Search Results - "Low, Yen S"

A widely distributed gene cluster compensates for uricase loss in hominids by Liu, Yuanyuan, Jarman, J. Bryce, Low, Yen S., Augustijn, Hannah E., Huang, Steven, Chen, Haoqing, DeFeo, Mary E., Sekiba, Kazuma, Hou, Bi-Huei, Meng, Xiandong, Weakley, Allison M., Cabrera, Ashley V., Zhou, Zhiwei, van Wezel, Gilles, Medema, Marnix H., Ganesan, Calyani, Pao, Alan C., Gombar, Saurabh, Dodd, Dylan

“…Approximately 15% of US adults have circulating levels of uric acid above its solubility limit, which is causally linked to the disease gout. In most mammals,…”
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A widely distributed gene cluster compensates for uricase loss in hominids by Liu, Yuanyuan, Jarman, J. Bryce, Low, Yen S., Augustijn, Hannah E., Huang, Steven, Chen, Haoqing, DeFeo, Mary E., Sekiba, Kazuma, Hou, Bi-Huei, Meng, Xiandong, Weakley, Allison M., Cabrera, Ashley V., Zhou, Zhiwei, van Wezel, Gilles, Medema, Marnix H., Ganesan, Calyani, Pao, Alan C., Gombar, Saurabh, Dodd, Dylan

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Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure–Activity Relationships by Low, Yen S, Alves, Vinicius M, Fourches, Denis, Sedykh, Alexander, Andrade, Carolina Horta, Muratov, Eugene N, Rusyn, Ivan, Tropsha, Alexander

“…Quantitative structure–activity relationships (QSAR) models are often seen as a “black box” because they are considered difficult to interpret. Meanwhile,…”
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Repurposing cAMP-Modulating Medications to Promote β-Cell Replication by Zhao, Zhenshan, Low, Yen S, Armstrong, Neali A, Ryu, Jennifer Hyoje, Sun, Sara A, Arvanites, Anthony C, Hollister-Lock, Jennifer, Shah, Nigam H, Weir, Gordon C, Annes, Justin P

“…Loss of β-cell mass is a cardinal feature of diabetes. Consequently, developing medications to promote β-cell regeneration is a priority. cAMP is an…”
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Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome by Low, Yen S, Caster, Ola, Bergvall, Tomas, Fourches, Denis, Zang, Xiaoling, Norén, G Niklas, Rusyn, Ivan, Edwards, Ralph, Tropsha, Alexander

“…Objective Quantitative Structure-Activity Relationship (QSAR) models can predict adverse drug reactions (ADRs), and thus provide early warnings of potential…”
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Synergistic drug combinations from electronic health records and gene expression by Low, Yen S, Daugherty, Aaron C, Schroeder, Elizabeth A, Chen, William, Seto, Tina, Weber, Susan, Lim, Michael, Hastie, Trevor, Mathur, Maya, Desai, Manisha, Farrington, Carl, Radin, Andrew A, Sirota, Marina, Kenkare, Pragati, Thompson, Caroline A, Yu, Peter P, Gomez, Scarlett L, Sledge, George W, Kurian, Allison W, Shah, Nigam H

“…ABSTRACT Objective: Using electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs…”
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Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays by Low, Yen Sia, Sedykh, Alexander Yeugenyevich, Rusyn, Ivan, Tropsha, Alexander

“…Cheminformatics approaches such as Quantitative Structure Activity Relationship (QSAR) modeling have been used traditionally for predicting chemical toxicity…”
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