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genename r-value FDR t-value CMH-associated LOC100129532 -0.55730859 0.01053406 -4.97782008 RAMP2 -0.55957834 0.01053406 -5.00730808 OR4X2 -0.57050914 0.01053406 -5.15165478 TRIM50 -0.54700285 0.01053406 -4.84593565 MGAT5B -0.54617245 0.01053406 -4.83544820 ADRA2B -0.57634177 0.01053406 -5.23032197 UPP2 -0.57683747 0.01053406 -5.23706223 DGKG -0.54600807 0.01053406 -4.83337469 yes CCDC83 -0.56177111 0.01053406 -5.03595160 CSTF2T 0.59012985 0.01053406 5.42112576 HLX -0.57354367 0.01053406 -5.19243603 MGC44328 -0.54845470 0.01053406 -4.86432061 REEP2 -0.56670666 0.01053406 -5.10099399 LMOD3 -0.55144647 0.01053406 -4.90240478 PTMS -0.56487977 0.01053406 -5.07682560 yes HIF3A -0.57231959 0.01053406 -5.17594752 SNRPD1 0.55386025 0.01053406 4.93332922 GFI1B -0.54716502 0.01053406 -4.84798616 TKTL2 -0.54750675 0.01053406 -4.85230945 USP42 0.55271977 0.01053406 4.91869566 yes CACNA1H -0.55518355 0.01053406 -4.95035886 CTSB 0.54182685 0.01108551 4.78089551 GRB14 -0.54242408 0.01108551 -4.78836039 hCG_1793639 -0.54195407 0.01108551 -4.78248480 SSX10 -0.52936619 0.01149683 -4.62743411 LOC100129427 -0.53444805 0.01149683 -4.68950144 GDF11 -0.52781090 0.01149683 -4.60857779 yes SLMO1 -0.53732751 0.01149683 -4.72498443 KLK8 -0.52836610 0.01149683 -4.61530159 KTI12 0.53416833 0.01149683 4.68606668 CXorf39 0.52787532 0.01149683 4.60935755 yes FAM163A -0.53941668 0.01149683 -4.75087413 LOC150763 -0.53719861 0.01149683 -4.72339109 ADAT1 0.52736824 0.01149683 4.60322266 yes HNRNPF 0.52889746 0.01149683 4.62174444 yes MAP3K15 -0.53264777 0.01149683 -4.66743333 TESC -0.52932845 0.01149683 -4.62697578 yes LIMS2 -0.53461219 0.01149683 -4.69151794 yes C3orf14 0.53425990 0.01149683 4.68719094 RPL34 0.53129383 0.01149683 4.65089473 SAT1 0.52793815 0.01149683 4.61011815 yes WIPF3 -0.52974660 0.01149683 -4.63205596 FAM117A -0.52754791 0.01149683 -4.60539565 CDKN1C -0.52581535 0.01150902 -4.58447780 COX7A1 -0.52654602 0.01150902 -4.59328973 TULP2 -0.52572824 0.01150902 -4.58342811 AHSG -0.52488509 0.01166631 -4.57327895 PAH -0.52434802 0.01168082 -4.56682387 LOC100130518 -0.52234108 0.01181619 -4.54276838 yes FOXC2 -0.52002104 0.01181619 -4.51508948 GPER -0.51989624 0.01181619 -4.51360447 EVX2 -0.52143894 0.01181619 -4.53198916 yes SULT1C3 -0.52163522 0.01181619 -4.53433269 ZNF295 0.52092440 0.01181619 4.52585054 PLEKHB2 0.52015242 0.01181619 4.51665315 FN3K -0.52261027 0.01181619 -4.54598886 ZNF414 -0.52035999 0.01181619 -4.51912469 SNORD116-4 -0.51358195 0.01193953 -4.43898093 SNORD116-8 -0.51678632 0.01193953 -4.47672629 SNORD115-25 -0.51325500 0.01193953 -4.43514404 TMEM170A 0.51522201 0.01193953 4.45826801 CNTNAP5 -0.51748416 0.01193953 -4.48498022 ZBTB46 -0.51463294 0.01193953 -4.45133297 DNMT3B -0.51515518 0.01193953 -4.45748082 OR5D14 -0.51906085 0.01193953 -4.50367418 C11orf35 -0.51774044 0.01193953 -4.48801460 C10orf53 -0.51609295 0.01193953 -4.46853722 NBPF22P -0.51319106 0.01193953 -4.43439394 PARVB -0.51557301 0.01193953 -4.46240433 yes EMR4P -0.51605802 0.01193953 -4.46812500 UFSP1 -0.51602285 0.01193953 -4.46770999 C20orf199 0.51414608 0.01193953 4.44560767 SOX18 -0.51355196 0.01193953 -4.43862894 ADPGK 0.51758000 0.01193953 4.48611477 HSBP1 0.51092737 0.01239826 4.40790315 yes KRAS 0.51176697 0.01239826 4.41771399 yes FLJ42418 -0.51138710 0.01239826 -4.41327303 CA11 -0.51097342 0.01239826 -4.40844071 ACHE -0.51041325 0.01249399 -4.40190397 yes LRRC3B -0.50907943 0.01270035 -4.38636968 OR52E4 -0.50905913 0.01270035 -4.38613354 WNT3 -0.50913005 0.01270035 -4.38695845 THUMPD3 0.50849066 0.01283228 4.37952618 LOC100130174 -0.50771344 0.01307401 -4.37050493 FOXC1 -0.50658612 0.01350554 -4.35744552 CYP46A1 -0.50573861 0.01364060 -4.34764742 RBPMS2 -0.50593013 0.01364060 -4.34986017 LOC728115 0.50505900 0.01369305 4.33980260 MOGAT2 -0.50517013 0.01369305 -4.34108471 SNORD116-6 -0.50343430 0.01381164 -4.32109244 RP11-218C14.6 -0.50362256 0.01381164 -4.32325734 APOBEC1 -0.50441945 0.01381164 -4.33243019 PURB 0.50365226 0.01381164 4.32359892 LOC728844 0.50394239 0.01381164 4.32693707 TCEAL2 -0.50129272 0.01405519 -4.29652358 TTC7B -0.50113789 0.01405519 -4.29475141 HOXB1 -0.50112740 0.01405519 -4.29463137 NFYA 0.50130145 0.01405519 4.29662353 LOC646508 -0.50117368 0.01405519 -4.29516097 VHL 0.50182752 0.01405519 4.30264899 CSDA 0.50165735 0.01405519 4.30069920 C9orf96 -0.49804727 0.01424733 -4.25949131 DRD2 -0.49862986 0.01424733 -4.26612138 PLD5 -0.49863561 0.01424733 -4.26618686 GLT25D2 -0.49790982 0.01424733 -4.25792826 SUSD5 -0.49830669 0.01424733 -4.26244269 C1orf167 -0.49798209 0.01424733 -4.25875009 HPCAL1 -0.49851023 0.01424733 -4.26475935 M6PR 0.49803004 0.01424733 4.25929539 LOC441476 -0.49868682 0.01424733 -4.26677000 SLC15A2 0.49812202 0.01424733 4.26034163 yes BST1 -0.49784830 0.01424733 -4.25722877 PPFIA4 -0.49979373 0.01424733 -4.27938953 SNUPN 0.48569720 0.01435878 4.12071277 PAIP1 -0.49224308 0.01435878 -4.19385345 ADCY1 -0.48925202 0.01435878 -4.16031813 yes CHST14 -0.48521977 0.01435878 -4.11541407 ODF3 -0.48814726 0.01435878 -4.14798072 C17orf95 0.48660658 0.01435878 4.13081882 DMBX1 -0.48561101 0.01435878 -4.11975588 C20orf166 -0.48829888 0.01435878 -4.14967243 LRRC15 -0.49181583 0.01435878 -4.18905128 BEST3 -0.48520696 0.01435878 -4.11527201 UNC45B -0.49152694 0.01435878 -4.18580646 yes DACT3 -0.49333638 0.01435878 -4.20616011 GPBAR1 -0.49049560 0.01435878 -4.17423734 ATP6V0E2 -0.49298542 0.01435878 -4.20220671 CCDC63 -0.48613675 0.01435878 -4.12559532 BMPER -0.48972294 0.01435878 -4.16558518 LCE4A -0.48607044 0.01435878 -4.12485852 HEPACAM -0.48813273 0.01435878 -4.14781863 GPR97 -0.49404335 0.01435878 -4.21413219 FOXF1 -0.49387075 0.01435878 -4.21218487 ZNF423 -0.49529150 0.01435878 -4.22823361 AHCYL2 0.48946006 0.01435878 4.16264440 DEFB119 -0.49233341 0.01435878 -4.19486929 C16orf65 -0.48853831 0.01435878 -4.15234476 TMEM158 -0.48682177 0.01435878 -4.13321281 MYRIP -0.49102797 0.01435878 -4.18020633 OR2F1 -0.49278610 0.01435878 -4.19996266 CNTN6 -0.49561155 0.01435878 -4.23185518 BMP10 -0.48776403 0.01435878 -4.14370711 GNAZ -0.49702906 0.01435878 -4.24792230 BLOC1S2 0.48650874 0.01435878 4.12973066 SLC9A10 -0.49034561 0.01435878 -4.17255676 KCNC3 -0.49217704 0.01435878 -4.19311089 FAM148B -0.49293246 0.01435878 -4.20161035 SLC6A17 -0.48800530 0.01435878 -4.14639724 yes C2orf82 -0.49123957 0.01435878 -4.18258051 OR52E8 -0.48834017 0.01435878 -4.15013316 ACCSL -0.49305249 0.01435878 -4.20296204 OR5M1 -0.49116668 0.01435878 -4.18176261 LDLRAD2 -0.49510571 0.01435878 -4.22613236 FOXB2 -0.48623988 0.01435878 -4.12674153 NUDT1 -0.48713315 0.01435878 -4.13667868 NDUFA9 0.48545168 0.01435878 4.11798735 SPRN -0.49054365 0.01435878 -4.17477588 SEPSECS 0.49627762 0.01435878 4.23939924 NIP7 0.48834267 0.01435878 4.15016103 GNG13 -0.48541999 0.01435878 -4.11763561 C11orf71 0.49565063 0.01435878 4.23229752 C9orf95 0.48883038 0.01435878 4.15560638 MEG3 -0.48552405 0.01435878 -4.11879057 CMAS 0.48721713 0.01435878 4.13761376 PLEKHA4 -0.48810239 0.01435878 -4.14748019 DEFB136 -0.49291333 0.01435878 -4.20139502 PKNOX2 -0.48891806 0.01435878 -4.15658593 ANO3 -0.49137573 0.01435878 -4.18410879 ZFYVE20 0.48528592 0.01435878 4.11614798 TFB2M 0.49694782 0.01435878 4.24700030 SGCA -0.48532178 0.01435878 -4.11654587 SLC30A5 0.48749237 0.01435878 4.14067961 RPL23AP64 -0.49576281 0.01435878 -4.23356752 yes KRTAP19-8 -0.48763671 0.01435878 -4.14228803 LOC100133430 -0.49327446 0.01435878 -4.20546242 TTTY5 -0.49589072 0.01435878 -4.23501592 TMEM128 0.49661673 0.01435878 4.24324398 KIAA1755 -0.49272339 0.01435878 -4.19925687 CBFB 0.48849482 0.01435878 4.15185933 yes AKAP4 -0.48618637 0.01435878 -4.12614682 RTN1 -0.48498883 0.01439424 -4.11285280 C1QTNF5 -0.48437886 0.01440148 -4.10609308 yes MTCH2 0.48442586 0.01440148 4.10661367 PDX1 -0.48478253 0.01440148 -4.11056572 USP38 0.48457221 0.01440148 4.10823497 yes PIP5KL1 -0.48391692 0.01456828 -4.10097899 WIF1 -0.48129117 0.01490984 -4.07199469 DUSP15 -0.48282300 0.01490984 -4.08888633 AMAC1 -0.48144844 0.01490984 -4.07372663 GLIPR2 0.48050812 0.01490984 4.06337866 yes TIGD2 0.48221472 0.01490984 4.08217290 FCAR -0.48144406 0.01490984 -4.07367841 ITGA11 -0.48123951 0.01490984 -4.07142585 CAMTA1 -0.48180406 0.01490984 -4.07764498 ZSCAN1 -0.48126433 0.01490984 -4.07169916 C1orf95 -0.48188412 0.01490984 -4.07852741 INCA1 -0.48234430 0.01490984 -4.08360239 RNASE13 -0.48300778 0.01490984 -4.09092725 RBP3 -0.48049419 0.01490984 -4.06322557 LOC646359 -0.48091008 0.01490984 -4.06779990 FHOD3 -0.48047257 0.01490984 -4.06298780 TCF7L1 -0.48190386 0.01490984 -4.07874500 CASP4 0.48256260 0.01490984 4.08601142 FIBCD1 -0.48112811 0.01490984 -4.07019951 ZNF628 -0.48067833 0.01490984 -4.06525044 DGKI -0.48212308 0.01490984 -4.08116220 PDE9A -0.48021696 0.01497564 -4.06017825 yes EXOSC2 0.47955207 0.01512053 4.05287622 HOXD4 -0.47969316 0.01512053 -4.05442501 yes RSPO4 -0.47959417 0.01512053 -4.05333833 EFCAB3 -0.47919252 0.01520529 -4.04893135 KLF15 -0.47913421 0.01520529 -4.04829186 LOC100129654 -0.47267682 0.01522297 -3.97789666 CDX1 -0.47334951 0.01522297 -3.98519093 yes STAG3 -0.47264598 0.01522297 -3.97756248 WTIP -0.47754454 0.01522297 -4.03088397 yes TRAM1L1 -0.47317556 0.01522297 -3.98330388 yes LSM11 -0.47321601 0.01522297 -3.98374261 yes PNCK -0.47457156 0.01522297 -3.99846541 yes GATA5 -0.47824153 0.01522297 -4.03851018 PARP4 0.47713211 0.01522297 4.02637602 LOC146336 -0.47221578 0.01522297 -3.97290248 ADRA1A -0.47406966 0.01522297 -3.99300991 yes SMYD1 -0.47475314 0.01522297 -4.00044035 ADRA2C -0.47492711 0.01522297 -4.00233312 yes DPYS -0.47464511 0.01522297 -3.99926520 ATN1 -0.47504606 0.01522297
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  • DNMT Inhibitors Increase Methylation at Subset of Cpgs in Colon

    DNMT Inhibitors Increase Methylation at Subset of Cpgs in Colon

    bioRxiv preprint doi: https://doi.org/10.1101/395467; this version posted August 25, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Title: DNMT inhibitors increase methylation at subset of CpGs in colon, bladder, lymphoma, 2 breast, and ovarian, cancer genome 3 Running title: Decitabine/azacytidine increases DNA methylation 4 Anil K Giri1, Tero Aittokallio1,2 5 1Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Helsinki, Finland. 6 2Department of Mathematics and Statistics, University of Turku, Turku, Finland. 7 Correspondence to 8 Dr. Anil K Giri 9 Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland. 10 Email: [email protected] 11 Financial disclosure: This work was funded by the Academy of Finland (grants 269862, 292611, 12 310507 and 313267), Cancer Society of Finland, and the Sigrid Juselius Foundation. 13 Ethical disclosure: This study is an independent analysis of existing data available in the public 14 domain and does not involve any animal or human samples that have been collected by the authors 15 themselves. 16 Author contribution: AKG conceptualized, analyzed the data and wrote the manuscript. TA 17 critically revised and edited the manuscript. The authors report no conflict of interest. 18 19 Word count: 20 Figure number: 5 21 Table number: 1 22 23 Abstract 24 Background: DNA methyltransferase inhibitors (DNMTi) decitabine and azacytidine are approved 25 therapies for acute myeloid leukemia and myelodysplastic syndrome.
  • Qt38n028mr Nosplash A3e1d84

    Qt38n028mr Nosplash A3e1d84

    ! ""! ACKNOWLEDGEMENTS I dedicate this thesis to my parents who inspired me to become a scientist through invigorating scientific discussions at the dinner table even when I was too young to understand what the hippocampus was. They also prepared me for the ups and downs of science and supported me through all of these experiences. I would like to thank my advisor Dr. Elizabeth Blackburn and my thesis committee members Dr. Eric Verdin, and Dr. Emmanuelle Passegue. Liz created a nurturing and supportive environment for me to explore my own ideas, while at the same time teaching me how to love science, test my questions, and of course provide endless ways to think about telomeres and telomerase. Eric and Emmanuelle both gave specific critical advice about the proper experiments for T cells and both volunteered their lab members for further critical advice. I always felt inspired with a sense of direction after thesis committee meetings. The Blackburn lab is full of smart and dedicated scientists whom I am thankful for their support. Specifically Dr. Shang Li and Dr. Brad Stohr for their stimulating scientific debates and “arguments.” Dr. Jue Lin, Dana Smith, Kyle Lapham, Dr. Tet Matsuguchi, and Kyle Jay for their friendships and discussions about what my data could possibly mean. Dr. Eva Samal for teaching me molecular biology techniques and putting up with my late night lab exercises. Beth Cimini for her expertise with microscopy, FACs, singing, and most of all for being a caring and supportive friend. Finally, I would like to thank Dr. Imke Listerman, my scientific partner for most of the breast cancer experiments.
  • SELP Asp603asn and Severe Thrombosis in COVID-19 Males

    SELP Asp603asn and Severe Thrombosis in COVID-19 Males

    Fallerini et al. J Hematol Oncol (2021) 14:123 https://doi.org/10.1186/s13045-021-01136-9 LETTER TO THE EDITOR Open Access SELP Asp603Asn and severe thrombosis in COVID-19 males Chiara Fallerini1,2, Sergio Daga1,2, Elisa Benetti2, Nicola Picchiotti3,4, Kristina Zguro2, Francesca Catapano1,2, Virginia Baroni1,2, Simone Lanini5, Alessandro Bucalossi6, Giuseppe Marotta6, Francesca Colombo7, Margherita Baldassarri1,2, Francesca Fava1,2,8, Giada Beligni1,2, Laura Di Sarno1,2, Diana Alaverdian1,2, Maria Palmieri1,2, Susanna Croci1,2, Andrea M. Isidori9, Simone Furini2, Elisa Frullanti1,2 on behalf of GEN-COVID Multicenter Study, Alessandra Renieri1,2,8* and Francesca Mari1,2,8 Abstract Thromboembolism is a frequent cause of severity and mortality in COVID-19. However, the etiology of this phenom- enon is not well understood. A cohort of 1186 subjects, from the GEN-COVID consortium, infected by SARS-CoV-2 with diferent severity was stratifed by sex and adjusted by age. Then, common coding variants from whole exome sequencing were mined by LASSO logistic regression. The homozygosity of the cell adhesion molecule P-selectin gene (SELP) rs6127 (c.1807G > A; p.Asp603Asn) which has been already associated with thrombotic risk is found to be associated with severity in the male subcohort of 513 subjects (odds ratio 2.27, 95% Confdence Interval 1.54–3.36). As the SELP gene is downregulated by testosterone, the odd ratio is increased= in males older than 50 (OR 2.42, 95% CI 1.53–3.82). Asn/Asn homozygotes have increased D-dimers values especially when associated with poly Q 23 in the androgen receptor (OR 3.26, 95% CI 1.41–7.52).
  • The Mutational Landscape of Human Olfactory G Protein-Coupled Receptors

    The Mutational Landscape of Human Olfactory G Protein-Coupled Receptors

    Jimenez et al. BMC Biology (2021) 19:21 https://doi.org/10.1186/s12915-021-00962-0 RESEARCH ARTICLE Open Access The mutational landscape of human olfactory G protein-coupled receptors Ramón Cierco Jimenez1,2, Nil Casajuana-Martin1, Adrián García-Recio1, Lidia Alcántara1, Leonardo Pardo1, Mercedes Campillo1 and Angel Gonzalez1* Abstract Background: Olfactory receptors (ORs) constitute a large family of sensory proteins that enable us to recognize a wide range of chemical volatiles in the environment. By contrast to the extensive information about human olfactory thresholds for thousands of odorants, studies of the genetic influence on olfaction are limited to a few examples. To annotate on a broad scale the impact of mutations at the structural level, here we analyzed a compendium of 119,069 natural variants in human ORs collected from the public domain. Results: OR mutations were categorized depending on their genomic and protein contexts, as well as their frequency of occurrence in several human populations. Functional interpretation of the natural changes was estimated from the increasing knowledge of the structure and function of the G protein-coupled receptor (GPCR) family, to which ORs belong. Our analysis reveals an extraordinary diversity of natural variations in the olfactory gene repertoire between individuals and populations, with a significant number of changes occurring at the structurally conserved regions. A particular attention is paid to mutations in positions linked to the conserved GPCR activation mechanism that could imply phenotypic variation in the olfactory perception. An interactive web application (hORMdb, Human Olfactory Receptor Mutation Database) was developed for the management and visualization of this mutational dataset.
  • WO 2019/068007 Al Figure 2

    WO 2019/068007 Al Figure 2

    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/068007 Al 04 April 2019 (04.04.2019) W 1P O PCT (51) International Patent Classification: (72) Inventors; and C12N 15/10 (2006.01) C07K 16/28 (2006.01) (71) Applicants: GROSS, Gideon [EVIL]; IE-1-5 Address C12N 5/10 (2006.0 1) C12Q 1/6809 (20 18.0 1) M.P. Korazim, 1292200 Moshav Almagor (IL). GIBSON, C07K 14/705 (2006.01) A61P 35/00 (2006.01) Will [US/US]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., C07K 14/725 (2006.01) P.O. Box 4044, 7403635 Ness Ziona (TL). DAHARY, Dvir [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (21) International Application Number: Box 4044, 7403635 Ness Ziona (IL). BEIMAN, Merav PCT/US2018/053583 [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (22) International Filing Date: Box 4044, 7403635 Ness Ziona (E.). 28 September 2018 (28.09.2018) (74) Agent: MACDOUGALL, Christina, A. et al; Morgan, (25) Filing Language: English Lewis & Bockius LLP, One Market, Spear Tower, SanFran- cisco, CA 94105 (US). (26) Publication Language: English (81) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of national protection available): AE, AG, AL, AM, 62/564,454 28 September 2017 (28.09.2017) US AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, 62/649,429 28 March 2018 (28.03.2018) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (71) Applicant: IMMP ACT-BIO LTD.
  • Sean Raspet – Molecules

    Sean Raspet – Molecules

    1. Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Molecular weight: 240.39 g/mol Volume (cubic Angstroems): 258.88 Atoms number (non-hydrogen): 17 miLogP: 4.43 Structure: Biological Properties: Predicted Druglikenessi: GPCR ligand -0.23 Ion channel modulator -0.03 Kinase inhibitor -0.6 Nuclear receptor ligand 0.15 Protease inhibitor -0.28 Enzyme inhibitor 0.15 Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Predicted Olfactory Receptor Activityii: OR2L13 83.715% OR1G1 82.761% OR10J5 80.569% OR2W1 78.180% OR7A2 77.696% 2. Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Molecular weight: 239.36 Volume (cubic Angstroems): 252.83 Atoms number (non-hydrogen): 17 miLogP: 4.33 Structure: Biological Properties: Predicted Druglikeness: GPCR ligand -0.6 Ion channel modulator -0.41 Kinase inhibitor -0.93 Nuclear receptor ligand -0.17 Protease inhibitor -0.39 Enzyme inhibitor 0.01 Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Predicted Olfactory Receptor Activity: OR52D1 71.900% OR1G1 70.394% 0R52I2 70.392% OR52I1 70.390% OR2Y1 70.378% 3. Commercial name: Hyperflor© IUPAC Name: 2-benzyl-1,3-dioxan-5-one SMILES: O=C1COC(CC2=CC=CC=C2)OC1 Molecular weight: 192.21 g/mol Volume