Search Results - "Vidal, Marc"

Network-based in silico drug efficacy screening by Guney, Emre, Menche, Jörg, Vidal, Marc, Barábasi, Albert-László

“…The increasing cost of drug development together with a significant drop in the number of new drug approvals raises the need for innovative approaches for…”
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Uncovering disease-disease relationships through the incomplete interactome by Menche, Jörg, Sharma, Amitabh, Kitsak, Maksim, Ghiassian, Susan Dina, Vidal, Marc, Loscalzo, Joseph, Barabási, Albert-László

“…A network approach to finding disease modules Shared genes represent a powerful but limited representation of the mechanistic relationship between two…”
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A genome-wide positioning systems network algorithm for in silico drug repurposing by Cheng, Feixiong, Lu, Weiqiang, Liu, Chuang, Fang, Jiansong, Hou, Yuan, Handy, Diane E., Wang, Ruisheng, Zhao, Yuzheng, Yang, Yi, Huang, Jin, Hill, David E., Vidal, Marc, Eng, Charis, Loscalzo, Joseph

“…Recent advances in DNA/RNA sequencing have made it possible to identify new targets rapidly and to repurpose approved drugs for treating heterogeneous diseases…”
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Network-based prediction of protein interactions by Kovács, István A., Luck, Katja, Spirohn, Kerstin, Wang, Yang, Pollis, Carl, Schlabach, Sadie, Bian, Wenting, Kim, Dae-Kyum, Kishore, Nishka, Hao, Tong, Calderwood, Michael A., Vidal, Marc, Barabási, Albert-László

“…Despite exceptional experimental efforts to map out the human interactome, the continued data incompleteness limits our ability to understand the molecular…”
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A Chaperome Subnetwork Safeguards Proteostasis in Aging and Neurodegenerative Disease by Brehme, Marc, Voisine, Cindy, Rolland, Thomas, Wachi, Shinichiro, Soper, James H., Zhu, Yitan, Orton, Kai, Villella, Adriana, Garza, Dan, Vidal, Marc, Ge, Hui, Morimoto, Richard I.

“…Chaperones are central to the proteostasis network (PN) and safeguard the proteome from misfolding, aggregation, and proteotoxicity. We categorized the human…”
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Widespread Expansion of Protein Interaction Capabilities by Alternative Splicing by Yang, Xinping, Coulombe-Huntington, Jasmin, Kang, Shuli, Sheynkman, Gloria M., Hao, Tong, Richardson, Aaron, Sun, Song, Yang, Fan, Shen, Yun A., Murray, Ryan R., Spirohn, Kerstin, Begg, Bridget E., Duran-Frigola, Miquel, MacWilliams, Andrew, Pevzner, Samuel J., Zhong, Quan, Wanamaker, Shelly A., Tam, Stanley, Ghamsari, Lila, Sahni, Nidhi, Yi, Song, Rodriguez, Maria D., Balcha, Dawit, Tan, Guihong, Costanzo, Michael, Andrews, Brenda, Boone, Charles, Zhou, Xianghong J., Salehi-Ashtiani, Kourosh, Charloteaux, Benoit, Chen, Alyce A., Calderwood, Michael A., Aloy, Patrick, Roth, Frederick P., Hill, David E., Iakoucheva, Lilia M., Xia, Yu, Vidal, Marc

“…While alternative splicing is known to diversify the functional characteristics of some genes, the extent to which protein isoforms globally contribute to…”
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human disease network by Goh, Kwang-Il, Cusick, Michael E, Valle, David, Childs, Barton, Vidal, Marc, Barabási, Albert-László

“…A network of disorders and disease genes linked by known disorder-gene associations offers a platform to explore in a single graph-theoretic framework all…”
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A Systematic Screen for CDK4/6 Substrates Links FOXM1 Phosphorylation to Senescence Suppression in Cancer Cells by Anders, Lars, Ke, Nan, Hydbring, Per, Choi, Yoon J., Widlund, Hans R., Chick, Joel M., Zhai, Huili, Vidal, Marc, Gygi, Stephen P., Braun, Pascal, Sicinski, Piotr

“…Cyclin D-dependent kinases (CDK4 and CDK6) are positive regulators of cell cycle entry and they are overactive in the majority of human cancers. However, it is…”
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Spatiotemporal 16p11.2 Protein Network Implicates Cortical Late Mid-Fetal Brain Development and KCTD13-Cul3-RhoA Pathway in Psychiatric Diseases by Lin, Guan Ning, Corominas, Roser, Lemmens, Irma, Yang, Xinping, Tavernier, Jan, Hill, David E., Vidal, Marc, Sebat, Jonathan, Iakoucheva, Lilia M.

“…The psychiatric disorders autism and schizophrenia have a strong genetic component, and copy number variants (CNVs) are firmly implicated. Recurrent deletions…”
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Interactome modeling by Vidal, Marc

“…A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable…”
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A framework for exhaustively mapping functional missense variants by Weile, Jochen, Sun, Song, Cote, Atina G, Knapp, Jennifer, Verby, Marta, Mellor, Joseph C, Wu, Yingzhou, Pons, Carles, Wong, Cassandra, van Lieshout, Natascha, Yang, Fan, Tasan, Murat, Tan, Guihong, Yang, Shan, Fowler, Douglas M, Nussbaum, Robert, Bloom, Jesse D, Vidal, Marc, Hill, David E, Aloy, Patrick, Roth, Frederick P

“…Although we now routinely sequence human genomes, we can confidently identify only a fraction of the sequence variants that have a functional impact. Here, we…”
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Homo cerevisiae -Leveraging Yeast for Investigating Protein-Protein Interactions and Their Role in Human Disease by Laval, Florent, Coppin, Georges, Twizere, Jean-Claude, Vidal, Marc

“…Understanding how genetic variation affects phenotypes represents a major challenge, particularly in the context of human disease. Although numerous…”
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Domain-based prediction of the human isoform interactome provides insights into the functional impact of alternative splicing by Ghadie, Mohamed Ali, Lambourne, Luke, Vidal, Marc, Xia, Yu

“…Alternative splicing is known to remodel protein-protein interaction networks ("interactomes"), yet large-scale determination of isoform-specific interactions…”
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Survey of variation in human transcription factors reveals prevalent DNA binding changes by Barrera, Luis A., Vedenko, Anastasia, Kurland, Jesse V., Rogers, Julia M., Gisselbrecht, Stephen S., Rossin, Elizabeth J., Woodard, Jaie, Mariani, Luca, Kock, Kian Hong, Inukai, Sachi, Siggers, Trevor, Shokri, Leila, Gordân, Raluca, Sahni, Nidhi, Cotsapas, Chris, Hao, Tong, Yi, Song, Kellis, Manolis, Daly, Mark J., Vidal, Marc, Hill, David E., Bulyk, Martha L.

“…Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the…”
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Independently Evolved Virulence Effectors Converge onto Hubs in a Plant Immune System Network by Mukhtar, M. Shahid, Carvunis, Anne-Ruxandra, Dreze, Matija, Epple, Petra, Steinbrenner, Jens, Moore, Jonathan, Tasan, Murat, Galli, Mary, Hao, Tong, Nishimura, Marc T., Pevzner, Samuel J., Donovan, Susan E., Ghamsari, Lila, Santhanam, Balaji, Romero, Viviana, Poulin, Matthew M., Gebreab, Fana, Gutierrez, Bryan J., Tam, Stanley, Monachello, Dario, Boxem, Mike, Harbort, Christopher J., McDonald, Nathan, Gai, Lantian, Chen, Huaming, He, Yijian, Vandenhaute, Jean, Roth, Frederick P., Hill, David E., Ecker, Joseph R., Vidal, Marc, Beynon, Jim, Braun, Pascal, Dang, Jeffery L.

“…Plants generate effective responses to infection by recognizing both conserved and variable pathogen-encoded molecules. Pathogens deploy virulence effector…”
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Convergent Targeting of a Common Host Protein-Network by Pathogen Effectors from Three Kingdoms of Life by Weßling, Ralf, Epple, Petra, Altmann, Stefan, He, Yijian, Yang, Li, Henz, Stefan R., McDonald, Nathan, Wiley, Kristin, Bader, Kai Christian, Gläßer, Christine, Mukhtar, M. Shahid, Haigis, Sabine, Ghamsari, Lila, Stephens, Amber E., Ecker, Joseph R., Vidal, Marc, Jones, Jonathan D.G., Mayer, Klaus F.X., Ver Loren van Themaat, Emiel, Weigel, Detlef, Schulze-Lefert, Paul, Dangl, Jeffery L., Panstruga, Ralph, Braun, Pascal

“…While conceptual principles governing plant immunity are becoming clear, its systems-level organization and the evolutionary dynamic of the…”
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High-Quality Binary Protein Interaction Map of the Yeast Interactome Network by Yu, Haiyuan, Braun, Pascal, Yıldırım, Muhammed A, Lemmens, Irma, Venkatesan, Kavitha, Sahalie, Julie, Hirozane-Kishikawa, Tomoko, Gebreab, Fana, Li, Na, Simonis, Nicolas, Hao, Tong, Rual, Jean-François, Dricot, Amélie, Vazquez, Alexei, Murray, Ryan R, Simon, Christophe, Tardivo, Leah, Tam, Stanley, Svrzikapa, Nenad, Fan, Changyu, de Smet, Anne-Sophie, Motyl, Adriana, Hudson, Michael E, Park, Juyong, Xin, Xiaofeng, Cusick, Michael E, Moore, Troy, Boone, Charlie, Snyder, Michael, Roth, Frederick P, Barabási, Albert-László, Tavernier, Jan, Hill, David E, Vidal, Marc

“…Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary…”
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Human gene-centered transcription factor networks for enhancers and disease variants by Fuxman Bass, Juan I, Sahni, Nidhi, Shrestha, Shaleen, Garcia-Gonzalez, Aurian, Mori, Akihiro, Bhat, Numana, Yi, Song, Hill, David E, Vidal, Marc, Walhout, Albertha J M

“…Gene regulatory networks (GRNs) comprising interactions between transcription factors (TFs) and regulatory loci control development and physiology. Numerous…”
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A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma by Sharma, Amitabh, Menche, Jörg, Huang, C Chris, Ort, Tatiana, Zhou, Xiaobo, Kitsak, Maksim, Sahni, Nidhi, Thibault, Derek, Voung, Linh, Guo, Feng, Ghiassian, Susan Dina, Gulbahce, Natali, Baribaud, Frédéric, Tocker, Joel, Dobrin, Radu, Barnathan, Elliot, Liu, Hao, Panettieri, Jr, Reynold A, Tantisira, Kelan G, Qiu, Weiliang, Raby, Benjamin A, Silverman, Edwin K, Vidal, Marc, Weiss, Scott T, Barabási, Albert-László

“…Recent advances in genetics have spurred rapid progress towards the systematic identification of genes involved in complex diseases. Still, the detailed…”
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Talking Cars, Doubtful Users-A Population Study in Virtual Reality by Derakhshan, Shadi, Nezami, Farbod Nosrat, Wachter, Maximilian Alexander, Czeszumski, Artur, Keshava, Ashima, Lukanov, Hristofor, De Palol, Marc Vidal, Pipa, Gordon, Konig, Peter

“…Autonomous vehicles represent a significant development in our society, and their acceptance will largely depend on trust. This study investigates strategies…”
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