What is protein protein interaction?
Best insight from top research papers
Protein-protein interaction (PPI) refers to the physical interaction between two or more proteins. PPIs are essential for various biological functions, including catalysis, regulation, immune response, and inhibition . These interactions play a crucial role in cellular processes such as gene expression, DNA replication, signal transduction, and metabolism . PPIs are driven by a combination of physical and chemical features, including interface residues, hydrophobic effects, hydrogen bonds, and electrostatics, which contribute to the formation of a stable interface for specific molecular function . Understanding PPIs is important for deciphering molecular biology events and can help in the development of new drugs and therapies . Experimental methods such as yeast two-hybrid and biophysical techniques have been used to study PPIs, but computer-aided tools are also being developed for the analysis and prediction of PPIs .
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
| Protein-protein interaction refers to the physical interaction between two or more proteins, which is important for various biological processes. | |
| Protein-protein interaction refers to the physical association between two or more proteins, which is important for various biological processes. | |
| Protein-protein interactions (PPIs) refer to the physical interactions between two or more proteins in a biological system. | |
| Protein-protein interactions (PPIs) are essential for various cellular processes and play a crucial role in the functioning of cells. | |
| Protein-protein interaction refers to the binding and interaction between two or more proteins to carry out various biological functions. |
Related Questions
What is interaction?4 answersInteraction can be defined in various ways based on different fields. In the realm of human-computer interaction, it is viewed as dialogue, transmission, optimal behavior, embodiment, and tool use, each with distinct scopes and causal relationships between humans and computers. In the legal domain, interaction involves interconnections between entities in legal constructions, such as subordination, coordination, control, and supervision. Epidemiologically, interaction refers to both biological interaction, where multiple causes jointly influence disease risk, and statistical interaction, which is essential in linear models for assessing biological interaction. Moreover, in the context of applied human-computer interaction, it influences system, hardware, and software design, providing insights into designing interactive systems and user interface tools.
What is the importance of biological interactions?5 answersBiological interactions play a crucial role in various ecological and biological processes. They are essential for the survival and functioning of ecosystems. These interactions can involve microbial communities, marine organisms, and even human health, influencing factors like community functioning, reef construction, and disease etiology. Understanding biological interactions helps in assessing the impact of climate change, modulating ecosystem processes, and unraveling complex causal relationships in epidemiological research. By studying how organisms interact with each other and their environment, researchers can gain insights into the dynamics of ecosystems, microbial guilds, and disease development, ultimately aiding in conservation efforts, ecosystem management, and public health interventions.
What is the interaction significance?5 answersInteraction significance refers to the statistical significance of the detected interactions among variables. It is a measure used to confirm the presence of interactions that may go undetected by standard model-based methods. The commonly used chi-squared test may detect too many spurious interactions when the dependence between variables is strong. To overcome this issue, permutation tests and a novel HYBRID method that combines permutation and chi-squared tests have been proposed. These methods control the actual significance level and have shown better performance in detecting interactions compared to standard methods. In the field of drug-drug interactions, assessing their clinical significance is crucial as they can alter the effects of a drug. Various sources of data, such as drug reference books and in vitro and in vivo studies, are used to evaluate the clinical significance of potential drug interactions.
How does levodopa interact with proteins?4 answersLevodopa interacts with proteins through various mechanisms. It has been observed that protein limitation and redistribution diets can improve motor fluctuations in Parkinson's disease patients on levodopa. Levodopa can bind to human serum albumin (HSA) and cause fluorescence emission quenching, altering the secondary structure of the protein. Additionally, levodopa can be incorporated into proteins in vivo, leading to increased levels of protein-incorporated dopa in lymphocyte cell proteins. This incorporation is not due to oxidative pathways and could potentially occur in the central nervous system as well. The interaction between levodopa and protein intake can be resolved by decreasing protein intake and changing the nutritional administration method. Overall, these findings suggest that levodopa can interact with proteins, affecting its pharmacokinetics and potentially contributing to motor fluctuations and neurotoxic effects in Parkinson's disease patients.
What is the human comuter interaction?5 answersHuman-computer interaction (HCI) is a multidisciplinary field that focuses on the understanding and design of interaction between humans and computers. It encompasses various approaches, theories, and methods from disciplines such as anthropology, sociology, and cognitive sciences. HCI techniques range from ethnography and participatory design to usability testing and controlled experiments. HCI research addresses diverse aspects of people's lives, including spirituality, global crises, disabilities, and emerging technologies like wearable devices and virtual reality applications. Promising lines of HCI research include "gameful" interaction, self-tracking and behavior change technologies, and conversational agents. HCI is the study of how humans interact with computers and the design of user-friendly interfaces. It involves principles, approaches, and techniques to ensure that computers meet users' expectations and improve their daily lives. HCI has evolved through three waves, with the third wave emphasizing emotional aspects and holistic user experiences. In healthcare, HCI aligns with trends like patient-centered care and prevention, but challenges remain unresolved. HCI analyzes the elements of human-computer interaction, including visual and contact devices, usability factors, and their mutual interaction. HCI is a branch of computer science focused on the design, evaluation, and implementation of interactive computing systems for human use. It involves various fields like cognitive psychology, design, and communication.
What is protein-peptide interaction?5 answersProtein-peptide interaction refers to the binding and interaction between proteins and peptides. Peptides are small chains of amino acids that can interact with proteins to regulate various cellular processes. Protein-protein interactions are essential for many cellular functions and have been targeted for drug development. Abnormal protein-protein interactions are associated with infectious and neurodegenerative diseases. Understanding and characterizing protein-peptide interactions is important for the discovery of peptide-based strategies to disrupt endogenous protein interactions or improve binding specificity. Various computational methods have been developed to study peptide-protein interactions. Short linear motifs (SLiMs) located in intrinsically disordered regions of proteins mediate many protein-protein interactions. Synthetic peptide arrays combined with mass spectrometry have emerged as a powerful screening approach to study SLiM-mediated interactions. Peptide-based assays, such as the SPOT peptide assay, allow high-throughput detection of domains essential for protein-protein interactions. In silico studies have been conducted to analyze the molecular details of peptide-protein interactions and identify potential peptide affinity-enhancing interactions for drug design. Peptide-based ligands with irreversible binding modes have also been explored as inhibitors of protein-protein interactions.