Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Yijie Ding"'
Publikováno v:
Fundamental Research, Vol 4, Iss 4, Pp 715-737 (2024)
Drug discovery is costly and time consuming, and modern drug discovery endeavors are progressively reliant on computational methodologies, aiming to mitigate temporal and financial expenditures associated with the process. In particular, the time req
Externí odkaz:
https://doaj.org/article/abe1d527aa9d49e99689609b6ec50f03
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012229 (2024)
De novo drug design is crucial in advancing drug discovery, which aims to generate new drugs with specific pharmacological properties. Recently, deep generative models have achieved inspiring progress in generating drug-like compounds. However, the m
Externí odkaz:
https://doaj.org/article/49f1967bc5054099a4d4ebf1d7bd61ee
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 13149-13170 (2023)
DNA-binding proteins (DBPs) play a critical role in the development of drugs for treating genetic diseases and in DNA biology research. It is essential for predicting DNA-binding proteins more accurately and efficiently. In this paper, a Laplacian Lo
Externí odkaz:
https://doaj.org/article/dbc1cea8e5e5400784f34091b2a81b2f
Autor:
Yijie Ding, Fanglei Zhong
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
It is widely recognized that inequalities in social status cause inequalities in health. Women in a family often directly influence three generations–women themselves, their children and their parents -yet the effect of women’s family status on t
Externí odkaz:
https://doaj.org/article/dd33494e75e24dd68cf2ac43c708e53e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 13829-13850 (2022)
Biological sequence analysis is an important basic research work in the field of bioinformatics. With the explosive growth of data, machine learning methods play an increasingly important role in biological sequence analysis. By constructing a classi
Externí odkaz:
https://doaj.org/article/e5edf62019494d7fb4384055a021070e
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: The physical interactions between enhancers and promoters are often involved in gene transcriptional regulation. High tissue-specific enhancer-promoter interactions (EPIs) are responsible for the differential expression of genes. Experi
Externí odkaz:
https://doaj.org/article/5fda1721957641a88757f258bc4dfff5
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: Various activities in biological cells are affected by three-dimensional genome structure. The insulators play an important role in the organization of higher-order structure. CTCF is a representative of mammalian insulators, which can
Externí odkaz:
https://doaj.org/article/a6b4248271a14377b8d15544afa0080a
Autor:
Jun Yan, Tengsheng Jiang, Junkai Liu, Yaoyao Lu, Shixuan Guan, Haiou Li, Hongjie Wu, Yijie Ding
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 8, Pp 7719-7736 (2022)
The study of DNA binding proteins (DBPs) is of great importance in the biomedical field and plays a key role in this field. At present, many researchers are working on the prediction and detection of DBPs. Traditional DBP prediction mainly uses machi
Externí odkaz:
https://doaj.org/article/c2ad5b7c728a48aaa527a93b82e56cf5
Autor:
Qiuyan Li, Xuye Jiang, Yujia Zhou, Yingying Gu, Yijie Ding, Jing Luo, Nengzhi Pang, Yan Sun, Lei Pei, Jie Pan, Mengqi Gao, Sixi Ma, Ying Xiao, De Hu, Feilong Wu, Lili Yang
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 12, p 10015 (2023)
High-fat diet (HFD)-induced insulin resistance (IR) in skeletal muscle is often accompanied by mitochondrial dysfunction and oxidative stress. Boosting nicotinamide adenine dinucleotide (NAD) using nicotinamide riboside (NR) can effectively decrease
Externí odkaz:
https://doaj.org/article/c375ed4acdf942c5aed1bb23e50318a2
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S3, Pp 1-18 (2021)
Abstract Background RNA secondary structure prediction is an important research content in the field of biological information. Predicting RNA secondary structure with pseudoknots has been proved to be an NP-hard problem. Traditional machine learning
Externí odkaz:
https://doaj.org/article/4143362213044d99b78244c1bb873eda