Had an NaN in this model run // Count = 608 // Count = 609 // Count = 610 // Count = 611 // Count = 612 // Count = 613 // Count = 614 // Count = 615 // Count = 616 // Count = 617 // Count = 618 // Count = 619 // Count = 620 // Count = 621 // Count = 622 // Count = 623 // Count = 624 // Count = 625 // Count = 626 // Count = 627 // Count = 628 // Count = 629 // Count = 630 // Count = 631 // Count = 632 // Count = 633 // Count = 634 // Count = 635 // Count = 636 // Count = 637 // Count = 638 // Count = 639 // Count = 640 // Count = 641 // Count = 642 // Count = 643 // Count = 644 // Count = 645 // Count = 646 // Count = 647 // Count = 648 // Count = 649 // Count = 650 // Count = 651 // Count = 652 // Count = 653 // Count = 654 // Count = 655 // Count = 656 // Count = 657 // Count = 658 // Count = 659 // Count = 660 // Count = 661 // Count = 662 // Count = 663 // Count = 664 // Count = 665 // Count = 666 // Count = 667 // Count = 668 // Count = 669 // Count = 670 // Count = 671 // Count = 672 // Count = 673 // Count = 674 // Count = 675 // Count = 676 // Count = 677 // Count = 678 // Count = 679 // Count = 680 // Count = 681 // Count = 682 // Count = 683 // Count = 684 // Count = 685 // Count = 686 // Count = 687 // Count = 688 // Count = 689 // Count = 690 // Count = 691 // Count = 692 // Count = 693 // Count = 694 // Count = 695 // Count = 696 // Count = 697 // Count = 698 // Count = 699 // Count = 700 // Count = 701 // Count = 702 // Count = 703 // Count = 704 // Had an NaN in this model run // Count = 705 // Count = 706 // Count = 707 // Count = 708 // Count = 709 // Count = 710 // Count = 711 // Count = 712 // Count = 713 // Count = 714 // Count = 715 // Count = 716 // Count = 717 // Had an NaN in this model run // Count = 718 // Count = 719 // Count = 720 // Count = 721 // Count = 722 // Count = 723 // Count = 724 // Count = 725 // Count = 726 // Count = 727 // Count = 728 // Count = 729 // Count = 730 // Count = 731 // Count = 732 // Count = 733 // Count = 734 // Count = 735 // Count = 736 // Count = 737 // Had an NaN in this model run // Count = 738 // Count = 739 // Count = 740 // Count = 741 // Count = 742 // Count = 743 // Had an NaN in this model run // Count = 744 // Count = 745 // Count = 746 // Count = 747 // Count = 748 // Count = 749 // Count = 750 // Count = 751 // Count = 752 // Count = 753 // Count = 754 // Count = 755 // Count = 756 // Count = 757 // Count = 758 // Count = 759 // Count = 760 // Count = 761 // Count = 762 // Count = 763 // Count = 764 // Had an NaN in this model run // Count = 765 // Count = 766 // Count = 767 // Count = 768 // Count = 769 // Count = 770 // Count = 771 // Count = 772 // Count = 773 // Count = 774 // Count = 775 // Count = 776 // Count = 777 // Had an NaN in this model run // Count = 778 // Count = 779 // Count = 780 // Count = 781 // Count = 782 // Count = 783 // Count = 784 // Count = 785 // Count = 786 // Count = 787 // Count = 788 // Count = 789 // Count = 790 // Count = 791 // Count = 792 &par763 &s1 &Score 0.002020839 &NumFunctionCalls 51 &IteratorScore -3.0669255 &FPARS &H_dsl 29.217623 1.0 100.0 Linear &K_MAPKPdsl 0.29827362 0.1 1.0 Logarithmic &nu_MAPKPdsl 2.3153005 1.0 8.0 Linear &H_DSL 11.262554 10.0 120.0 Logarithmic &r_DSLN 0.7856446 0.01 1.0 Logarithmic &maxN 0.21142198 0.1 10.0 Logarithmic &H_NDSL 10.206035 10.0 120.0 Logarithmic &maxDSL 0.5709149 0.1 10.0 Logarithmic &H_N 52.37308 10.0 120.0 Logarithmic &K_MAPKPn 0.11963778 0.01 1.0 Logarithmic &nu_MAPKPn 1.3049285 1.0 8.0 Linear &H_N_min 9.578864 1.0 40.0 Logarithmic &Final_N 0.6741013 0.0 1.0 Linear &H_NI 30.536762 10.0 120.0 Logarithmic &endo_NI 0.015234469 0.01 1.0 Logarithmic &H_lip-1 32.82305 1.0 100.0 Linear &K_NIlip-1 0.36778858 0.1 1.0 Logarithmic &nu_NIlip-1 6.0792565 1.0 8.0 Linear &H_LIP-1 101.32955 10.0 120.0 Logarithmic &H_dep-1 78.95049 1.0 100.0 Linear &K_ACTdep 0.23001729 0.01 1.0 Linear &nu_ACTdep 1.1063309 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.14388144 0.1 1.0 Logarithmic &nu_MAPKPdep-1 7.27717 1.0 8.0 Linear &H_DEP-1 24.539984 10.0 120.0 Logarithmic &H_ER 18.759638 10.0 120.0 Logarithmic &Final_ER 0.40221184 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.4079352 0.01 1.0 Logarithmic &K_DEP-1 0.103012 0.1 1.0 Logarithmic &nu_DEP-1 4.1214247 1.0 8.0 Linear &endo_ERAI 0.015730603 0.01 1.0 Logarithmic &H_ERAI 79.35576 10.0 120.0 Logarithmic &H_MAPK 64.336975 10.0 120.0 Logarithmic &Final_MAPK 0.8040966 0.1 1.0 Linear &max_LIP-1mapk 0.046937168 0.01 1.0 Logarithmic &K_LIP-1 0.14381625 0.1 1.0 Logarithmic &nu_LIP-1 4.9510455 1.0 8.0 Linear &max_ERAImapk 0.18863343 0.01 1.0 Logarithmic &K_ERAI 0.41259137 0.1 1.0 Logarithmic &nu_ERAI 6.6303077 1.0 8.0 Linear &endFPARS // Count = 793 // Count = 794 // Count = 795 // Had an NaN in this model run // Count = 796 // Count = 797 // Count = 798 // Count = 799 // Count = 800 // Count = 801 // Count = 802 // Count = 803 // Count = 804 // Count = 805 // Count = 806 // Count = 807 // Count = 808 // Had an NaN in this model run // Count = 809 // Count = 810 // Count = 811 // Count = 812 // Count = 813 // Had an NaN in this model run // Count = 814 // Count = 815 // Count = 816 // Count = 817 // Count = 818 // Count = 819 // Count = 820 // Count = 821 // Count = 822 // Count = 823 // Count = 824 // Count = 825 // Count = 826 // Count = 827 // Had an NaN in this model run // Count = 828 // Count = 829 // Count = 830 // Count = 831 // Count = 832 // Count = 833 // Count = 834 // Count = 835 // Count = 836 // Count = 837 // Count = 838 // Count = 839 // Count = 840 // Count = 841 // Count = 842 // Count = 843 // Count = 844 // Count = 845 // Count = 846 // Count = 847 // Count = 848 // Count = 849 // Count = 850 // Count = 851 // Count = 852 // Count = 853 // Count = 854 // Count = 855 // Count = 856 // Count = 857 // Count = 858 // Count = 859 // Count = 860 // Count = 861 // Count = 862 // Count = 863 // Count = 864 // Count = 865 // Count = 866 // Count = 867 // Count = 868 // Count = 869 // Count = 870 // Count = 871 // Count = 872 // Count = 873 // Count = 874 // Count = 875 // Count = 876 // Count = 877 // Count = 878 // Count = 879 // Count = 880 // Count = 881 // Count = 882 // Count = 883 // Count = 884 // Count = 885 // Count = 886 // Count = 887 // Count = 888 // Count = 889 // Count = 890 // Count = 891 // Count = 892 // Count = 893 // Count = 894 // Count = 895 // Count = 896 // Count = 897 // Count = 898 // Count = 899 // Count = 900 // Count = 901 // Count = 902 // Count = 903 // Count = 904 // Count = 905 // Count = 906 // Count = 907 // Count = 908 // Count = 909 // Count = 910 // Count = 911 // Count = 912 // Count = 913 // Count = 914 // Count = 915 // Count = 916 // Count = 917 &par884 &s1 &Score 0.0017129632 &NumFunctionCalls 51 &IteratorScore -22.948631 &FPARS &H_dsl 20.214008 1.0 100.0 Linear &K_MAPKPdsl 0.8624648 0.1 1.0 Logarithmic &nu_MAPKPdsl 2.6852365 1.0 8.0 Linear &H_DSL 78.799065 10.0 120.0 Logarithmic &r_DSLN 0.47371417 0.01 1.0 Logarithmic &maxN 0.11560407 0.1 10.0 Logarithmic &H_NDSL 12.514869 10.0 120.0 Logarithmic &maxDSL 9.208423 0.1 10.0 Logarithmic &H_N 16.614351 10.0 120.0 Logarithmic &K_MAPKPn 0.13126402 0.01 1.0 Logarithmic &nu_MAPKPn 7.445176 1.0 8.0 Linear &H_N_min 3.1767085 1.0 40.0 Logarithmic &Final_N 0.67308956 0.0 1.0 Linear &H_NI 51.16182 10.0 120.0 Logarithmic &endo_NI 0.53407985 0.01 1.0 Logarithmic &H_lip-1 91.23244 1.0 100.0 Linear &K_NIlip-1 0.27379474 0.1 1.0 Logarithmic &nu_NIlip-1 7.9527645 1.0 8.0 Linear &H_LIP-1 46.769516 10.0 120.0 Logarithmic &H_dep-1 25.63844 1.0 100.0 Linear &K_ACTdep 0.7394392 0.01 1.0 Linear &nu_ACTdep 3.7722855 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.2122959 0.1 1.0 Logarithmic &nu_MAPKPdep-1 4.647202 1.0 8.0 Linear &H_DEP-1 11.819585 10.0 120.0 Logarithmic &H_ER 87.636925 10.0 120.0 Logarithmic &Final_ER 0.38001972 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.8649357 0.01 1.0 Logarithmic &K_DEP-1 0.19010265 0.1 1.0 Logarithmic &nu_DEP-1 7.479912 1.0 8.0 Linear &endo_ERAI 0.013267334 0.01 1.0 Logarithmic &H_ERAI 64.30976 10.0 120.0 Logarithmic &H_MAPK 63.775894 10.0 120.0 Logarithmic &Final_MAPK 0.7583971 0.1 1.0 Linear &max_LIP-1mapk 0.025480673 0.01 1.0 Logarithmic &K_LIP-1 0.25377277 0.1 1.0 Logarithmic &nu_LIP-1 5.1978025 1.0 8.0 Linear &max_ERAImapk 0.089138635 0.01 1.0 Logarithmic &K_ERAI 0.12363027 0.1 1.0 Logarithmic &nu_ERAI 2.023674 1.0 8.0 Linear &endFPARS // Count = 918 // Count = 919 // Count = 920 // Count = 921 // Count = 922 // Count = 923 // Count = 924 // Count = 925 // Count = 926 // Count = 927 // Count = 928 // Count = 929 // Count = 930 // Count = 931 // Count = 932 // Count = 933 // Count = 934 // Count = 935 // Count = 936 // Count = 937 // Count = 938 // Count = 939 // Count = 940 // Count = 941 // Count = 942 // Count = 943 // Count = 944 // Count = 945 // Count = 946 // Count = 947 // Count = 948 // Count = 949 // Count = 950 // Count = 951 // Count = 952 // Count = 953 // Count = 954 // Count = 955 // Count = 956 // Count = 957 // Count = 958 // Count = 959 // Count = 960 // Count = 961 // Count = 962 // Count = 963 // Count = 964 // Count = 965 // Count = 966 // Count = 967 // Count = 968 // Count = 969 // Count = 970 // Count = 971 // Count = 972 // Count = 973 // Count = 974 // Count = 975 // Count = 976 // Count = 977 // Count = 978 // Count = 979 // Count = 980 // Count = 981 // Had an NaN in this model run // Count = 982 // Count = 983 // Count = 984 // Count = 985 // Count = 986 // Count = 987 // Count = 988 // Count = 989 // Count = 990 // Count = 991 // Count = 992 // Count = 993 // Had an NaN in this model run // Count = 994 // Count = 995 // Count = 996 // Count = 997 // Count = 998 // Count = 999 // Count = 1000 // Count = 1001 &par966 &s1 &Score 0.0012140565 &NumFunctionCalls 51 &IteratorScore -78.86595 &FPARS &H_dsl 98.25468 1.0 100.0 Linear &K_MAPKPdsl 0.64815575 0.1 1.0 Logarithmic &nu_MAPKPdsl 2.9634845 1.0 8.0 Linear &H_DSL 102.42993 10.0 120.0 Logarithmic &r_DSLN 0.025798418 0.01 1.0 Logarithmic &maxN 0.7227031 0.1 10.0 Logarithmic &H_NDSL 29.845995 10.0 120.0 Logarithmic &maxDSL 7.69915 0.1 10.0 Logarithmic &H_N 17.4858 10.0 120.0 Logarithmic &K_MAPKPn 0.18891723 0.01 1.0 Logarithmic &nu_MAPKPn 7.232514 1.0 8.0 Linear &H_N_min 5.5903177 1.0 40.0 Logarithmic &Final_N 0.9391172 0.0 1.0 Linear &H_NI 34.63655 10.0 120.0 Logarithmic &endo_NI 0.09276695 0.01 1.0 Logarithmic &H_lip-1 24.119646 1.0 100.0 Linear &K_NIlip-1 0.3370239 0.1 1.0 Logarithmic &nu_NIlip-1 4.3441043 1.0 8.0 Linear &H_LIP-1 27.693064 10.0 120.0 Logarithmic &H_dep-1 76.64648 1.0 100.0 Linear &K_ACTdep 0.93976957 0.01 1.0 Linear &nu_ACTdep 1.533408 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.9331468 0.1 1.0 Logarithmic &nu_MAPKPdep-1 7.6742597 1.0 8.0 Linear &H_DEP-1 30.557968 10.0 120.0 Logarithmic &H_ER 11.426848 10.0 120.0 Logarithmic &Final_ER 0.049872935 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.2590724 0.01 1.0 Logarithmic &K_DEP-1 0.15552878 0.1 1.0 Logarithmic &nu_DEP-1 5.897581 1.0 8.0 Linear &endo_ERAI 0.098588474 0.01 1.0 Logarithmic &H_ERAI 84.950745 10.0 120.0 Logarithmic &H_MAPK 18.61393 10.0 120.0 Logarithmic &Final_MAPK 0.46621287 0.1 1.0 Linear &max_LIP-1mapk 0.02361473 0.01 1.0 Logarithmic &K_LIP-1 0.16365501 0.1 1.0 Logarithmic &nu_LIP-1 5.9153438 1.0 8.0 Linear &max_ERAImapk 0.2065923 0.01 1.0 Logarithmic &K_ERAI 0.22810018 0.1 1.0 Logarithmic &nu_ERAI 5.1078706 1.0 8.0 Linear &endFPARS // Count = 1002 // Count = 1003 // Count = 1004 // Count = 1005 // Count = 1006 // Count = 1007 // Count = 1008 // Count = 1009 // Count = 1010 // Count = 1011 // Count = 1012 // Count = 1013 // Count = 1014 // Count = 1015 // Count = 1016 // Count = 1017 // Count = 1018 // Count = 1019 // Count = 1020 // Count = 1021 // Count = 1022 // Count = 1023 // Had an NaN in this model run // Count = 1024 // Count = 1025 // Count = 1026 // Count = 1027 // Count = 1028 // Count = 1029 // Count = 1030 // Count = 1031 // Count = 1032 // Count = 1033 // Count = 1034 // Count = 1035 // Count = 1036 // Count = 1037 // Count = 1038 // Count = 1039 // Count = 1040 // Count = 1041 // Count = 1042 // Count = 1043 // Count = 1044 // Count = 1045 // Count = 1046 // Count = 1047 &par1011 &s1 &Score 0.0012058538 &NumFunctionCalls 51 &IteratorScore -49.674934 &FPARS &H_dsl 38.45149 1.0 100.0 Linear &K_MAPKPdsl 0.41135266 0.1 1.0 Logarithmic &nu_MAPKPdsl 3.0470657 1.0 8.0 Linear &H_DSL 101.09033 10.0 120.0 Logarithmic &r_DSLN 0.59742415 0.01 1.0 Logarithmic &maxN 5.5202045 0.1 10.0 Logarithmic &H_NDSL 10.608478 10.0 120.0 Logarithmic &maxDSL 0.8771671 0.1 10.0 Logarithmic &H_N 11.123241 10.0 120.0 Logarithmic &K_MAPKPn 0.6994472 0.01 1.0 Logarithmic &nu_MAPKPn 1.1901087 1.0 8.0 Linear &H_N_min 1.2884052 1.0 40.0 Logarithmic &Final_N 0.89305085 0.0 1.0 Linear &H_NI 76.43539 10.0 120.0 Logarithmic &endo_NI 0.013652489 0.01 1.0 Logarithmic &H_lip-1 12.340597 1.0 100.0 Linear &K_NIlip-1 0.2528622 0.1 1.0 Logarithmic &nu_NIlip-1 1.9595542 1.0 8.0 Linear &H_LIP-1 17.211437 10.0 120.0 Logarithmic &H_dep-1 73.04357 1.0 100.0 Linear &K_ACTdep 0.8069803 0.01 1.0 Linear &nu_ACTdep 5.9892735 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.67490834 0.1 1.0 Logarithmic &nu_MAPKPdep-1 6.2500887 1.0 8.0 Linear &H_DEP-1 61.444206 10.0 120.0 Logarithmic &H_ER 11.507111 10.0 120.0 Logarithmic &Final_ER 0.10173774 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.025969438 0.01 1.0 Logarithmic &K_DEP-1 0.17092872 0.1 1.0 Logarithmic &nu_DEP-1 5.5302486 1.0 8.0 Linear &endo_ERAI 0.8439285 0.01 1.0 Logarithmic &H_ERAI 53.202797 10.0 120.0 Logarithmic &H_MAPK 52.122223 10.0 120.0 Logarithmic &Final_MAPK 0.4360519 0.1 1.0 Linear &max_LIP-1mapk 0.48986238 0.01 1.0 Logarithmic &K_LIP-1 0.13165201 0.1 1.0 Logarithmic &nu_LIP-1 3.2173977 1.0 8.0 Linear &max_ERAImapk 0.17232504 0.01 1.0 Logarithmic &K_ERAI 0.71491826 0.1 1.0 Logarithmic &nu_ERAI 7.186768 1.0 8.0 Linear &endFPARS // Count = 1048 // Count = 1049 // Count = 1050 // Count = 1051 // Count = 1052 // Count = 1053 // Count = 1054 // Count = 1055 // Count = 1056 // Count = 1057 // Had an NaN in this model run // Count = 1058 // Count = 1059 // Count = 1060 // Count = 1061 // Count = 1062 // Count = 1063 // Count = 1064 // Count = 1065 // Count = 1066 // Count = 1067 // Count = 1068 // Count = 1069 // Count = 1070 // Count = 1071 // Count = 1072 // Count = 1073 // Count = 1074 // Count = 1075 // Count = 1076 // Count = 1077 // Count = 1078 // Count = 1079 // Count = 1080 // Count = 1081 // Count = 1082 // Count = 1083 // Count = 1084 // Count = 1085 // Count = 1086 // Count = 1087 // Count = 1088 // Count = 1089 // Count = 1090 // Count = 1091 // Count = 1092 // Count = 1093 // Count = 1094 // Count = 1095 // Count = 1096 // Count = 1097 // Count = 1098 // Count = 1099 // Count = 1100 // Count = 1101 // Count = 1102 // Count = 1103 // Count = 1104 // Count = 1105 // Count = 1106 // Count = 1107 // Count = 1108 // Count = 1109 // Count = 1110 // Count = 1111 // Count = 1112 &par1075 &s1 &Score 8.693437E-4 &NumFunctionCalls 51 &IteratorScore -2754.914 &FPARS &H_dsl 13.553253 1.0 100.0 Linear &K_MAPKPdsl 0.24409758 0.1 1.0 Logarithmic &nu_MAPKPdsl 6.3370886 1.0 8.0 Linear &H_DSL 47.88866 10.0 120.0 Logarithmic &r_DSLN 0.0399288 0.01 1.0 Logarithmic &maxN 0.64583814 0.1 10.0 Logarithmic &H_NDSL 11.918329 10.0 120.0 Logarithmic &maxDSL 0.8656996 0.1 10.0 Logarithmic &H_N 31.493114 10.0 120.0 Logarithmic &K_MAPKPn 0.46419606 0.01 1.0 Logarithmic &nu_MAPKPn 6.7841716 1.0 8.0 Linear &H_N_min 11.179415 1.0 40.0 Logarithmic &Final_N 0.39340013 0.0 1.0 Linear &H_NI 15.440109 10.0 120.0 Logarithmic &endo_NI 0.1257563 0.01 1.0 Logarithmic &H_lip-1 41.433105 1.0 100.0 Linear &K_NIlip-1 0.29194355 0.1 1.0 Logarithmic &nu_NIlip-1 2.2077975 1.0 8.0 Linear &H_LIP-1 21.071339 10.0 120.0 Logarithmic &H_dep-1 21.66052 1.0 100.0 Linear &K_ACTdep 0.20607625 0.01 1.0 Linear &nu_ACTdep 2.387667 1.0 10.0 Logarithmic &K_MAPKPdep-1 0.10449238 0.1 1.0 Logarithmic &nu_MAPKPdep-1 2.2246075 1.0 8.0 Linear &H_DEP-1 82.45081 10.0 120.0 Logarithmic &H_ER 13.705786 10.0 120.0 Logarithmic &Final_ER 0.6789238 0.0 1.0 Linear &r_ERera 10.000017 0.1 10.0 Logarithmic &max_DEPera 0.17889453 0.01 1.0 Logarithmic &K_DEP-1 0.13965796 0.1 1.0 Logarithmic &nu_DEP-1 7.0168104 1.0 8.0 Linear &endo_ERAI 0.03284623 0.01 1.0 Logarithmic &H_ERAI 70.66245 10.0 120.0 Logarithmic &H_MAPK 12.468682 10.0 120.0 Logarithmic &Final_MAPK 0.8804371 0.1 1.0 Linear &max_LIP-1mapk 0.014334913 0.01 1.0 Logarithmic &K_LIP-1 0.18228579 0.1 1.0 Logarithmic &nu_LIP-1 1.8329972 1.0 8.0 Linear &max_ERAImapk 0.03461171 0.01 1.0 Logarithmic &K_ERAI 0.12559037 0.1 1.0 Logarithmic &nu_ERAI 4.3007917 1.0 8.0 Linear &endFPARS // Count = 1113 // Had an NaN in this model run // Count = 1114 // Count = 1115 // Count = 1116 // Count = 1117 // Count = 1118 // Count = 1119 // Count = 1120 // Count = 1121 // Count = 1122 // Count = 1123 // Count = 1124 // Count = 1125 // Count = 1126 // Had an NaN in this model run // Count = 1127 // Count = 1128 // Count = 1129 // Count = 1130 // Count = 1131 // Count = 1132 // Count = 1133 // Count = 1134 // Count = 1135 // Count = 1136 // Count = 1137 // Count = 1138 // Count = 1139 // Count = 1140 // Count = 1141 // Count = 1142 // Count = 1143 // Count = 1144 // Count = 1145 // Count = 1146 // Count = 1147 // Count = 1148 // Count = 1149 // Count = 1150 // Count = 1151 // Count = 1152 // Count = 1153 // Count = 1154 // Count = 1155 // Count = 1156 // Count = 1157 // Count = 1158 // Count = 1159 // Count = 1160 // Count = 1161 // Count = 1162 // Had an NaN in this model run // Count = 1163 // Count = 1164 // Count = 1165 // Count = 1166 // Count = 1167 // Count = 1168 // Count = 1169 // Count = 1170 // Count = 1171 // Count = 1172 // Count = 1173 // Count = 1174 // Count = 1175 // Count = 1176 // Count = 1177 &UberIterator tried 1177 random picks and found 6 good ones