Results 121 to 130 of about 285,592 (275)
HuRInterDB: the landscape of lncRNA-protein interactions
Non-coding RNA (ncRNA) possesses various biological functions and play key regulatory roles in biological processes by interacting with other biomolecules, such as proteins, RNAs and the genome. These interactions have been implicated in almost all physiological and pathological conditions and involve processes such as cell growth and development ...
openaire +2 more sources
ABSTRACT Insulin resistance is the biological phenomenon in which the human body's normal response to the metabolic hormone insulin is compromised. Insulin is a regulator of most of the essential metabolic steps in the body that control energy homoeostasis, so dysregulation leads to multiple diverse human diseases including, most prominently, Type 2 ...
Peter J. Little +12 more
wiley +1 more source
Background/Aims: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease with unclear molecular mechanisms. Our study intended to identify potential long non-coding RNAs (lncRNAs) and genes, and to determine the potential ...
Tao-tao Ma +4 more
doaj +1 more source
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. [PDF]
Zhou L +5 more
europepmc +1 more source
An artificial immune system for clustering amino acids in the context of protein function classification [PDF]
This paper addresses the classification task of data mining (a form of supervised learning) in the context of an important bioinformatics problem, namely the prediction of protein functions.
Timmis, Jon +5 more
core +1 more source
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid +4 more
wiley +1 more source
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification. [PDF]
Zhou L, Wang Z, Tian X, Peng L.
europepmc +1 more source
The regulation of stem cell fate and its application in neural regeneration
Regulating stem cell fate is crucial for neural regeneration. This review summarizes key physical, biological, and chemical strategies and their applications in repairing nerve injuries, providing new insights for regenerative medicine. Abstract Regulating the fate of stem cells (SCs) is a key technical problem in the field of regenerative medicine and
Yuexin He +3 more
wiley +1 more source
A compendium of extracellular vesicle biogenesis inhibitors: From bench to bedside
This review explores a decade of research on extracellular vesicles (EVs), detailing their biogenesis and roles in health and disease. It emphasizes EVs' relevance for potential medical applications covering various conditions such as cancer, neurodegeneration, inflammation, and infectious diseases, bridging experimental findings with clinical ...
Stefano Vecchione +2 more
wiley +1 more source
Network modelling provides an increasingly popular conceptualisation in a wide range of domains, including the analysis of protein structure. Typical approaches to analysis model parameter values at nodes within the network. The spherical locality around
Ross, Isla +9 more
core +1 more source

