Results 21 to 30 of about 793,336 (333)
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen [PDF]
, 2019 The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal ...Abante, J, Abecassis, BS, Aben, N, Aghamirzaie, D, Ahsen, ME, Aittokallio, T, Akhtari, FS, Al-lazikani, B, Alam, T, Allam, A, Allen, C, Altarawy, D, Alves, V, Amadoz, A, Anchang, B, Angel Pujana, M, Antolin, AA, Ash, JR, Ba-alawi, W, Bagheri, M, Bajic, V, Ball, G, Ballester, PJ, Baptista, D, Bare, C, Bateson, M, Bender, A, Bertrand, D, Boroevich, KA, Bosdriesz, E, Bougouffa, S, Bounova, G, Brouwer, T, Bryant, B, Bulusu, KC, Calaza, M, Calderone, A, Calza, S, Capuzzi, S, Carbonell-Caballero, J, Carlin, D, Carter, H, Castagnoli, L, Celebi, R, Cesareni, G, Chang, H, Chen, G, Chen, H, Chen, H, Cheng, L, Chernomoretz, A, Chicco, D, Cho, K-H, Cho, S, Choi, D, Choi, J, Choi, K, Choi, M, Coker, E, Combinatio, A-SD, Cortes-Ciriano, I, Cserzo, M, Cubuk, C, Curtis, C, Dang, CC, de Almeida, MP, De Cock, M, de Esch, I, de Graaf, C, De Maeyer, D, De Niz, C, de Ruiter, JR, De Troyer, E, Di Veroli, GY, Dijkstra, T, Dopazo, J, Draghici, S, Drosou, A, Dry, JR, Dumontier, M, Ehrhart, F, Eid, F-E, ElHefnawi, M, Elmarakeby, H, Engin, HB, Evelo, C, Falcao, AO, Farag, S, Fawell, S, Fernandez-Lozano, C, Fisch, K, Flobak, A, Fornari, C, Foroushani, ABK, Fotso, DC, Fourches, D, Friend, S, Frigessi, A, Gao, F, Gao, X, Garnett, MJ, Gerold, JM, Gestraud, P, Ghazoui, Z, Ghosh, S, Gillberg, J, Godoy-Lorite, A, Godynyuk, L, Godzik, A, Goldenberg, A, Gomez-Cabrero, D, Gonen, M, Gray, H, Grechkin, M, Guan, Y, Guimera, R, Guinney, J, Guney, E, Haibe-Kains, B, Han, Y, Hase, T, He, D, He, L, Heath, LS, Hellton, KH, Helmer-Citterich, M, Hidalgo, MR, Hidru, D, Hill, SM, Hochreiter, S, Hong, S, Hovig, E, Hsueh, Y-C, Hu, Z, Huang, JK, Huang, RS, Hunyady, L, Hwang, J, Hwang, TH, Hwang, W, Hwang, Y, Isayev, O, Jack, J, Jahandideh, S, Jang, IS, Jeon, M, Ji, J, Jo, Y, Kamola, PJ, Kanev, GK, Kang, J, Karacosta, L, Karimi, M, Kaski, S, Kazanov, M, Khamis, AM, Khan, SA, Kiani, NA, Kim, A, Kim, J, Kim, J, Kim, K, Kim, K, Kim, S, Kim, Y, Kim, Y, Kirk, PDW, Kitano, H, Klambauer, G, Knowles, D, Ko, M, Kohn-Luque, A, Kooistra, AJ, Kuenemann, MA, Kuiper, M, Kurz, C, Kwon, M, Laegreid, A, Lederer, S, Lee, H, Lee, J, Lee, YW, Leppaho, E, Lewis, R, Li, J, Li, L, Liley, J, Lim, WK, Lin, C, Liu, Y, Lopez, Y, Low, J, Lysenko, A, Machado, D, Madhukar, N, Malpartida, AB, Mamitsuka, H, Marabita, F, Marchal, K, Marttinen, P, Mason, D, Mason, MJ, Mazaheri, A, Mehmood, A, Mehreen, A, Menden, MP, Michaut, M, Miller, RA, Mitsopoulos, C, Modos, D, Moo, K, Motsinger-Reif, A, Movva, R, Muraru, S, Muratov, E, Mushthofa, M, Nagarajan, N, Nakken, S, Nath, A, Neto, EC, Neuvial, P, Newton, R, Nguyen, T, Ning, Z, Norman, T, Oliva, B, Olsen, C, Palmeri, A, Panesar, B, Papadopoulos, S, Park, J, Park, S, Park, S, Pawitan, Y, Peluso, D, Pendyala, S, Peng, J, Perfetto, L, Pirro, S, Plevritis, S, Politi, R, Poon, H, Porta, E, Prellner, I, Preuer, K, Ramnarine, R, Reid, JE, Reyal, F, Richardson, S, Ricketts, C, Rieswijk, L, Rocha, M, Rodriguez-Gonzalvez, C, Roell, K, Romeo Aznar, V, Rotroff, D, Rukawa, P, Sadacca, B, Saez-Rodriguez, J, Safikhani, Z, Safitri, F, Sales-Pardo, M, Sauer, S, Schlichting, M, Seoane, JA, Serra, J, Shang, M-M, Sharma, A, Sharma, H, Shen, Y, Shiga, M, Shin, M, Shkedy, Z, Shopsowitz, K, Sinai, S, Skola, D, Smirnov, P, Soerensen, IF, Soerensen, P, Song, J-H, Song, SO, Soufan, O, Spitzmueller, A, Steipe, B, Stolovitzky, G, Suphavilai, C, Szalai, B, Tamayo, SP, Tamborero, D, Tang, EKY, Tang, J, Tanoli, Z-U-R, Tarres-Deulofeu, M, Tegner, J, Thommesen, L, Tonekaboni, SAM, Tran, H, Truong, A, Tsunoda, T, Turu, G, Tzeng, G-Y, Van Daele, D, van Engelen, B, van Laarhoven, T, Van Moerbeke, M, van Westen, GJP, Verbeke, L, Videla, S, Vis, D, Vogel, R, Voronkov, A, Votis, K, Walk, OBD, Wang, A, Wang, D, Wang, H-QH, Wang, P-W, Wang, S, Wang, W, Wang, X, Wang, X, Wennerberg, K, Wernisch, L, Wessels, L, Westerman, BA, White, SR, Wijayawardena, B, Willighagen, E, Wolfinger, R, Wurdinger, T, Xie, L, Xie, S, Xu, H, Yadav, B, Yau, C, Yeerna, H, Yin, JW, Yu, M, Yu, M, Yu, T, Yun, SJ, Zakharov, A, Zamichos, A, Zanin, M, Zaslavskiy, M, Zeng, L, Zenil, H, Zhang, F, Zhang, P, Zhang, W, Zhao, H, Zhao, L, Zheng, W, Zoufir, A, Zucknick, M +354 morecore +21 more sourcesThe targeted delivery of multicomponent cargos to cancer cells by nanoporous particle-supported lipid bilayers. [PDF]
, 2011 Encapsulation of drugs within nanocarriers that selectively target malignant cells promises to mitigate side effects of conventional chemotherapy and to enable delivery of the unique drug combinations needed for personalized medicine.Ashley, Carlee E, Brinker, C Jeffrey, Brown, Page A, Carnes, Eric C, Carroll, Nick J, Carter, Mark B, Chackerian, Bryce, Dunphy, Darren R, Durfee, Paul N, Evans, Deborah G, Hanna, Tracey N, Jiang, Xingmao, Liu, Juewen, Padilla, David, Parikh, Atul N, Peabody, David S, Petsev, Dimiter N, Phillips, Brandy, Phillips, Genevieve K, Wharton, Walker, Willman, Cheryl L +20 morecore +2 more sourcesDRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity. [PDF]
, 2018 An individual malignant tumor is composed of a heterogeneous collection of single cells with distinct molecular and phenotypic features, a phenomenon termed intratumoral heterogeneity.Anchang, Benedict, Bendall, Sean C, Davis, Kara L, Fienberg, Harris G, Karacosta, Loukia G, Nolan, Garry P, Plevritis, Sylvia K, Tibshirani, Robert, Williamson, Brian D +8 morecore +1 more sourceNetwork-based prediction of drug combinations
Nature Communications, 2019 Combination therapy holds great promise, but discovery remains challenging. Here, the authors propose a method to identify efficacious drug combinations for specific diseases, and find that successful combinations tend to target separate neighbourhoods ...Feixiong Cheng, István A. Kovács, Albert-László Barabási +2 moredoaj +1 more sourceImproved Network Performance via Antagonism: From Synthetic Rescues to
Multi-drug Combinations [PDF]
, 2010 Recent research shows that a faulty or sub-optimally operating metabolic
network can often be rescued by the targeted removal of enzyme-coding
genes--the exact opposite of what traditional gene therapy would suggest.Adilson E. Motter, Baba, Blagosklonny, Bollenbach, Bourgeois, Burgard, Burgard, Cagatay, Chait, Cun, Dancey, Duarte, Edwards, Feist, Fischer, Fong, Fong, Fong, Fong, Fraenkel, Gerdes, Giaever, Goebl, Harrison, Hashimoto, Hegreness, Henry, Herring, Hilgetag, Hilgetag, Hillenmeyer, Hopkins, Huttenlocher, Huttenlocher, Isalan, Kauffman, Keiser, Kim, Kitano, Kupiec, Ma, Miller, Motter, Motter, Nishikawa, Olson, Palsson, Papp, Pharkya, Reguly, Segre, Segre, Shlomi, Timmermans, Wagner, Yeh, Yildirim, Yngvadottir, Zamboni +58 morecore +3 more sources