Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Linbu Liao"'
Autor:
Michail Yekelchyk, Esha Madan, Jochen Wilhelm, Kirsty R Short, António M Palma, Linbu Liao, Denise Camacho, Everlyne Nkadori, Michael T Winters, Emily S Rice, Inês Rolim, Raquel Cruz‐Duarte, Christopher J Pelham, Masaki Nagane, Kartik Gupta, Sahil Chaudhary, Thomas Braun, Raghavendra Pillappa, Mark S Parker, Thomas Menter, Matthias Matter, Jasmin Dionne Haslbauer, Markus Tolnay, Kornelia D Galior, Kristina A Matkwoskyj, Stephanie M McGregor, Laura K Muller, Emad A Rakha, Antonio Lopez‐Beltran, Ronny Drapkin, Maximilian Ackermann, Paul B Fisher, Steven R Grossman, Andrew K Godwin, Arutha Kulasinghe, Ivan Martinez, Clay B Marsh, Benjamin Tang, Max S Wicha, Kyoung Jae Won, Alexandar Tzankov, Eduardo Moreno, Rajan Gogna
Publikováno v:
EMBO Molecular Medicine, Vol 13, Iss 11, Pp 1-17 (2021)
Abstract Risk stratification of COVID‐19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe‐Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool.
Externí odkaz:
https://doaj.org/article/f8eb078fb27a469bb4350f69d131fd6a
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Computational methods with affordable computational resources are highly desirable for identifying active drug leads from millions of compounds. This requires a model that is both highly efficient and relatively accurate, which cannot be achieved by
Externí odkaz:
https://doaj.org/article/6e97d59f5b91424d8049fd54dcc122d1
Autor:
Haiping Zhang, Konda Mani Saravanan, Jinzhi Lin, Linbu Liao, Justin Tze-Yang Ng, Jiaxiu Zhou, Yanjie Wei
Publikováno v:
PeerJ, Vol 8, p e8864 (2020)
Accurate identification of ligand-binding pockets in a protein is important for structure-based drug design. In recent years, several deep learning models were developed to learn important physical–chemical and spatial information to predict ligand
Externí odkaz:
https://doaj.org/article/93c20f424b9d4a768c57fb0e0fd44743
Publikováno v:
PeerJ, Vol 7, p e7362 (2019)
Proteins interact with small molecules to modulate several important cellular functions. Many acute diseases were cured by small molecule binding in the active site of protein either by inhibition or activation. Currently, there are several docking p
Externí odkaz:
https://doaj.org/article/c3a06a2ffbe246f9ba02206d847ef4f2
Autor:
Haiping, Zhang, Tingting, Zhang, Konda Mani, Saravanan, Linbu, Liao, Hao, Wu, Haishan, Zhang, Huiling, Zhang, Yi, Pan, Xuli, Wu, Yanjie, Wei
Publikováno v:
Methods. 205:247-262
Identifying native-like protein-ligand complexes (PLCs) from an abundance of docking decoys is critical for large-scale virtual drug screening in early-stage drug discovery lead searching efforts. Providing reliable prediction is still a challenge fo
Autor:
Junil Kim, Michaela Mrugala Rothová, Esha Madan, Siyeon Rhee, Guangzheng Weng, António M. Palma, Linbu Liao, Eyal David, Ido Amit, Morteza Chalabi Hajkarim, Vignesh Vudatha, Andrés Gutiérrez-García, Eduardo Moreno, Robert Winn, Jose Trevino, Paul B. Fisher, Joshua M. Brickman, Rajan Gogna, Kyoung Jae Won
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 120(2)
Development of multicellular organisms is orchestrated by persistent cell–cell communication between neighboring partners. Direct interaction between different cell types can induce molecular signals that dictate lineage specification and cell fate
Autor:
Wenju Sun, Wenkai Yi, Xi Wang, Kui Ming Chan, Jilin Zhang, Liang Zhang, Jian Yan, Jussi Taipale, Ligang Fan, Fulin Chen, Jing Ye, Jingyu Li, Linbu Liao, Xiaoyu Li, Xiaoxuan Zhu
Publikováno v:
Nature Methods. 17:685-688
We have developed CRISPR-assisted RNA-protein interaction detection method (CARPID), which leverages CRISPR-CasRx-based RNA targeting and proximity labeling to identify binding proteins of specific long non-coding RNAs (lncRNAs) in the native cellula
Autor:
Haiping Zhang, Tingting Zhang, Konda Mani Saravanan, Linbu Liao, Hao Wu, Haishan Zhang, Huiling Zhang, Yi Pan, Xuli Wu, Yanjie Wei
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Autor:
Junil Kim, Michaela Mrugala Rothová, Esha Madan, Siyeon Rhee, Guangzheng Weng, António M. Palma, Linbu Liao, Eyal David, Ido Amit, Morteza Chalabi Hajkarim, Andrés Gutiérrez-García, Paul B. Fisher, Joshua M. Brickman, Rajan Gogna, Kyoung Jae Won
SummaryDevelopment of multicellular organisms is orchestrated by persistent cell-cell communication between neighboring partners. Direct interaction between different cell types can induce molecular signals that dictate lineage specification and cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03bf7dda4dcfdd383ac1fca35962d9b1
https://doi.org/10.1101/2021.12.02.470916
https://doi.org/10.1101/2021.12.02.470916
Autor:
Christopher J Pelham, Esha Madan, Markus Tolnay, António M Palma, Emad A. Rakha, Stephanie M. McGregor, Maximilian Ackermann, Everlyne Nkadori, Alexandar Tzankov, Laura K. Muller, Linbu Liao, Mark S. Parker, Emily S Rice, Jasmin D. Haslbauer, Thomas Braun, Raquel Cruz-Duarte, Andrew K. Godwin, Max S. Wicha, Thomas Menter, Matthias S. Matter, Denise Camacho, Benjamin Tang, Kirsty R. Short, Kyoung-Jae Won, Paul B. Fisher, Michail Yekelchyk, Kristina A Matkwoskyj, Eduardo Moreno, Sahil Chaudhary, Rajan Gogna, Kornelia Galior, Inês Rolim, Masaki Nagane, Ronny Drapkin, Michael T. Winters, Kartik Gupta, Antonio Lopez-Beltran, Ivan Martinez, Arutha Kulasinghe, Clay B. Marsh, Jochen Wilhelm, Steven R Grossman, Raghavendra Pillappa
Publikováno v:
EMBO Molecular Medicine
Yekelchyk, M, Madan, E, Wilhelm, J, Short, K R, Palma, A M, Liao, L, Camacho, D, Nkadori, E, Winters, M T, Rice, E S, Rolim, I, Cruz-Duarte, R, Pelham, C J, Nagane, M, Gupta, K, Chaudhary, S, Braun, T, Pillappa, R, Parker, M S, Menter, T, Matter, M, Haslbauer, J D, Tolnay, M, Galior, K D, Matkwoskyj, K A, McGregor, S M, Muller, L K, Rakha, E A, Lopez-Beltran, A, Drapkin, R, Ackermann, M, Fisher, P B, Grossman, S R, Godwin, A K, Kulasinghe, A, Martinez, I, Marsh, C B, Tang, B, Wicha, M S, Won, K J, Tzankov, A, Moreno, E & Gogna, R 2021, ' Flower lose, a cell fitness marker, predicts COVID-19 prognosis ', EMBO Molecular Medicine, vol. 13, no. 11, e13714 . https://doi.org/10.15252/emmm.202013714
EMBO Molecular Medicine, Vol 13, Iss 11, Pp n/a-n/a (2021)
Yekelchyk, M, Madan, E, Wilhelm, J, Short, K R, Palma, A M, Liao, L, Camacho, D, Nkadori, E, Winters, M T, Rice, E S, Rolim, I, Cruz-Duarte, R, Pelham, C J, Nagane, M, Gupta, K, Chaudhary, S, Braun, T, Pillappa, R, Parker, M S, Menter, T, Matter, M, Haslbauer, J D, Tolnay, M, Galior, K D, Matkwoskyj, K A, McGregor, S M, Muller, L K, Rakha, E A, Lopez-Beltran, A, Drapkin, R, Ackermann, M, Fisher, P B, Grossman, S R, Godwin, A K, Kulasinghe, A, Martinez, I, Marsh, C B, Tang, B, Wicha, M S, Won, K J, Tzankov, A, Moreno, E & Gogna, R 2021, ' Flower lose, a cell fitness marker, predicts COVID-19 prognosis ', EMBO Molecular Medicine, vol. 13, no. 11, e13714 . https://doi.org/10.15252/emmm.202013714
EMBO Molecular Medicine, Vol 13, Iss 11, Pp n/a-n/a (2021)
Risk stratification of COVID‐19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe‐Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool. Here, we