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Estrada index

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For a general graph, the index can be obtained as the sum of the subgraph centralities of all nodes in the graph. The subgraph centrality of node
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of the protein backbone. This index of degree of folding has found multiple applications in the study of protein functions and
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as a measure of the degree of folding of a protein, which is represented as a path-graph weighted by the dihedral or
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Estrada, E.; Rodríguez-Velázquez, J.A. (2005). "Subgraph centrality in complex networks".
37: 29: 828: 745: 611: 591: 542:{\displaystyle \operatorname {EE} (i)=(e^{A})_{ii}=\sum _{j=1}^{n}^{2}e^{\lambda _{j}}} 293: 194: 753: 402:{\displaystyle \operatorname {EE} (i)=\sum _{k=0}^{\infty }{\frac {(A^{k})_{ii}}{k!}}} 895: 852: 836: 785: 768: 844: 181:{\displaystyle \lambda _{1}\geq \lambda _{2}\geq \cdots \geq \lambda _{n}} 883: 866: 819: 280:{\displaystyle \operatorname {EE} (G)=\sum _{j=1}^{n}e^{\lambda _{j}}} 47:
The name "Estrada index" was introduced by de la Peña et al. in 2007.
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Estrada, E. (2000). "Characterization of 3D molecular structure".
708:{\displaystyle \operatorname {EE} (G)=\operatorname {tr} (e^{A})} 188:
be a non-increasing ordering of the eigenvalues of its
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The subgraph centrality has the following closed form
664: 634: 614: 594: 558: 421: 319: 296: 220: 197: 135: 99: 61: 707: 647: 620: 600: 580: 541: 401: 302: 279: 203: 180: 121: 85: 767:de la Peña, J. A.; Gutman, I.; Rada, J. (2007). 628:th eigenvector associated with the eigenvalue 8: 882: 818: 800: 798: 796: 784: 696: 663: 639: 633: 613: 593: 563: 557: 531: 526: 516: 497: 484: 473: 457: 447: 420: 379: 369: 359: 353: 342: 318: 295: 269: 264: 254: 243: 219: 196: 172: 153: 140: 134: 108: 100: 98: 60: 655:. It is straightforward to realise that 724: 867:"More on the Laplacian Estrada Index" 7: 354: 211:. The Estrada index is defined as 14: 32:. The index was first defined by 865:Zhou, Bo; Gutman, Ivan (2009). 581:{\displaystyle \varphi _{j}(i)} 769:"Estimating the Estrada index" 702: 689: 677: 671: 575: 569: 513: 509: 503: 490: 454: 440: 434: 428: 376: 362: 332: 326: 233: 227: 109: 101: 80: 68: 1: 754:10.1016/S0009-2614(00)00158-5 648:{\displaystyle \lambda _{j}} 42:protein-ligand interactions 928: 837:10.1103/PhysRevE.71.056103 871:Appl. Anal. Discrete Math 786:10.1016/j.laa.2007.06.020 86:{\displaystyle G=(V,E)} 902:Mathematical chemistry 709: 649: 622: 602: 582: 543: 489: 403: 358: 304: 281: 259: 205: 182: 123: 87: 710: 650: 623: 603: 583: 544: 469: 404: 338: 305: 282: 239: 206: 183: 124: 122:{\displaystyle |V|=n} 88: 18:chemical graph theory 884:10.2298/AADM0902371Z 662: 632: 612: 592: 556: 419: 317: 294: 218: 195: 133: 97: 59: 829:2005PhRvE..71e6103E 773:Linear Algebra Appl 746:2000CPL...319..713E 93:be a graph of size 705: 645: 618: 598: 578: 539: 399: 300: 277: 201: 178: 119: 83: 621:{\displaystyle j} 608:th entry of the 601:{\displaystyle i} 397: 303:{\displaystyle i} 204:{\displaystyle A} 26:topological index 919: 912:Graph invariants 888: 886: 857: 856: 822: 820:cond-mat/0504730 802: 791: 790: 788: 764: 758: 757: 734:Chem. Phys. Lett 729: 714: 712: 711: 706: 701: 700: 654: 652: 651: 646: 644: 643: 627: 625: 624: 619: 607: 605: 604: 599: 587: 585: 584: 579: 568: 567: 548: 546: 545: 540: 538: 537: 536: 535: 521: 520: 502: 501: 488: 483: 465: 464: 452: 451: 408: 406: 405: 400: 398: 396: 388: 387: 386: 374: 373: 360: 357: 352: 309: 307: 306: 301: 286: 284: 283: 278: 276: 275: 274: 273: 258: 253: 210: 208: 207: 202: 190:adjacency matrix 187: 185: 184: 179: 177: 176: 158: 157: 145: 144: 128: 126: 125: 120: 112: 104: 92: 90: 89: 84: 38:torsional angles 927: 926: 922: 921: 920: 918: 917: 916: 907:Cheminformatics 892: 891: 864: 861: 860: 804: 803: 794: 766: 765: 761: 731: 730: 726: 721: 692: 660: 659: 635: 630: 629: 610: 609: 590: 589: 559: 554: 553: 527: 522: 512: 493: 453: 443: 417: 416: 389: 375: 365: 361: 315: 314: 292: 291: 265: 260: 216: 215: 193: 192: 168: 149: 136: 131: 130: 95: 94: 57: 56: 53: 34:Ernesto Estrada 30:protein folding 12: 11: 5: 925: 923: 915: 914: 909: 904: 894: 893: 890: 889: 877:(2): 371–378. 859: 858: 792: 759: 723: 722: 720: 717: 716: 715: 704: 699: 695: 691: 688: 685: 682: 679: 676: 673: 670: 667: 642: 638: 617: 597: 577: 574: 571: 566: 562: 550: 549: 534: 530: 525: 519: 515: 511: 508: 505: 500: 496: 492: 487: 482: 479: 476: 472: 468: 463: 460: 456: 450: 446: 442: 439: 436: 433: 430: 427: 424: 410: 409: 395: 392: 385: 382: 378: 372: 368: 364: 356: 351: 348: 345: 341: 337: 334: 331: 328: 325: 322: 310:is defined as 299: 288: 287: 272: 268: 263: 257: 252: 249: 246: 242: 238: 235: 232: 229: 226: 223: 200: 175: 171: 167: 164: 161: 156: 152: 148: 143: 139: 118: 115: 111: 107: 103: 82: 79: 76: 73: 70: 67: 64: 52: 49: 13: 10: 9: 6: 4: 3: 2: 924: 913: 910: 908: 905: 903: 900: 899: 897: 885: 880: 876: 872: 868: 863: 862: 854: 850: 846: 842: 838: 834: 830: 826: 821: 816: 813:(5): 056103. 812: 808: 801: 799: 797: 793: 787: 782: 778: 774: 770: 763: 760: 755: 751: 747: 743: 739: 735: 728: 725: 718: 697: 693: 686: 683: 680: 674: 668: 665: 658: 657: 656: 640: 636: 615: 595: 572: 564: 560: 532: 528: 523: 517: 506: 498: 494: 485: 480: 477: 474: 470: 466: 461: 458: 448: 444: 437: 431: 425: 422: 415: 414: 413: 393: 390: 383: 380: 370: 366: 349: 346: 343: 339: 335: 329: 323: 320: 313: 312: 311: 297: 270: 266: 261: 255: 250: 247: 244: 240: 236: 230: 224: 221: 214: 213: 212: 198: 191: 173: 169: 165: 162: 159: 154: 150: 146: 141: 137: 116: 113: 105: 77: 74: 71: 65: 62: 50: 48: 45: 43: 39: 35: 31: 27: 23: 22:Estrada index 19: 874: 870: 810: 807:Phys. Rev. E 806: 776: 772: 762: 740:(319): 713. 737: 733: 727: 551: 411: 289: 54: 46: 21: 15: 896:Categories 719:References 51:Derivation 779:: 70–76. 687:⁡ 669:⁡ 637:λ 561:φ 529:λ 495:φ 471:∑ 426:⁡ 355:∞ 340:∑ 324:⁡ 267:λ 241:∑ 225:⁡ 170:λ 166:≥ 163:⋯ 160:≥ 151:λ 147:≥ 138:λ 845:16089598 129:and let 853:4512786 825:Bibcode 742:Bibcode 588:is the 552:where 851:  843:  20:, the 849:S2CID 815:arXiv 24:is a 841:PMID 55:Let 879:doi 833:doi 781:doi 777:427 750:doi 738:319 28:of 16:In 898:: 873:. 869:. 847:. 839:. 831:. 823:. 811:71 809:. 795:^ 775:. 771:. 748:. 736:. 684:tr 666:EE 423:EE 321:EE 222:EE 44:. 887:. 881:: 875:3 855:. 835:: 827:: 817:: 789:. 783:: 756:. 752:: 744:: 703:) 698:A 694:e 690:( 681:= 678:) 675:G 672:( 641:j 616:j 596:i 576:) 573:i 570:( 565:j 533:j 524:e 518:2 514:] 510:) 507:i 504:( 499:j 491:[ 486:n 481:1 478:= 475:j 467:= 462:i 459:i 455:) 449:A 445:e 441:( 438:= 435:) 432:i 429:( 394:! 391:k 384:i 381:i 377:) 371:k 367:A 363:( 350:0 347:= 344:k 336:= 333:) 330:i 327:( 298:i 271:j 262:e 256:n 251:1 248:= 245:j 237:= 234:) 231:G 228:( 199:A 174:n 155:2 142:1 117:n 114:= 110:| 106:V 102:| 81:) 78:E 75:, 72:V 69:( 66:= 63:G

Index

chemical graph theory
topological index
protein folding
Ernesto Estrada
torsional angles
protein-ligand interactions
adjacency matrix
Bibcode
2000CPL...319..713E
doi
10.1016/S0009-2614(00)00158-5
"Estimating the Estrada index"
doi
10.1016/j.laa.2007.06.020



arXiv
cond-mat/0504730
Bibcode
2005PhRvE..71e6103E
doi
10.1103/PhysRevE.71.056103
PMID
16089598
S2CID
4512786
"More on the Laplacian Estrada Index"
doi
10.2298/AADM0902371Z

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