Refine by
Drug Interaction Articles & Analysis: Older
35 articles found
Once absorbed, distribution takes place, dispersing the compound throughout the body and determining its interaction with target sites and off-target tissues. Metabolism, primarily occurring in the liver, transforms the drug into more water-soluble metabolites, facilitating its excretion via the kidneys or, in some cases, through bile. ...
AUC uses centrifugal force and centrifugation time to analyze the sedimentation behavior of molecules in the solution, which can provide important information about the structure, interactions, and purity of the drug. The specific applications of AUC in antibody drugs include:Purity and aggregation analysis of antibody ...
Therefore, the interaction of recombinant protein drugs with FcRn is a key parameter to be optimized and tracked throughout the development process of recombinant protein drugs.Surface Plasmon Resonance (SPR) technology can monitor the binding kinetics of recombinant protein with FcRn in real time, obtaining parameters such as binding affinity, binding constant, ...
Pharmacokinetic studies serve as the foundation for understanding the drug's bioavailability – the degree and rate at which an administered drug reaches the systemic circulation. An effective PK study offers invaluable insights into the required timing, dosage, route of administration, and potential drug interaction. Thus, ...
Furthermore, AI-driven platforms have the ability to streamline drug discovery and development processes, by simulating interactions between drugs and genetic targets, predicting potential side effects, and identifying optimal dosage regimens. ...
Protein-Protein Interaction Sequencing (PPI-Seq) is an emerging technology. Based on high-throughput sequencing, it allows researchers to explore protein interactions at the whole genome level.Technical PrinciplesThe basic principle of Protein-Protein Interaction Sequencing is to use the yeast two-hybrid system or mammalian cell lines to express ...
Furthermore, AI-driven platforms have the ability to streamline drug discovery and development processes, by simulating interactions between drugs and genetic targets, predicting potential side effects, and identifying optimal dosage regimens. ...
As sophisticated algorithms work their magic, predicting binding orientations and affinity scores, the intricate network of molecular interactions unfolds before our eyes. This dynamic interplay between computational algorithms and molecular models is the key to unlocking the mysteries that govern the interactions between drugs and protein ...
One critical element in the drug development process is drug metabolism and pharmacokinetics (DMPK), which refers to how a drug is absorbed, distributed, metabolized, and excreted (ADME) from the body. ...
By exploiting this phenomenon, MST enables the quantification of binding affinities, stoichiometry, and thermodynamic parameters of molecular interactions. Applications of Microscale Thermophoresis Drug Discovery and Development Microscale Thermophoresis plays a crucial role in drug discovery by providing insights into the binding affinity ...
The use of computer simulation for drug development may reduce costs and increase the efficiency and success rate of the drug development process. ...
Hepatocytes are the chief functional cells of the liver, responsible for the selective uptake, metabolism and excretion of most drugs. Cells for use in plate cultures or suspension assays represent a key tool for predicting properties such as hepatotoxicity, metabolism, and potential drug-drug interactions. Since these cells ...
This structure mimics the cell membrane, allowing liposomes to seamlessly interact with cells. Why add fluorescence? Traditionally, tracking the journey of drugs and nanoparticles in the body has been a challenge. ...
One critical element in the drug development process is drug metabolism and pharmacokinetics (DMPK), which refers to how a drug is absorbed, distributed, metabolized, and excreted (ADME) from the body. ...
These characteristics enable better drug spreading over the skin, resulting in enhanced drug absorption. ...
Amidst these endeavors, Computer-Aided Drug Design (CADD) has emerged as a transformative methodology, harnessing the power of computational tools and simulations to predict, understand, and optimize the interactions between drug candidates and their target molecules. ...
The Significance of Drug-Disease Relationship Analysis Drug-disease relationship analysis, often referred to as drug-target interaction prediction or network pharmacology, is a multidisciplinary approach that uses computational techniques to predict how drugs interact with biological targets ...
While formulating commonly used preparations, it's vital to examine the compatibility between APIs and excipients to select excipients that do not adversely effects the drug. Solid Dosage Forms Interactions between drug substances and excipients in solid dosage forms involve both physical and chemical interactions. The former can ...
Additionally, animal models enable researchers to study the interaction of drugs with target tissues and organs, as well as potential adverse effects. ...
This function includes terms for bond energy, angle energy, and non-bonded interactions, which quantifies the internal and intermolecular interaction energies. ...