drugs
Predicting Drug-Target Interactions. drug-target interactions prediction
2023 [j22] Junjun Zhang, Minzhu Xie:Graph regularized non-negative matrix factorization with L2,1 norm regularization terms for drug-target interactio ......
Drug response prediction using graph representation learning and Laplacian feature selection
Drug response prediction using graph representation learning and Laplacian feature selection Minzhu Xie 1 2, Xiaowen Lei 3, Jianchen Zhong 3, Jianxing ......
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction Junjun Zhang 1 ......
Graph regularized non-negative matrix factorization with [Formula: see text] norm regularization terms for drug-target interactions prediction
Graph regularized non-negative matrix factorization with [Formula: see text] norm regularization terms for drug-target interactions prediction Junjun ......
药学 | Drug 基本概念
2023年11月09日 IC50 为什么IC50指标这么重要？有效性的直接指标。 It is important to use the IC50 value because it indicates how much of a drug is needed to inhibit a biologic ......
Paper Reading: A hybrid deep forest-based method for predicting synergistic drug combinations
为了解决联合用药数据的不平衡、高维、样本数量有限的问题，本文首先构建了一个由药物的物理、化学和生物特性组成的特征集，包括了丰富的生物学信息。特征空间的每个维度都有特定的含义，便于进行可解释性分析，找出预测过程中的关键特征。针对这种不平衡的高维中型数据集，提出了一种改进的基于 Deep Forest ... ......
What are the differences between in vivo and in vitro testing of drugs for toxicology Studies?
Toxicology is the science of studying the harmful effects of chemical, physical, biological, and other exogenous factors on biological systems. It can... ......
An analysis of what are the drug targets for the treatment of systemic lupus erythematosus
With the understanding of the pathogenesis of SLE, some targets for the treatment of SLE have emerged, and drugs developed with these targets have ach... ......
Toxicokinetics: A critical component of preclinical drug research
Toxicokinetics is based on pharmacokinetic studies, with the help of its methods and tools, to help evaluate drug safety and regulate research behavio... ......
Exploring the Use of Humanized Mouse Models in Drug Safety Evaluation
However, there are differences between animals and humans, safety studies cannot be conducted on animal models alone, and normal animals do not respon... ......
Accelerating New Drug Development: The Role of Radioisotope Labeling
Isotopes are atoms of the same chemical element with different masses due to the presence of different neutron numbers in the nucleus, and there are l... ......
Salt formation: an effective means to improve the physical and chemical properties of drug molecules and enhance the druggability of drugs
Salt formation is one of the effective means to improve the physicochemical properties of drug molecules and enhance drug-forming properties. ......
Inventory of the five significant mechanisms of nephrotoxic drug effects
The kidney is the main organ for the metabolism and excretion of various drugs, from minor to common anti-cold drugs, antibiotics, antivirals, and sig... ......
The role of local toxicity testing in evaluating new drugs
Local toxicity test is an integral part of toxicology research, which is designed to study the toxic reactions caused by local (via eyes, ears, mouth,... ......
What's the role of Minipig animal models in drug development?
The development of various human diseases is highly complex. For drug developers to study human pathogenesis and pathological changes and observe and ... ......