Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Xianfang Wang"'
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100268- (2024)
Addressing the problem of the difficulty in providing timely and reasonable feedback evaluation for student project reports, this paper proposes a method based on LLMs (Large Language Models) that can automatically generate instant feedback evaluatio
Externí odkaz:
https://doaj.org/article/520470b6816a4f1b90aeeebc62f25214
Publikováno v:
Journal of Materials Research and Technology, Vol 24, Iss , Pp 9834-9849 (2023)
Ni–Mo–SrSO4 composites with different Mo amount were prepared by hot pressing in a vacuum. The oxygen-deficient environment derived from the degradation of SrSO4 during fabrication process led to the formation of SrMoO4, Sr2NiMoO6, and SrO in the
Externí odkaz:
https://doaj.org/article/3e0aef8192e34f16bf1d2544833b5320
Publikováno v:
IET Systems Biology, Vol 16, Iss 1, Pp 18-27 (2022)
Abstract Identification of drug–target interactions (DTIs) has great practical importance in the drug discovery process for known diseases. However, only a small proportion of DTIs in these databases has been verified experimentally, and the comput
Externí odkaz:
https://doaj.org/article/ce42c48dbfa84d7a858e0227d02c69d6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3269-3284 (2022)
Research on the relationship between drugs and targets is the key to precision medicine. Ion channel is a kind of important drug targets. Aiming at the urgent needs of corona virus disease 2019 (COVID-19) treatment and drug development, this paper de
Externí odkaz:
https://doaj.org/article/82251b46edda44a5827cad99d1419017
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Alien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Ma
Externí odkaz:
https://doaj.org/article/746a1266e9da4b9b8354012fc10a394b
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Identification of protein–ligand binding sites plays a critical role in drug discovery. However, there is still a lack of targeted drug prediction for DNA-binding proteins. This study aims at the binding sites of DNA-binding proteins and drugs, by
Externí odkaz:
https://doaj.org/article/88662733ba654d20aeeeaf593ddcbbd6
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Deep learning is an effective method to capture drug-target binding affinity, but low accuracy is still an obstacle to be overcome. Thus, we propose a novel predictor for drug-target binding affinity based on dipeptide frequency of word frequency enc
Externí odkaz:
https://doaj.org/article/b2aba73e99a54861808cb5e338f18200
Publikováno v:
Symmetry, Vol 14, Iss 1, p 151 (2022)
Data hiding is the technique of embedding data into video or audio media. With the development of deep neural networks (DNN), the quality of images generated by novel data hiding methods based on DNN is getting better. However, there is still room fo
Externí odkaz:
https://doaj.org/article/7615ef426a5d4b87bcab802e11775872
Publikováno v:
Metrology & Measurement Systems; 2024, Vol. 31 Issue 2, p383-399, 17p
Publikováno v:
Current Bioinformatics. 18:276-284
Background: The interaction between RNA and protein plays an important role in life activities. Long ncRNAs (lncRNAs) are large non-coding RNAs, and have received extensive attention in recent years. Because the interaction between RNA and protein is