Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Chengfei Yan"'
Autor:
Yunda Si, Chengfei Yan
Publikováno v:
eLife, Vol 12 (2024)
Accurate prediction of contacting residue pairs between interacting proteins is very useful for structural characterization of protein–protein interactions. Although significant improvement has been made in inter-protein contact prediction recently
Externí odkaz:
https://doaj.org/article/20faab102b134ac0a45c5b858a91fa76
Autor:
Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a specific application subdomain, in t
Externí odkaz:
https://doaj.org/article/87af48c4265343c5950599e90d4d8cd4
Publikováno v:
Green Materials. :1-9
Fluorescent polyurethanes (FPU) have been widely used in coatings, temperature recognition, fluorescent probes, and other fields because of their diverse structures and properties. Unfortunately, most FPUs are currently produced from petroleum-based
Publikováno v:
Journal of Fluorescence.
Autor:
Yunda Si, Chengfei Yan
Accurate prediction of contacting residue pairs between interacting proteins is very useful for structural characterization of protein-protein interactions (PPIs). Although significant improvement has been made in inter-protein contact prediction rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42cacc1eb360eebfdd24efd825494bf
https://doi.org/10.1101/2023.01.07.523121
https://doi.org/10.1101/2023.01.07.523121
Autor:
Joel Rozowsky, Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur Galeev, Gamze Gürsoy, Charles B. Epstein, Kun Xiong, Jinrui Xu, Tianxiao Li, Jason Liu, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Maxwell S. Sun, James Wright, Justin Chang, Christopher J.F. Cameron, Noam Shoresh, Elizabeth Gaskell, Jorg Drenkow, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B. Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A. Davis, Daniel Farid, Nina P. Farrell, Idan Gabdank, Yoel Gofin, David U. Gorkin, Mengting Gu, Vivian Hecht, Benjamin C. Hitz, Robbyn Issner, Yunzhe Jiang, Melanie Kirsche, Xiangmeng Kong, Bonita R. Lam, Shantao Li, Bian Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Ran Meng, Jill E. Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E. Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M. Schreiber, Fritz J. Sedlazeck, Lei Hoon See, Rachel M. Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y. Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M. Mendenhall, William S. Noble, Zhiping Weng, Morgan E. Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M. Myers, Michael P. Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C. Schatz, Bradley E. Bernstein, Roderic Guigó, Thomas R. Gingeras, Mark Gerstein
Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of 1,635 open-access datasets from four don
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::464939170ba93b49ee4e474d325702f1
http://hdl.handle.net/10230/56942
http://hdl.handle.net/10230/56942
Publikováno v:
Colloid and Polymer Science. 299:1489-1498
Green renewable resource has become a global hot spot. In this study, naturally occurring resource rosin derivative (RAG) was used to prepared a cationic waterborne polyurethane (WPU) dispersion using n-methyl di-ethanolamine (MDEA) as an ion center
Autor:
Yunda Si, Chengfei Yan
The knowledge of contacting residue pairs between interacting proteins is very useful for the structural characterization of protein–protein interactions (PPIs). However, accurately identifying the tens of contacting ones from hundreds of thousands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896a2a5e5ff1a1680669dce67a306a0e
https://doi.org/10.1101/2022.08.04.502748
https://doi.org/10.1101/2022.08.04.502748
Autor:
Jiang Zhao, Xing Luo, Chengfei Yang, Xiao Yang, Min Deng, Bishao Sun, Jingzhen Zhu, Zongming Dong, Yangcai Wang, Jia Li, Xingliang Yang, Benyi Li, Xiangwei Wang, Ji Zheng
Publikováno v:
Immunity & Ageing, Vol 21, Iss 1, Pp 1-17 (2024)
Abstract Background Research has suggested significant correlations among ageing, immune microenvironment, inflammation and tumours. However, the relationships among ageing, immune microenvironment, cystitis and bladder urothelial carcinoma (BLCA) in
Externí odkaz:
https://doaj.org/article/2c8fb7538eb24c928899ae7ef719f398
Autor:
Chengfei Yan, Yunda Si
Publikováno v:
Briefings in bioinformatics. 22(6)
Deep residual learning has shown great success in protein contact prediction. In this study, a new deep residual learning-based protein contact prediction model was developed. Comparing with previous models, a new type of residual block hybridizing 1