Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Wesley Wei Qian"'
Autor:
Yunan Luo, Guangde Jiang, Tianhao Yu, Yang Liu, Lam Vo, Hantian Ding, Yufeng Su, Wesley Wei Qian, Huimin Zhao, Jian Peng
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Protein engineering is an active area of research in which machine learning has proven quite powerful. Here, the authors present a deep learning method that integrates both general and protein-specific sequence representations to improve the engineer
Externí odkaz:
https://doaj.org/article/0bb0a79962b04f8bba4f09b68761698c
Autor:
Dmitri Segal, Stefan Maier, Giovanni J. Mastromarco, Wesley Wei Qian, Syed Nabeel-Shah, Hyunmin Lee, Gaelen Moore, Jessica Lacoste, Brett Larsen, Zhen-Yuan Lin, Abeeshan Selvabaskaran, Karen Liu, Craig Smibert, Zhaolei Zhang, Jack Greenblatt, Jian Peng, Hyun O. Lee, Anne-Claude Gingras, Mikko Taipale
Publikováno v:
Molecular Cell. 83:974-993.e15
Autor:
Jake Baum, Michelle Dimon, Wesley Wei Qian, George W. Ashdown, Jian Peng, D. Michael Ando, Subhashini Venugopalan, Arunachalam Narayanaswamy, Cassandra Xia
Publikováno v:
Bioinformatics. 36:i875-i883
Motivation Advances in automation and imaging have made it possible to capture a large image dataset that spans multiple experimental batches of data. However, accurate biological comparison across the batches is challenged by batch-to-batch variatio
Autor:
Jian Peng, Tianhao Yu, Huimin Zhao, Yang Liu, Yunan Luo, Lam Vo, Wesley Wei Qian, Guangde Jiang, Yufeng Su, Hantian Ding
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Machine learning has been increasingly used for protein engineering. However, because the general sequence contexts they capture are not specific to the protein being engineered, the accuracy of existing machine learning algorithms is rather limited.
Autor:
D. Michael Ando, Arunachalam Narayanaswamy, Cassandra Xia, Wesley Wei Qian, Jian Peng, Subhashini Venugopalan
Advances in automation and imaging have made it possible to capture large image datasets for experiments that span multiple weeks with multiple experimental batches of data. However, accurate biological comparisons across the batches is challenged by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8e0f69aa7dd2d89504d2aafe0f4e818
https://doi.org/10.1101/2020.02.07.939215
https://doi.org/10.1101/2020.02.07.939215
Autor:
Wesley Wei Qian, Nathan T. Russell, Claire L. W. Simons, Yunan Luo, Martin D. Burke, Jian Peng
Accurate in silico models for the prediction of novel chemical reaction outcomes can be used to guide the rapid discovery of new reactivity and enable novel synthesis strategies for newly discovered lead compounds. Recent advances in machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::200756f3d71af46ffed29e5ac3a98315
https://doi.org/10.26434/chemrxiv.11659563
https://doi.org/10.26434/chemrxiv.11659563
Autor:
Huimin Zhao, Yunan Luo, Lam Vo, Hantian Ding, Wesley Wei Qian, Yang Liu, Yufeng Su, Jian Peng
Protein engineering seeks to design proteins with improved or novel functions. Compared to rational design and directed evolution approaches, machine learning-guided approaches traverse the fitness landscape more effectively and hold the promise for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc091dcecbf5bb5ab8a9061bbd6298e0
Autor:
Wesley Wei Qian, Yang Liu, Yunan Luo, Huimin Zhao, Hantian Ding, Yufeng Su, Jian Peng, Lam Vo
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030452568
RECOMB
RECOMB
Protein engineering seeks to design proteins with improved or novel functions. Compared to rational design and directed evolution approaches, machine learning-guided approaches traverse the fitness landscape more effectively and hold the promise for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5483c482748cafc20be0b77a00bdeeb
https://doi.org/10.1007/978-3-030-45257-5_30
https://doi.org/10.1007/978-3-030-45257-5_30
Autor:
Anne-Claude Gingras, Wesley Wei Qian, Nader Alerasool, Zhen Yuan Lin, Jian Peng, Mikko Taipale, Brett Larsen, Jessica Lacoste, Eric I. Campos, Benjamin L. Piette, Stephanie Tran, Mandy H. Y. Lam
Publikováno v:
Molecular Cell. 81:2549-2565.e8
Hsp70s comprise a deeply conserved chaperone family that has a central role in maintaining protein homeostasis. In humans, Hsp70 client specificity is provided by 49 different co-factors known as J domain proteins (JDPs). However, the cellular functi