KD_MultiSucc: incorporating multi-teacher knowledge distillation and word embeddings for cross-species prediction of protein succinylation sites [0.03%]
基于多教师知识蒸馏和词嵌入的跨物种蛋白质琥珀酰化位点预测方法
Thi-Xuan Tran,Thi-Tuyen Nguyen,Nguyen-Quoc-Khanh Le et al.
Thi-Xuan Tran et al.
Protein succinylation is a vital post-translational modification (PTM) that involves the covalent attachment of a succinyl group (-CO-CH2-CH2-CO-) to the lysine residue of a protein molecule. The mechanism underlying the succinylation proce...
Kanon Maruyama,Hodaka Fujii
Kanon Maruyama
Cells respond to environmental stresses such as cold and osmotic stresses. These stresses induce signal transduction pathways in cells. However, the molecular mechanisms activated by cold and osmotic stresses in higher eukaryotes remain elu...
Rough microsomes isolated from snap-frozen canine pancreatic tissue retain their co-translational translocation functionality [0.03%]
快速冻结狗胰腺组织的粗微粒体保留其共翻译转运功能
Marianne Croonenborghs,Marijke Verhaegen,Eva Pauwels et al.
Marianne Croonenborghs et al.
Proteins are essential for life in all organisms: they mediate cell signaling and cell division and provide structure/motility to cells and tissues. All proteins are synthesized on cytoplasmic ribosomes as unfolded precursors that need to f...
Ana Paula Carvalho Reis,Giovanna Azevedo Celestrino,Talita Souza Siqueira et al.
Ana Paula Carvalho Reis et al.
The skin is the largest organ in the body and is the site for a diverse set of diseases. Yet, given the complexity of the cutaneous tissue, there is a limited availability of data in the literature on skin proteomics. Here, we proposed an a...
Neuro293: A REST-knockout HEK-293 cell line enables the expression of neuron-restricted genes for the high-throughput testing of human neurobiology and the biochemistry of neuronal proteins [0.03%]
神经元REST敲除HEK-293细胞系可高通量表达神经元特异性基因，用于人类神经生物学和神经蛋白生化的研究
Joshua T Moses,Fahad B Shah,Nicholas M McVay et al.
Joshua T Moses et al.
Efficient interrogation of neurobiology remains bottlenecked by obtaining mature neurons. Immortalized cell lines still require lengthy differentiation periods to obtain neuron-like cells, which may not efficiently differentiate and are cha...
Enhancing leptospirosis screening using a deep convolutional neural network with microscopic agglutination test images [0.03%]
基于微观凝集试验图像的深度卷积神经网络钩端螺旋体筛查改进方法研究
Murnihayati Hassan,Siti Nur Zawani Rosli,Natasya Amirah Mohamed Tahir et al.
Murnihayati Hassan et al.
Leptospirosis poses substantial challenges to global public health. In Malaysia, leptospirosis is endemic, with annual cases peaking during the monsoon season. The microscopic agglutination test (MAT) is the gold-standard serological method...
DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing [0.03%]
药物重定位的通用且高效的生成式人工智能辅助虚拟筛选工作流程DrugPipe
Phuc Pham,Viet Thanh Duy Nguyen,Kyu Hong Cho et al.
Phuc Pham et al.
Drug repurposing presents a promising strategy to accelerate drug discovery by identifying new therapeutic uses for existing compounds, particularly for diseases with limited or no effective treatment options. We introduce DrugPipe, a 'Gene...
Donor-specific digital twin for living donor liver transplant recovery [0.03%]
供体特异性数字孪生在活体肝移植术后恢复中的应用
Suvankar Halder,Michael C Lawrence,Giuliano Testa et al.
Suvankar Halder et al.
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor liver transplantation a successful treatment option. However, donor heterogeneity significantly influences recovery trajectories, highlighti...
Integrating support vector machines and deep learning features for oral cancer histopathology analysis [0.03%]
支持向量机和深度学习特征在口腔癌病理分析中的融合应用研究
Tuan D Pham
Tuan D Pham
This study introduces an approach to classifying histopathological images for detecting dysplasia in oral cancer through the fusion of support vector machine (SVM) classifiers trained on deep learning features extracted from InceptionResNet...
Optimizing drug synergy prediction through categorical embeddings in deep neural networks [0.03%]
深度神经网络中通过分类嵌入优化药物协同效应预测
Manuel González Lastre,Pablo González De Prado Salas,Raúl Guantes
Manuel González Lastre
Cancer treatments often lose effectiveness as tumors develop resistance to single-agent therapies. Combination treatments can overcome this limitation, but the overwhelming combinatorial space of drug-dose interactions makes exhaustive expe...