Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions [0.03%]
基于图卷积自编码器和生成对抗网络的药物靶标相互作用预测方法
Chang Sun,Ping Xuan,Tiangang Zhang et al.
Chang Sun et al.
The computational prediction of novel drug-target interactions (DTIs) may effectively speed up the process of drug repositioning and reduce its costs. Most previous methods integrated multiple kinds of connections about drugs and targets by...
META-BASE: A Novel Architecture for Large-Scale Genomic Metadata Integration [0.03%]
META-BASE：一种用于大规模基因组元数据集成的新架构
Anna Bernasconi,Arif Canakoglu,Marco Masseroli et al.
Anna Bernasconi et al.
The integration of genomic metadata is, at the same time, an important, difficult, and well-recognized challenge. It is important because a wealth of public data repositories is available to drive biological and clinical research; combining...
Christoph Flamm,Marc Hellmuth,Daniel Merkle et al.
Christoph Flamm et al.
Many properties of molecules vary systematically with changes in the structural formula and can thus be estimated from regression models defined on small structural building blocks, usually functional groups. Typically, such approaches are ...
Priyadarshini Rai,Debarka Sengupta,Angshul Majumdar
Priyadarshini Rai
Single-cell RNA sequencing has been proved to be advantageous in discerning molecular heterogeneity in seemingly similar cells in a tissue. Due to the paucity of starting RNA, a large fraction of transcripts fail to amplify during the polym...
Relating Translation Efficiency to Protein Networks Provides Evolutionary Insights in Shewanella and Its Implications for Extracellular Electron Transfer [0.03%]
将翻译效率与蛋白质网络关联可为Shewanella的进化以及胞外电子传递提供启示
D W Ding,X Sun
D W Ding
Shewanella species are well-known for their extracellular electron transfer (EET) capacity, by which these microorganisms can transfer the electrons from intracellular environment to extracellular space for the reduction of the extracellula...
Devleena Ghosh,Chittaranjan Mandal
Devleena Ghosh
An ordinary differential equation (ODE) model of the working of the thyroid system for euthyroidism has been presented. As clinical data for thyroid hormones is relatively scarce, such modelling offers potential benefits over wet lab proced...
Correlated Motions and Dynamics in Different Domains of Epidermal Growth Factor Receptor With L858R and T790M Mutations [0.03%]
带有L858R和T790M突变表皮生长因子受体不同区域的相关运动和动力学
Rizwan Qureshi,Avirup Ghosh,Hong Yan
Rizwan Qureshi
Non-small cell lung cancer with an activating epidermal growth factor receptor (EGFR) mutation responds well to targeted drugs. In most cases, drug resistance appears after about a year. Several studies have been conducted on the kinase dom...
Sai Zhang,Jin Li,Wei Zhou et al.
Sai Zhang et al.
MiRNA-disease association prediction plays an important role in identifying human disease-related miRNAs. This approach is helpful not only to formulate individualized diagnosis schemes, but also to understand the pathogenesis of diseases. ...
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support [0.03%]
基于CNN-RNN的在线医疗预诊智能推荐研究
Xiaokang Zhou,Yue Li,Wei Liang
Xiaokang Zhou
The rapidly developed Health 2.0 technology has provided people with more opportunities to conduct online medical consultation than ever before. Understanding contexts within different online medical communications and activities becomes a ...
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing [0.03%]
用于人群规模聚类和生物世系推断的卷积嵌入网络
Md Rezaul Karim,Michael Cochez,Achille Zappa et al.
Md Rezaul Karim et al.
The study of genetic variants (GVs) can help find correlating population groups and to identify cohorts that are predisposed to common diseases and explain differences in disease susceptibility and how patients react to drugs. Machine learn...