Results 71 to 80 of about 36,099,759 (329)
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...Julien Broc, Clara Piersson, Yann Fichouwiley +1 more sourceThe intracellular domain of TLR2 is capable of high‐affinity Zn binding: possible outcomes for the receptor activation
FEBS Letters, EarlyView.Toll‐like receptors (TLRs) are important in the innate immune system. This study explores the zinc‐binding ability of the TLR2 TIR domain (TLR2TIR). We found that TLR2TIR binds zinc with nanomolar affinity through its cysteine residues. Two of them, C673 and C713, are vital for receptor activation, indicating that zinc may play a role in initiating ...Vladislav A. Lushpa, Cong Lin, Irina A. Talyzina, Marina V. Goncharuk, Eduard V. Bocharov, Alexander S. Arseniev, Xiaohui Wang, Sergey A. Goncharuk, Konstantin S. Mineev +8 morewiley +1 more source4,40-Dimethyl-2,20-bipyridinium dichloride [PDF]
, 2008 In the title compound, C12H14N22+·2Cl-, the 4,4'-dimethyl-2,2'-bipyridinium cation is essentially planar (r.m.s. deviation for all non-H atoms = 0.004 Å) and is located on a crystallographic inversion centre. The cations and chloride anions lie in planes Bolte, Michael, Eckensberger, Urs David, Lerner, Hans-Wolfram +2 morecore Zgamma Production in pbarp Collisions at sqrt(s)=1.8 TeV and Limits on
Anomalous ZZgamma and Zgammagamma Couplings
, 1988 We present a study of Z +gamma + X production in p-bar p collisions at
sqrt{S}=1.8 TeV from 97 (87) pb^{-1} of data collected in the eegamma
(mumugamma) decay channel with the D0 detector at Fermilab.Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Astur, R, Baarmand, MM, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Barberis, E, Bartlett, JF, Bazizi, K, Belyaev, A, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, Casilum, Z, Castilla-Valdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Choi, S, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, Cullen-Vidal, D, Cummings, MAC, Cutts, D, da Motta, H, Dahl, OI, Davis, K, De, K, Del Signore, K, Demarteau, M, Denisov, D, Denisov, SP, Di Loreto, G, Diehl, HT, Diesburg, H, Draper, P, Ducros, Y, Dudko, LV, Dugad, SR, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahland, T, Fatyga, M, Fatyga, MK, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Fuess, S, Gallas, E, Galyaev, AN, Gartung, P, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glenn, S, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Gomez, G, Goncharov, PI, Gordon, H, Goss, LT, Gounder, K, Goussiou, A, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Grim, G, Grinstein, S, Grossman, N, Grudberg, P, Grunendahl, S, Guglielmo, G, Guida, JA, Guida, JM, Gupta, A, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hanlet, P, Hansen, S, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, Hernandez-Montoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Hu, T, Huehn, T, Ito, AS, James, E, Jaques, J, Jerger, SA, Jesik, R, Jiang, JZY, Joffe-Minor, T, Johns, K, Johnson, M, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Karmgard, D, Kehoe, R, Kelly, ML, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kotwal, AV, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krane, J, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Lan, H, Lander, R, Landry, F, Landsberg, G, Lauer, B, Leflat, A, Li, H, Li, J, Li-Demarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Magana-Mendoza, L, Mani, S, Mao, HS, Markeloff, R, Marshall, T, Martin, MI, Mauritz, KM, May, B, Mayorov, AA, McCarthy, R, McDonald, J, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Merkin, M, Merritt, KW, Miettinen, H, Mincer, A, Mishra, CS, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, Murphy, C, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Nemethy, P, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, YM, Partridge, R, Parua, N, Paterno, M, Pawlik, B, Perkins, J, Peters, M, Piegaia, R, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rasmussen, L, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rutherfoord, J, Sanchez-Hernandez, A, Santoro, A, Sawyer, L, Schaffer, C, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shankar, HC, Shivpuri, RK, Shupe, M, Singh, H, Singh, JB, Sirotenko, V, Smart, W, Smith, RP, Snihur, R, Snow, GR, Snow, J, Snyder, S, Solis, JLG, Solomon, J, Sood, PM, Sosebee, M, Sotnikova, N, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stichelbaut, F, Stoianova, DA, Stoker, D, Strauss, M, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Thomas, TLT, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, White, A, White, JT, Wightman, JA, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, Zylberstejn, A +372 morecore +1 more sourceRefining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.Gagan Sharma, Jennifer R. Deuis, Xinying Jia, Theo Crawford, Sassan Rahnama, Eivind A. B. Undheim, Irina Vetter, Yanni K. ‐Y. Chin, Mehdi Mobli +8 morewiley +1 more sourceIdentification of novel small molecule inhibitors of ETS transcription factors
FEBS Letters, EarlyView.ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker +9 morewiley +1 more sourceConstant approximation algorithms for embedding graph metrics into trees
and outerplanar graphs
, 2010 In this paper, we present a simple factor 6 algorithm for approximating the
optimal multiplicative distortion of embedding a graph metric into a tree
metric (thus improving and simplifying the factor 100 and 27 algorithms of
B\v{a}doiu, Indyk, and ...Chepoi, Victor, Dragan, Feodor, Newman, Ilan, Rabinovich, Yuri, Vaxes, Yann +4 morecore +3 more sources
