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S2 (505(b)(2))

Acute Liver Failure

Library compounds whose LINCS consensus expression profiles most strongly anti-correlate one transcriptional signature associated with Acute Liver Failure, after a cytotoxicity-alignment filter and clinical-maturity ranking. Compounds our structural screen flags are labelled below rather than hidden. This is a property of that signature, not of the disease. Computational and hypothesis-generating, pending wet-lab. Method & limits →

Not tested. Twenty-three indications in our corpus hold two independently derived signatures. Comparing the twelve top candidates from each: 14 pairs shared no compound, 6 shared one, 3 shared two — indistinguishable from the 3,173 pairs built from different indications, where 60.1% likewise share nothing (p = 0.92, two-sided). But in every one of those pairs one signature was far too shallow to measure anything, so that outcome was expected before the test was run. It is not evidence that the method fails; it is evidence that we never ran a test capable of succeeding. Treat the names below as leads from one measurement, not as candidates for the disease.

Signature availability Acute Liver Failure

This indication is not ranked and not for sale. What follows is the measurement we hold and why it is not enough, published because it is the part of this work most likely to be useful to someone attempting the same thing.

SignatureDiSignAtlas DSA00023
OrganismHomo sapiens
Genes in the signature940
Of those, inside the LINCS-978 landmark set940
Position in our corpus of 118 signatures87th percentile

The signature is not small — it is measured on a different gene space. It carries 940 genes, but our score is a rank correlation computed only over those it shares with the 978-gene LINCS landmark set, and that intersection is 940. At that depth, 99.2% of draws reproduce the ranking (measured at 200 shared genes).

The 940 landmark genes this signature covers

Direction as recorded in the source signature. This is the entire overlap the score was computed over, published so you can judge whether that subset is biologically coherent for this indication and re-run it yourself.

ABCB6 ↑ABCC5 ↑ABCF1 ↑ABCF3 ↑ABHD4 ↑ABL1 ↑ACBD3 ↑ACD ↑ACLY ↑ACOT9 ↑ADAM10 ↑ADAT1 ↑ADGRE5 ↑ADGRG1 ↑ADH5 ↑ADO ↑AKAP8 ↑AKAP8L ↑AKT1 ↑ALDOA ↑AMDHD2 ↑ANKRD10 ↑ANO10 ↑ANXA7 ↑APBB2 ↑APP ↑APPBP2 ↑ARFIP2 ↑ARHGAP1 ↑ARHGEF12 ↑ARHGEF2 ↑ARID4B ↑ARID5B ↑ARL4C ↑ARNT2 ↑ARPP19 ↑ASAH1 ↑ASCC3 ↑ATF1 ↑ATF5 ↑ATF6 ↑ATG3 ↑ATMIN ↑ATP11B ↑ATP1B1 ↑ATP2C1 ↑ATP6V0B ↑ATP6V1D ↑AURKA ↑AURKB ↑AXIN1 ↑B4GAT1 ↑BACE2 ↑BAD ↑BAMBI ↑BAX ↑BCL2 ↑BCL7B ↑BECN1 ↑BHLHE40 ↑BID ↑BIRC2 ↑BIRC5 ↑BLCAP ↑BLMH ↑BLVRA ↑BMP4 ↑BNIP3 ↑BNIP3L ↑BRCA1 ↑BTK ↑BUB1B ↑BZW2 ↑C2CD2 ↑C2CD2L ↑C2CD5 ↑CAB39 ↑CALM3 ↑CALU ↑CAMSAP2 ↑CANT1 ↑CAPN1 ↑CASC3 ↑CASK ↑CASP10 ↑CASP2 ↑CASP3 ↑CASP7 ↑CAST ↑CBLB ↑CBR1 ↑CBR3 ↑CCDC85B ↑CCDC86 ↑CCDC92 ↑CCL2 ↑CCNA2 ↑CCNB1 ↑CCNB2 ↑CCND1 ↑CCND3 ↑CCNE2 ↑CCNF ↑CCNH ↑CCP110 ↑CD320 ↑CD44 ↑CD58 ↑CDC20 ↑CDC25A ↑CDC25B ↑CDC42 ↑CDC45 ↑CDCA4 ↑CDH3 ↑CDK1 ↑CDK19 ↑CDK2 ↑CDK4 ↑CDK5R1 ↑CDK6 ↑CDK7 ↑CDKN1B ↑CEBPA ↑CEBPZ ↑CENPE ↑CEP57 ↑CERK ↑CETN3 ↑CFLAR ↑CGRRF1 ↑CHEK1 ↑CHEK2 ↑CHERP ↑CHIC2 ↑CHMP4A ↑CHMP6 ↑CHN1 ↑CHP1 ↑CIAPIN1 ↑CIRBP ↑CISD1 ↑CLIC4 ↑CLPX ↑CLSTN1 ↑CLTB ↑CLTC ↑CNDP2 ↑CNOT4 ↑CNPY3 ↑COASY ↑COG2 ↑COG4 ↑COG7 ↑COL1A1 ↑COL4A1 ↑COPB2 ↑COPS7A ↑CORO1A ↑CPNE3 ↑CPSF4 ↑CREB1 ↑CREG1 ↑CRK ↑CRKL ↑CRTAP ↑CRYZ ↑CSNK1A1 ↑CSNK1E ↑CSNK2A2 ↑CSRP1 ↑CTNNAL1 ↑CTNND1 ↑CTSD ↑CTSL ↑CTTN ↑CXCR4 ↑CYB561 ↑CYCS ↑CYTH1 ↑DAG1 ↑DAXX ↑DCK ↑DCTD ↑DCUN1D4 ↑DDB2 ↑DDIT4 ↑DDR1 ↑DDX10 ↑DDX42 ↑DECR1 ↑DENND2D ↑DERA ↑DFFA ↑DFFB ↑DHDDS ↑DHRS7 ↑DHX29 ↑DLD ↑DMTF1 ↑DNAJA3 ↑DNAJB2 ↑DNAJB6 ↑DNAJC15 ↑DNM1 ↑DNM1L ↑DNMT1 ↑DNMT3A ↑DNTTIP2 ↑DPH2 ↑DRAP1 ↑DSG2 ↑DUSP11 ↑DUSP14 ↑DUSP22 ↑DUSP3 ↑DUSP4 ↑DYNLT3 ↑DYRK3 ↑E2F2 ↑EBNA1BP2 ↑ECD ↑EDN1 ↑EED ↑EFCAB14 ↑EGFR ↑EIF4EBP1 ↑EIF4G1 ↑ELAC2 ↑ELAVL1 ↑ELOVL6 ↑EML3 ↑ENOPH1 ↑EPB41L2 ↑EPHA3 ↑EPHB2 ↑EPN2 ↑ERBB2 ↑ERBB3 ↑ERO1A ↑ETS1 ↑ETV1 ↑EXOSC4 ↑EXT1 ↑EZH2 ↑FAIM ↑FAM20B ↑FAS ↑FASTKD5 ↑FAT1 ↑FBXL12 ↑FBXO11 ↑FBXO7 ↑FCHO1 ↑FEZ2 ↑FGFR2 ↑FHL2 ↑FKBP14 ↑FOSL1 ↑FOXJ3 ↑FOXO3 ↑FOXO4 ↑FPGS ↑FRS2 ↑FUT1 ↑FZD1 ↑FZD7 ↑G3BP1 ↑GAA ↑GABPB1 ↑GALE ↑GAPDH ↑GATA2 ↑GATA3 ↑GDPD5 ↑GFPT1 ↑GLI2 ↑GLOD4 ↑GMNN ↑GNA11 ↑GNA15 ↑GNAI1 ↑GNAI2 ↑GNAS ↑GNB5 ↑GNPDA1 ↑GOLT1B ↑GPATCH8 ↑GPC1 ↑GPER1 ↑GRB10 ↑GRB7 ↑GRN ↑GTF2A2 ↑GTF2E2 ↑GTPBP8 ↑HACD3 ↑HAT1 ↑HDAC2 ↑HDAC6 ↑HEATR1 ↑HERC6 ↑HES1 ↑HIF1A ↑HK1 ↑HLA-DMA ↑HMG20B ↑HMGA2 ↑HMOX1 ↑HOOK2 ↑HOXA5 ↑HS2ST1 ↑HSD17B10 ↑HSD17B11 ↑HSPA4 ↑HSPB1 ↑HSPD1 ↑HTATSF1 ↑HTRA1 ↑HYOU1 ↑IARS2 ↑ICAM1 ↑ICAM3 ↑ICMT ↑IDE ↑IER3 ↑IFNAR1 ↑IGF1R ↑IGF2BP2 ↑IGF2R ↑IGHMBP2 ↑IKBKB ↑IKBKE ↑IKZF1 ↑IL4R ↑ILK ↑INPP1 ↑INPP4B ↑INTS3 ↑IPO13 ↑IQGAP1 ↑ISOC1 ↑ITFG1 ↑ITGAE ↑ITGB1BP1 ↑ITGB5 ↑JADE2 ↑JMJD6 ↑JUN ↑KAT6A ↑KAT6B ↑KCTD5 ↑KDELR2 ↑KDM3A ↑KDM5A ↑KDM5B ↑KEAP1 ↑KIAA0753 ↑KIF14 ↑KIF20A ↑KIF2C ↑KIF5C ↑KIT ↑KLHDC2 ↑KLHL9 ↑KTN1 ↑LAGE3 ↑LAMA3 ↑LBR ↑LGALS8 ↑LGMN ↑LIG1 ↑LIPA ↑LOXL1 ↑LPAR2 ↑LPGAT1 ↑LRP10 ↑LRPAP1 ↑LRRC41 ↑LSM5 ↑LSR ↑LYN ↑LYPLA1 ↑MACF1 ↑MALT1 ↑MAMLD1 ↑MAN2B1 ↑MAP2K5 ↑MAP3K4 ↑MAP4K4 ↑MAP7 ↑MAPK13 ↑MAPK1IP1L ↑MAPK9 ↑MAPKAPK2 ↑MAPKAPK3 ↑MAPKAPK5 ↑MAST2 ↑MAT2A ↑MBNL1 ↑MBNL2 ↑MBOAT7 ↑MBTPS1 ↑MCM3 ↑MCOLN1 ↑MCUR1 ↑ME2 ↑MEF2C ↑MELK ↑MEST ↑MICALL1 ↑MIF ↑MKNK1 ↑MLEC ↑MLLT11 ↑MMP1 ↑MMP2 ↑MNAT1 ↑MOK ↑MPZL1 ↑MRPL12 ↑MRPL19 ↑MRPS16 ↑MRPS2 ↑MSH6 ↑MTA1 ↑MTERF3 ↑MTF2 ↑MTFR1 ↑MTHFD2 ↑MUC1 ↑MVP ↑MYBL2 ↑MYCBP ↑MYCBP2 ↑MYL9 ↑MYLK ↑MYO10 ↑NCAPD2 ↑NCK1 ↑NCK2 ↑NCOA3 ↑NENF ↑NET1 ↑NFATC3 ↑NFATC4 ↑NFKB2 ↑NFKBIE ↑NGRN ↑NIPSNAP1 ↑NISCH ↑NIT1 ↑NMT1 ↑NNT ↑NOL3 ↑NOS3 ↑NOSIP ↑NOTCH1 ↑NPC1 ↑NPDC1 ↑NPEPL1 ↑NPRL2 ↑NR1H2 ↑NR2F6 ↑NRAS ↑NT5DC2 ↑NUCB2 ↑NUDCD3 ↑NUDT9 ↑NUP133 ↑NUP62 ↑NUP85 ↑NUP88 ↑NUP93 ↑NUSAP1 ↑NVL ↑ORC1 ↑OXA1L ↑OXCT1 ↑OXSR1 ↑P4HA2 ↑P4HTM ↑PAF1 ↑PAFAH1B1 ↑PAFAH1B3 ↑PAICS ↑PAK1 ↑PAK4 ↑PAK6 ↑PARP1 ↑PARP2 ↑PAX8 ↑PCM1 ↑PCMT1 ↑PCNA ↑PDGFA ↑PDHX ↑PDLIM1 ↑PDS5A ↑PFKL ↑PGAM1 ↑PHKA1 ↑PHKB ↑PHKG2 ↑PIGB ↑PIH1D1 ↑PIK3C2B ↑PIK3C3 ↑PIK3CA ↑PIK3R3 ↑PIK3R4 ↑PIN1 ↑PIP4K2B ↑PKIG ↑PLA2G15 ↑PLA2G4A ↑PLCB3 ↑PLEKHJ1 ↑PLEKHM1 ↑PLK1 ↑PLOD3 ↑PLP2 ↑PLS1 ↑PLSCR1 ↑PLSCR3 ↑PMAIP1 ↑PNKP ↑POLB ↑POLD4 ↑POLE2 ↑POLG2 ↑POLR2K ↑POP4 ↑PPARD ↑PPIC ↑PPIE ↑PPOX ↑PPP1R13B ↑PPP2R3C ↑PPP2R5A ↑PPP2R5E ↑PRAF2 ↑PRCP ↑PRKACA ↑PRKAG2 ↑PRKCD ↑PRKCH ↑PRKX ↑PROS1 ↑PRPF4 ↑PRR15L ↑PRR7 ↑PRSS23 ↑PSIP1 ↑PSMB10 ↑PSMB8 ↑PSMD10 ↑PSMD2 ↑PSMD4 ↑PSMD9 ↑PSME1 ↑PSME2 ↑PSMF1 ↑PSMG1 ↑PSRC1 ↑PTK2 ↑PTK2B ↑PTPN1 ↑PTPN12 ↑PTPN6 ↑PTPRC ↑PTPRF ↑PTPRK ↑PUF60 ↑PWP1 ↑PXN ↑PYCR1 ↑PYGL ↑RAB11FIP2 ↑RAB21 ↑RAB31 ↑RAB4A ↑RAC2 ↑RAD51C ↑RAD9A ↑RAE1 ↑RAI14 ↑RALA ↑RALB ↑RAP1GAP ↑RASA1 ↑RB1 ↑RBKS ↑RBM15B ↑RBM34 ↑RBM6 ↑REEP5 ↑RELB ↑RFC2 ↑RFC5 ↑RFNG ↑RFX5 ↑RGS2 ↑RHEB ↑RHOA ↑RNF167 ↑RNH1 ↑RNMT ↑RNPS1 ↑RPA1 ↑RPA2 ↑RPA3 ↑RPIA ↑RPL39L ↑RPN1 ↑RPS5 ↑RPS6 ↑RPS6KA1 ↑RRAGA ↑RRP1B ↑RRP8 ↑RRS1 ↑RSU1 ↑RTN2 ↑RUVBL1 ↑S100A13 ↑S100A4 ↑SACM1L ↑SATB1 ↑SCAND1 ↑SCARB1 ↑SCCPDH ↑SCRN1 ↑SDHB ↑SENP6 ↑SESN1 ↑SFN ↑SGCB ↑SH3BP5 ↑SHC1 ↑SKP1 ↑SLC11A2 ↑SLC1A4 ↑SLC25A14 ↑SLC25A46 ↑SLC2A6 ↑SLC35A1 ↑SLC35A3 ↑SLC35B1 ↑SLC35F2 ↑SMAD3 ↑SMARCA4 ↑SMARCC1 ↑SMARCD2 ↑SMC1A ↑SMC3 ↑SMC4 ↑SMNDC1 ↑SNAP25 ↑SNCA ↑SNX11 ↑SNX13 ↑SNX6 ↑SNX7 ↑SORBS3 ↑SOX4 ↑SPAG4 ↑SPAG7 ↑SPEN ↑SPP1 ↑SPRED2 ↑SPTAN1 ↑SPTLC2 ↑SQSTM1 ↑SRC ↑SSBP2 ↑ST3GAL5 ↑STAMBP ↑STAP2 ↑STAT1 ↑STAT5B ↑STK10 ↑STK25 ↑STMN1 ↑STUB1 ↑STX1A ↑STX4 ↑STXBP1 ↑STXBP2 ↑SUPV3L1 ↑SUV39H1 ↑SUZ12 ↑SYK ↑SYNGR3 ↑SYPL1 ↑TARBP1 ↑TATDN2 ↑TBC1D31 ↑TBC1D9B ↑TBP ↑TBPL1 ↑TBX2 ↑TBXA2R ↑TCEA2 ↑TCEAL4 ↑TCERG1 ↑TCFL5 ↑TCTN1 ↑TERF2IP ↑TERT ↑TES ↑TESK1 ↑TEX10 ↑TFAP2A ↑TFDP1 ↑TGFB3 ↑TGFBR2 ↑THAP11 ↑TIAM1 ↑TICAM1 ↑TIMELESS ↑TIMM22 ↑TIMM9 ↑TIMP2 ↑TJP1 ↑TLE1 ↑TLK2 ↑TLR4 ↑TM9SF2 ↑TM9SF3 ↑TMCO1 ↑TMED10 ↑TMEM109 ↑TMEM50A ↑TNFRSF21 ↑TNIP1 ↑TOMM34 ↑TOP2A ↑TOPBP1 ↑TOR1A ↑TP53 ↑TP53BP1 ↑TP53BP2 ↑TPD52L2 ↑TPM1 ↑TRAK2 ↑TRAP1 ↑TRAPPC3 ↑TRIB3 ↑TRIM13 ↑TRIM2 ↑TSC22D3 ↑TSEN2 ↑TSKU ↑TSPAN3 ↑TSPAN4 ↑TSPAN6 ↑TUBB6 ↑TWF2 ↑TXNDC9 ↑TXNRD1 ↑UBE2A ↑UBE2C ↑UBE2J1 ↑UBE3B ↑UBE3C ↑UBQLN2 ↑UBR7 ↑UFM1 ↑UGDH ↑USP1 ↑USP14 ↑USP22 ↑USP6NL ↑USP7 ↑UTP14A ↑VAPB ↑VAT1 ↑VAV3 ↑VDAC1 ↑VGLL4 ↑VPS28 ↑VPS72 ↑WASF3 ↑WDR7 ↑WDTC1 ↑WFS1 ↑WIPF2 ↑XPNPEP1 ↑XPO7 ↑YKT6 ↑YME1L1 ↑YTHDF1 ↑ZDHHC6 ↑ZFP36 ↑ZMIZ1 ↑ZMYM2 ↑ZNF318 ↑ZNF395 ↑ZNF451 ↑ZNF586 ↑ZNF589 ↑ZW10 ↑ABHD6 ↓ACAA1 ↓ACAT2 ↓ADI1 ↓ADRB2 ↓AGL ↓AKR7A2 ↓ALAS1 ↓ALDH7A1 ↓ALDOC ↓APOE ↓BAG3 ↓BDH1 ↓BPHL ↓C5 ↓CAT ↓CD40 ↓CDKN1A ↓CDKN2A ↓CEBPD ↓CHAC1 ↓CRELD2 ↓CSK ↓CXCL2 ↓DNAJB1 ↓DUSP6 ↓EAPP ↓EBP ↓ECH1 ↓EDEM1 ↓EGR1 ↓EIF5 ↓ENOSF1 ↓ETFB ↓EVL ↓FAH ↓FBXO21 ↓FDFT1 ↓FGFR4 ↓FIS1 ↓FKBP4 ↓FOS ↓FSD1 ↓FYN ↓GADD45A ↓GADD45B ↓GFOD1 ↓GHR ↓GLRX ↓GRWD1 ↓GSTM2 ↓GSTZ1 ↓HADH ↓HEBP1 ↓HERPUD1 ↓HLA-DRA ↓HMGCR ↓HMGCS1 ↓HOMER2 ↓HPRT1 ↓HSPA1A ↓HSPA8 ↓ID2 ↓IFRD2 ↓IGFBP3 ↓IL13RA1 ↓IL1B ↓INSIG1 ↓KCNK1 ↓KLHL21 ↓LAP3 ↓LSM6 ↓LYRM1 ↓METRN ↓MPC2 ↓MSRA ↓MYC ↓NFE2L2 ↓NFIL3 ↓NFKBIA ↓NFKBIB ↓NOLC1 ↓NR3C1 ↓NRIP1 ↓NSDHL ↓PACSIN3 ↓PAN2 ↓PCBD1 ↓PCCB ↓PCK2 ↓PDIA5 ↓PECR ↓PEX11A ↓PGM1 ↓PGRMC1 ↓PHGDH ↓PNP ↓POLR1C ↓POLR2I ↓PPARG ↓PRKCQ ↓PTGS2 ↓PXMP2 ↓RAB27A ↓RALGDS ↓RPP38 ↓RRP12 ↓SCP2 ↓SCYL3 ↓SERPINE1 ↓SHB ↓SIRT3 ↓SLC25A13 ↓SLC25A4 ↓SLC27A3 ↓SLC37A4 ↓SLC5A6 ↓SOCS2 ↓SPDEF ↓SPR ↓ST7 ↓STAT3 ↓SYNE2 ↓TCTA ↓TIMM17B ↓TIPARP ↓TMEM97 ↓TRAM2 ↓TRAPPC6A ↓TRIB1 ↓TXLNA ↓TXNL4B ↓UBE2L6 ↓XBP1 ↓ZNF274 ↓

Compounds this signature surfaced alphabetical · deliberately unranked

Shown so you can see what a 940-gene correlation produces, not so you can act on it. Ordering is withheld because at this depth the order is a tie-break artifact rather than a measurement. Our own structural screen and registered-trial counts are shown rather than hidden.

What would change this

A signature for this indication measured on a platform that overlaps the landmark set more deeply. Our floor is 300 genes; 200 is the deepest point at which we have actually measured reliability. We cannot tell you which genes would matter most here — that would need a curated disease-gene map for this indication, which we do not hold and are not going to assert. If you have a deeper signature for this disease and want it scored against our library, that is a conversation we are glad to have.

Ranking withheld — this signature has only one direction

Our score measures how strongly a compound’s expression profile opposes a disease signature, which requires the signature to have two sides: genes that rise in disease and genes that fall. 86% of this one points the same way, so there is nothing to oppose. A score computed against it reflects which genes were selected rather than what the disease does.

This signature is not shallow — it carries 940 of the 978 landmark genes, comfortably past our depth floor. That is the part worth stating: depth counts genes present, not genes moving, so our depth gate cannot see this, and neither can our specificity control, which holds the gene set fixed while the gene set is the thing that is skewed. We added a third check rather than find out later.

How the score works & its limits →