Beijing Jiaotong

Nov 22, 2024 | bmcgenomics.biomedcentral.com | Beijing Jiaotong

As of 15 September, 2023, a total of 860 sequences have been downloaded and classified into three categories: near-complete genome sequences, full-length VP1 sequences, and full-length RdRp sequences. After removing sequences of poor quality, incompleteness, and those publicly disclosed in patents, there were 492 nearly complete sequences remaining, with 365 from humans and 127 from various animals.

Nov 19, 2024 | academic.oup.com | Beijing Jiaotong

Drug repositioning, identifying novel indications for approved drugs, is a cost-effective strategy in drug discovery. Despite numerous proposed drug repositioning models, integrating network-based features, differential gene expression, and chemical structures for high-performance drug repositioning remains challenging. We propose a comprehensive deep pre-training and fine-tuning framework for drug repositioning, termed DrugRepPT.

Nov 19, 2024 | academic.oup.com | Beijing Jiaotong

Drug development constitutes an indispensable part of disease treatment processes. However, it is a laborious, costly, and time-intensive endeavor (Chong and Sullivan 2007, Paul et al. 2010). Studies have shown that developing a new drug typically spans 17–20 years and incurs costs exceeding 2 billion dollars (Chan et al. 2019). As a promising strategy within drug development, drug repositioning (DR) aims to unveil new therapeutic applications for approved drugs.

Nov 18, 2024 | link.springer.com | Beijing Jiaotong |West Chester

AbstractFinancial flexibility, due to its capability in optimizing resource allocation, enhancing operational efficiency, and responding to market changes, has become a crucial strategy for “specialized, refined, differentiated, and innovative” (SRDI) enterprises to address financing difficulties and cash flow management pressures, thereby achieving sustainable development.

Nov 6, 2024 | cjme.springeropen.com | Beijing Jiaotong

As shown in Figure 2a, the virtual material method is an important method for simulating the contact stiffness of the joint surface [24]. It utilizes a thin layer with a specific thickness to represent the contact region. This method requires the generation of solid elements between the contact surfaces of the model. The contact stiffness of the joint surface is determined by parameters such as the Young’s modulus, shear modulus, and Poisson’s ratio of the virtual material.