Results 21 to 30 of about 769,426 (246)
Customizing the therapeutic response of signaling networks to promote antitumor responses by drug combinations [PDF]
, 2014 Drug resistance, de novo and acquired, pervades cellular signaling networks (SNs) from one signaling motif to another as a result of cancer progression and/or drug intervention.Bown, James L., Goltsov, Alexey, Goltsov, Gregory, Harrison, David J., Langdon, Simon P. +4 morecore +4 more sourcesCommunity 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 +20 more sourcesPrevalence and patterns of higher-order drug interactions in Escherichia coli. [PDF]
, 2018 Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components.Cruz-Loya, Mauricio, Damoiseaux, Robert, Kang, Tina Manzhu, Savage, Van M, Singh, Nina, Tekin, Elif, White, Cynthia, Yeh, Pamela J +7 morecore +2 more sourcesSynergistic drug combinations from electronic health records and gene expression. [PDF]
, 2016 ObjectiveUsing electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs provide real-world treatment and outcome patterns, while complementary biomolecular data, including ...Chen, William, Daugherty, Aaron C, Desai, Manisha, Farrington, Carl, Gomez, Scarlett L, Hastie, Trevor, Kenkare, Pragati, Kurian, Allison W, Lim, Michael, Low, Yen S, Mathur, Maya, Radin, Andrew A, Schroeder, Elizabeth A, Seto, Tina, Shah, Nigam H, Sirota, Marina, Sledge, George W, Thompson, Caroline A, Weber, Susan, Yu, Peter P +19 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 sourceThe 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 sources
