Dual modality feature fused neural network integrating binding site information for drug target affinity prediction.

Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. The model introduces a binding site-focused graph construction approach to extract binding information, enabling more balanced and efficient modeling of drug-target interactions.

FGF-based drug discovery: advances and challenges.

The fibroblast growth factor (FGF) family comprises 15 paracrine-acting and 3 endocrine-acting polypeptides, which govern a multitude of processes in human development, metabolism and tissue homeostasis. Therapeutic endocrine FGFs have recently advanced in clinical trials, with FGF19 and FGF21-based therapies on the cusp of approval for the treatment of primary sclerosing cholangitis and metabolic syndrome-associated steatohepatitis, respectively. By contrast, while paracrine FGFs were once thought to be promising drug candidates for wound healing, burns, tissue repair and ischaemic ailments based on their potent mitogenic and angiogenic properties, repeated failures in clinical trials have led to the widespread perception that the development of paracrine FGF-based drugs is not feasible.

Association between ethylene oxide exposure and cognitive function in older adults from NHANES data.

Ethylene Oxide (EO), a volatile organic compound, has garnered considerable attention for its potential impact on human health. Yet, the ramifications of EO exposure on the cognitive functionality of the elderly remain unclear. The aim of this study is to determine whether EO exposure in the elderly correlates with cognitive function.

Free fatty acids derived from lipophagy enhanced resistance to anoikis by activating Src in high-invasive clear cell renal cell carcinoma cells.

Autophagy-mediated anoikis resistance plays a critical role in the initiation of tumor metastasis. Therefore, we investigated the role and mechanism of anoikis resistance mediated by free fatty acids (FFAs) derived from lipophagy in highly invasive clear cell renal cell carcinoma (ccRCC). Here, we found that the highly invasive ccRCC cell line Himi exhibited enhanced resistance to anoikis and elevated lipophagy levels.