Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fusong Ju"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Pseudoknots are key structure motifs of RNA and pseudoknotted RNAs play important roles in a variety of biological processes. Here, we present KnotFold, an accurate approach to the prediction of RNA secondary structure including pseudoknots.
Externí odkaz:
https://doaj.org/article/3f869d7f29424edd9dbaf52d7e454fbd
Autor:
Yongge Li, Fusong Ju, Zhiyuan Chen, Yiming Qu, Huanhuan Xia, Liang He, Lijun Wu, Jianwei Zhu, Bin Shao, Pan Deng
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-22 (2023)
Abstract Linking cis-regulatory sequences to target genes has been a long-standing challenge. In this study, we introduce CREaTor, an attention-based deep neural network designed to model cis-regulatory patterns for genomic elements up to 2 Mb from t
Externí odkaz:
https://doaj.org/article/8301baf79806450b87a353ce4bd1a17f
Autor:
Bin Huang, Lupeng Kong, Chao Wang, Fusong Ju, Qi Zhang, Jianwei Zhu, Tiansu Gong, Haicang Zhang, Chungong Yu, Wei-Mou Zheng, Dongbo Bu
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 5, Pp 913-925 (2023)
Protein structure prediction is an interdisciplinary research topic that has attracted researchers from multiple fields, including biochemistry, medicine, physics, mathematics, and computer science. These researchers adopt various research paradigms
Externí odkaz:
https://doaj.org/article/b6cf23fc3363470094a5dbb6e40b4367
Autor:
Bin Huang, Guozheng Wei, Bing Wang, Fusong Ju, Yi Zhong, Zhuozheng Shi, Shiwei Sun, Dongbo Bu
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Optical maps record locations of specific enzyme recognition sites within long genome fragments. This long-distance information enables aligning genome assembly contigs onto optical maps and ordering contigs into scaffolds. The ge
Externí odkaz:
https://doaj.org/article/703c2c27b1fb48eb846fd8ea00a47d3b
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background Accurate prediction of protein tertiary structures is highly desired as the knowledge of protein structures provides invaluable insights into protein functions. We have designed two approaches to protein structure prediction, incl
Externí odkaz:
https://doaj.org/article/8ebd7756e88a456bbbc1c44d3d008136
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Protein structure prediction is a challenge. A new deep learning framework, CopulaNet, is a major step forward toward end-to-end prediction of inter-residue distances and protein tertiary structures with improved accuracy and efficiency.
Externí odkaz:
https://doaj.org/article/33cc2239e1a44129b8b0dddfeb060858
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background The formation of contacts among protein secondary structure elements (SSEs) is an important step in protein folding as it determines topology of protein tertiary structure; hence, inferring inter-SSE contacts is crucial to protein
Externí odkaz:
https://doaj.org/article/b4a31ab8b1724892b4756a4f3d6941dd
Autor:
Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
Following publication of the original article [1], the author explained that there are several errors in the original article
Externí odkaz:
https://doaj.org/article/2e58a64245b646258573c7bf39d71a21
Autor:
Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Background Accurate prediction of inter-residue contacts of a protein is important to calculating its tertiary structure. Analysis of co-evolutionary events among residues has been proved effective in inferring inter-residue contacts. The Ma
Externí odkaz:
https://doaj.org/article/3d3034c6acca478a81f62622fb285405
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67934cb2b19deb24425c23aacbee5582
https://doi.org/10.1109/tcbb.2023.3240456
https://doi.org/10.1109/tcbb.2023.3240456