Quantification of the presence of enzymes in gelatin zymography using the Gini index [0.03%]
使用基尼指数对明胶酶谱法中酶的存在进行定量分析
Adriana Laura López Lobato,Martha Lorena Avendaño Garrido,Héctor Gabriel Acosta Mesa et al.
Adriana Laura López Lobato et al.
Gel zymography quantifies the activity of certain enzymes in tumor processes. These enzymes are widely used in medical diagnosis. In order to analyze them, experts classify the zymography spots into various classes according to their tonali...
A network-based dynamic criterion for identifying prediction and early diagnosis biomarkers of complex diseases [0.03%]
基于网络的复杂疾病预测和早期诊断生物标志物鉴定的动态准则
Xin Huang,Benzhe Su,Xingyu Wang et al.
Xin Huang et al.
Lung adenocarcinoma (LUAD) seriously threatens human health and generally results from dysfunction of relevant module molecules, which dynamically change with time and conditions, rather than that of an individual molecule. In this study, a...
Accounting for treatment during the development or validation of prediction models [0.03%]
在开发或验证预测模型过程中考虑治疗情况
Wei Xin Chan,Limsoon Wong
Wei Xin Chan
Clinical prediction models are widely used to predict adverse outcomes in patients, and are often employed to guide clinical decision-making. Clinical data typically consist of patients who received different treatments. Many prediction mod...
Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptides [0.03%]
反馈AVPGAN：用于生成抗病毒肽的反馈引导生成对抗网络
Kano Hasegawa,Yoshitaka Moriwaki,Tohru Terada et al.
Kano Hasegawa et al.
In this study, we propose Feedback-AVPGAN, a system that aims to computationally generate novel antiviral peptides (AVPs). This system relies on the key premise of the Generative Adversarial Network (GAN) model and the Feedback method. GAN,...
GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion [0.03%]
基于矩阵补全的药物-靶点相互作用预测图卷积自动编码框架GCMCDTI
Jing Li,Chen Zhang,Zhengwei Li et al.
Jing Li et al.
Identification of potential drug-target interactions (DTIs) plays a pivotal role in the development of drug and target discovery in the public healthcare sector. However, biological experiments for predicting interactions between drugs and ...
The impact of simulation time in predicting binding free energies using end-point approaches [0.03%]
使用端点方法预测结合自由能的模拟时间的影响
Babak Sokouti,Siavoush Dastmalchi,Maryam Hamzeh-Mivehroud
Babak Sokouti
The profound impact of in silico studies for a fast-paced drug discovery pipeline is undeniable for pharmaceutical community. The rational design of novel drug candidates necessitates considering optimization of their different aspects prio...
A non-parametric Bayesian joint model for latent individual molecular profiles and survival in oncology [0.03%]
一个非参数贝叶斯联合模型在肿瘤学中用于潜在的个体分子谱型和生存期研究
Sarah-Laure Rincourt,Stefan Michiels,Damien Drubay
Sarah-Laure Rincourt
The development of prognostic molecular signatures considering the inter-patient heterogeneity is a key challenge for the precision medicine. We propose a joint model of this heterogeneity and the patient survival, assuming that tumor expre...
Gatis Melkus,Karlis Cerans,Karlis Freivalds et al.
Gatis Melkus et al.
We present hybrid system-based gene regulatory network models for lambda, HK022, and Mu bacteriophages together with dynamics analysis of the modeled networks. The proposed lambda phage model LPH2 is based on an earlier work and incorporate...
COYOTE: Sequence-derived structural descriptors-based computational identification of glycoproteins [0.03%]
基于序列的结构描述符的糖蛋白计算识别方法COYOTE
Wajid Arshad Abbasi,Asma Anjam,Sadia Khalil et al.
Wajid Arshad Abbasi et al.
Glycoproteins play an important and ubiquitous role in many biological processes such as protein folding, cell-to-cell signaling, invading microorganism infection, tumor metastasis, and leukocyte trafficking. The key mechanism of glycoprote...
Computational design and experimental confirmation of conformationally constrained peptides to compete with coactivators for pediatric PPAR[Formula: see text] by minimizing indirect readout effect [0.03%]
计算设计并实验验证最小化间接读出效应的构象约束肽以与辅激活剂竞争儿科PPAR[公式见图片]结合位点
Caijie Gao,Xu Zhao,Jianrong Fan
Caijie Gao
The peroxisome proliferator-activated receptor-[Formula: see text] (PPAR[Formula: see text]) is a member of PPAR nuclear receptor family, and its antagonists have been widely used to treat pediatric metabolic disorders. Traditional type-1 a...