Results 1 to 10 of about 7,628,888 (367)

Food and Drug Administration

open access: yesDefinitions, 2020
The Food and Drug Administration is responsible for maintaining a national program to protect the public health from unnecessary and harmful radiation emitted by radiation products.
Arif Subhan
semanticscholar   +1 more source

Repression of the stress granule protein G3BP2 inhibits immune checkpoint molecule PD‐L1

open access: yesMolecular Oncology, EarlyView., 2022
Mounting evidence suggests that cancer stemness and immunosuppression are related, but the underlying mechanisms are not clear. We previously reported that the stress granule‐associated protein G3BP2 is involved in regulating tumor‐initiating (stem) cells.
Yanhong Zhang   +3 more
wiley   +1 more source

Metabolism and signaling crosstalk in glioblastoma progression and therapy resistance

open access: yesMolecular Oncology, EarlyView., 2023
Glioblastoma is one of the most lethal human cancers with no effective treatment nowadays. Here, we review the increasing amount of evidence supporting the connection between cell signaling deregulation and metabolic reprogramming as a key event in glioblastoma resistance to cancer therapy.
Laura Zarzuela   +2 more
wiley   +1 more source

High-Throughput Screening and Identification of Human Adenovirus Type 5 Inhibitors

open access: yesFrontiers in Cellular and Infection Microbiology, 2021
Human adenovirus infections can develop into diffuse multi-organ diseases in young children and immunocompromised patients, and severe cases can lead to death. However, there are no approved antiviral drugs available to treat adenovirus diseases. In this
Xiaojing Wen   +12 more
doaj   +1 more source

The battle for autophagy between host and influenza A virus

open access: yesVirulence, 2022
Influenza A virus (IAV) is an infectious pathogen, threatening the population and public safety with its epidemics. Therefore, it is essential to better understand influenza virus biology to develop efficient strategies against its pathogenicity ...
Ao Zhou   +5 more
doaj   +1 more source

Hyperbolic Molecular Representation Learning for Drug Repositioning [PDF]

open access: yesarXiv, 2022
Learning accurate drug representations is essential for task such as computational drug repositioning. A drug hierarchy is a valuable source that encodes knowledge of relations among drugs in a tree-like structure where drugs that act on the same organs, treat the same disease, or bind to the same biological target are grouped together.
arxiv  

AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions [PDF]

open access: yesarXiv, 2023
Adverse drug interactions are largely preventable causes of medical accidents, which frequently result in physician and emergency room encounters. The detection of drug interactions in a lab, prior to a drug's use in medical practice, is essential, however it is costly and time-consuming.
arxiv  

NeuroCADR: Drug Repurposing to Reveal Novel Anti-Epileptic Drug Candidates Through an Integrated Computational Approach [PDF]

open access: yesarXiv, 2023
Drug repurposing is an emerging approach for drug discovery involving the reassignment of existing drugs for novel purposes. An alternative to the traditional de novo process of drug development, repurposed drugs are faster, cheaper, and less failure prone than drugs developed from traditional methods.
arxiv  

ROSTOUCÍ NEBEZPEČÍ OBCHODOVÁNÍ S DROGAMI A JEJICH ZNEUŽÍVÁNÍ V NIGÉRII [PDF]

open access: yesACC Journal, 2022
Tento článek zkoumá osoby, trendy, techniky a pohnutky, které jsou zodpovědné za nedávný nárůst zneužívání drog a obchodování s nimi v Nigérii.
Ajiboye Babatope Matthew
doaj   +1 more source

Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension [PDF]

open access: yes, 2022
Drug-drug interaction prediction is a crucial issue in molecular biology. Traditional methods of observing drug-drug interactions through medical experiments require significant resources and labor. This paper presents a medical knowledge graph question answering model, dubbed MedKGQA, that predicts drug-drug interaction by employing machine reading ...
arxiv   +1 more source

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