Global Intelligence Database
A thirty-year bibliometric review identifies a geopolitical dual-core in biotechnology, with the US and China leading distinct collaboration networks. The sector has decisively shifted from basic transgenic methods to CRISPR-Cas9, signalling a future dominated by digitised breeding and synthetic biology.
By Xu, Wang, Zhang, Cao, He
Scientists have developed a new theoretical framework to understand how a single organic molecule efficiently converts heat into electricity. Their modelling reveals that a quantum effect in a molecule known as BDPA dramatically boosts its energy conversion potential, paving the way for flexible and low-cost thermoelectric devices.
By Wang, Wan, Xiao, Shen, Liu, Peng, Jing, Xiong
Researchers have successfully employed machine learning to predict how volatile chemicals interact with moth scent proteins, significantly speeding up the search for effective pest control agents. The study identified the LightGBM algorithm as the superior tool for mapping these complex molecular relationships, outperforming traditional linear models.
By López-Cortés, Fernández, Lara, Manríquez-Troncoso, Venthur
Researchers identified a novel frameshift deletion variant in the TSC2 gene of a 12-year-old boy presenting with skin lesions, seizures, and autistic behaviors. Using exome sequencing and molecular dynamics simulations, they pinpointed the variant's structural and functional consequences, including decreased stability and modified conformational movements of the tuberin protein. This integrated approach highlights its use for TSC diagnosis and genetic counseling, and provides crucial molecular insights that could guide future therapeutic strategies, including mTOR pathway modulation.
By Fadaie, Biglari, Vahidnezhad, Tabatabaiefar, Moghaddam, Khalafiyan, Onagh, Sarli, Khorshid, Esmaeilzadeh