Zobrazeno 1 - 10
of 345
pro vyhledávání: '"Yuedong, Yang"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 523-532 (2024)
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL) and is characterized by high heterogeneity. Assessment of its prognosis and genetic subtyping hold significant clinical implications. However, existing DLB
Externí odkaz:
https://doaj.org/article/42fdc8e7509947c988d1bf20f67a8172
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Cryo-electron microscopy (cryo-EM) technique is widely used for protein structure determination. Current automatic cryo-EM protein complex modeling methods mostly rely on prior chain separation. However, chain separation without sequence gui
Externí odkaz:
https://doaj.org/article/b980a375a1984b3fbb07e1bd38464cb9
Autor:
Yuansong Zeng, Yujie Song, Chengyang Zhang, Haoxuan Li, Yongkang Zhao, Weijiang Yu, Shiqi Zhang, Hongyu Zhang, Zhiming Dai, Yuedong Yang
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Image-based spatial transcriptomic sequencing technologies have enabled the measurement of gene expression at single-cell resolution, but with a limited number of genes. Current computational approaches attempt to overcome these limitations
Externí odkaz:
https://doaj.org/article/9ea02825a37845099d5a43d0ba30264b
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Enzymes are crucial in numerous biological processes, with the Enzyme Commission (EC) number being a commonly used method for defining enzyme function. However, current EC number prediction technologies have not fully recognized the importan
Externí odkaz:
https://doaj.org/article/909cbed48ecf4539a89c6aa511f52338
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract Despite recent advancement in 3D molecule conformation generation driven by diffusion models, its high computational cost in iterative diffusion/denoising process limits its application. Here, an equivariant consistency model (EC-Conf) was p
Externí odkaz:
https://doaj.org/article/57bbd00555b9414d9b1a942e5d7a9036
Publikováno v:
Food Chemistry: X, Vol 24, Iss , Pp 101829- (2024)
Non-starch polysaccharides are major bioactive components in chestnuts, and can serve as water-soluble polysaccharides with potential prebiotic properties. This study aims to establish an in vitro digestion and fermentation model to reveal the digest
Externí odkaz:
https://doaj.org/article/d8bcc09b6ba24daf982558af5bea3e43
Autor:
Jiahua Rao, Jiancong Xie, Qianmu Yuan, Deqin Liu, Zhen Wang, Yutong Lu, Shuangjia Zheng, Yuedong Yang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Protein functions are characterized by interactions with proteins, drugs, and other biomolecules. Understanding these interactions is essential for deciphering the molecular mechanisms underlying biological processes and developing new thera
Externí odkaz:
https://doaj.org/article/15995af6663f46b18f7c2dec20cab4db
Autor:
Shuangjia Zheng, Jiahua Rao, Jixian Zhang, Lianyu Zhou, Jiancong Xie, Ethan Cohen, Wei Lu, Chengtao Li, Yuedong Yang
Publikováno v:
Advanced Science, Vol 11, Iss 32, Pp n/a-n/a (2024)
Abstract Constructing discriminative representations of molecules lies at the core of a number of domains such as drug discovery, chemistry, and medicine. State‐of‐the‐art methods employ graph neural networks and self‐supervised learning (SSL
Externí odkaz:
https://doaj.org/article/492e0c27d45f4458ad81c4551fe9f284
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background Predicting outcome of breast cancer is important for selecting appropriate treatments and prolonging the survival periods of patients. Recently, different deep learning-based methods have been carefully designed for cancer outcome
Externí odkaz:
https://doaj.org/article/a9125ce6a3d94537bb6feb129b385245
Publikováno v:
eLife, Vol 13 (2024)
Revealing protein binding sites with other molecules, such as nucleic acids, peptides, or small ligands, sheds light on disease mechanism elucidation and novel drug design. With the explosive growth of proteins in sequence databases, how to accuratel
Externí odkaz:
https://doaj.org/article/58a108748c8d4f408ffa65aa5e2a6346