1.A review of transformer models in drug discovery and beyond.
Jian JIANG ; Long CHEN ; Lu KE ; Bozheng DOU ; Chunhuan ZHANG ; Hongsong FENG ; Yueying ZHU ; Huahai QIU ; Bengong ZHANG ; Guo-Wei WEI
Journal of Pharmaceutical Analysis 2025;15(6):101081-101081
Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics (MD), drug target identification, transformer-enabled drug virtual screening (VS), drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.
2.Clinical analysis of six cases of neonatal hand-foot-mouth disease
Yanyu CHEN ; Lili QIU ; Huahai FENG ; Yanyi DENG
Chinese Journal of Neonatology 2017;32(3):217-219
Objective To study the clinical features of hand-foot-mouth disease(HFMD) in neonates.Method From April 2015 to May 2016,the clinical manifestations,laboratory examinations,treatments and prognosis of neonates with HFMD in our hospital were retrospectively analyzed.Result A total of 6 cases of neonatal HFMD were included,with 4 males and 2 females.The ages of 2 patients were ≤7 days and the other 4 patients 8 ~ 28 days.5 patients developed this disease during April to July,while the other one in January.2 cases had a definite contract history of HFMD.4 cases presented with fever and rashes in hand and foot,one case with fever,rash and oral ulcer,and one case with rash in hip and oral ulcer without fever.The nucleic acid test of enterovirus were positive in 4 cases.The symptoms of these neonatal HFMD were mild and recovered after symptom-relieving treatment.Conclusion HFMD in neonates with fever and/or rash should be considered during the HFMD epidemic period.

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