Yue Bi

Sep 18, 2024 | mdpi.com | Sile Hu |Jiaqiang Yang |Yu Guo |Yue Bi

1. IntroductionIn recent years, the rapid development of new energy sources, particularly wind power and photovoltaics, has gradually established them as the primary power sources within power systems. As early as 2010–2015, China [1], the United States [2], and Europe [3] each proposed visions for constructing high-proportion new energy power systems by 2050, targeting penetration rates of 60%, 80%, or even 100%.

Jul 2, 2024 | biorxiv.org | Tong Pan |Yue Bi |Xiaoyu Wang |Ying Zhang

AbstractThe accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme functional and structural information.

May 8, 2024 | biorxiv.org | Yue Bi |Fuyi Li |Cong Wang |Tong Pan

AbstractMicro RNAs (miRNAs) are short non-coding RNAs involved in various cellular processes, playing a crucial role in gene regulation. Identifying miRNA targets remains a central challenge and is pivotal for elucidating the complex gene regulatory networks. Traditional computational approaches have predominantly focused on identifying miRNA targets through perfect Watson-Crick base pairings within the seed region, referred to as canonical sites.

May 7, 2024 | biorxiv.org | Yue Bi |Fuyi Li |Cong Wang |Tong Pan

AbstractMicro RNAs (miRNAs) are short non-coding RNAs involved in various cellular processes, playing a crucial role in gene regulation. Identifying miRNA targets remains a central challenge and is pivotal for elucidating the complex gene regulatory networks. Traditional computational approaches have predominantly focused on identifying miRNA targets through perfect Watson-Crick base pairings within the seed region, referred to as canonical sites.