Results 61 to 70 of about 803,882 (321)

Characteristics of the Kelch domain containing (KLHDC) subfamily and relationships with diseases

FEBS Letters, EarlyView.
The Kelch protein superfamily includes 63 members, with the KLHDC subfamily having 10 proteins. While their functions are not fully understood, recent advances in KLHDC2's structure and role in protein degradation have highlighted its potential for drug development, especially in PROTAC therapies.
Courtney Pilcher, Paula Armina V. Buco, Jia Q. Truong, Paul A. Ramsland, Monique F. Smeets, Carl R. Walkley, Jessica K. Holien   +6 more
wiley   +1 more source

Cost-Effective Knowledge Extraction Framework for Low-Resource Environments

IEEE Access
Extracting knowledge from texts is crucial for enriching everyday knowledge. Constructing a knowledge extraction environment requires comprehensive processes, such as data generation, data processing, and model and framework design.
Sangha Nam, Eun-Kyung Kim
doaj   +1 more source

The multiple roles of the NlpC_P60 peptidase family in mycobacteria – an underexplored target for antimicrobial drug discovery

FEBS Letters, EarlyView.
The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva, Marcio Vinicius Bertacine Dias   +1 more
wiley   +1 more source

Gender-Based Analysis of User Reactions to Facebook Posts

Big Data Mining and Analytics
Online Social Networks (OSNs) are based on the sharing of different types of information and on various interactions (comments, reactions, and sharing). One of these important actions is the emotional reaction to the content.
Yassine El Moudene, Jaafar Idrais, Rida El Abassi, Abderrahim Sabour   +3 more
doaj   +1 more source

Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models [PDF]

arXiv, 2023
While pre-trained language models (PLMs) have shown evidence of acquiring vast amounts of knowledge, it remains unclear how much of this parametric knowledge is actually usable in performing downstream tasks. We propose a systematic framework to measure parametric knowledge utilization in PLMs.
arxiv  

Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction [PDF]

BMC Bioinformatics, 2019, 20(1):260, 2019
Background: Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-structured knowledge bases (KBs), which contain prior knowledge about chemicals and diseases.
arxiv   +1 more source

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

FEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma, Jennifer R. Deuis, Xinying Jia, Theo Crawford, Sassan Rahnama, Eivind A. B. Undheim, Irina Vetter, Yanni K. ‐Y. Chin, Mehdi Mobli   +8 more
wiley   +1 more source

Feedback Collection and Nearest-Neighbor Profiling for Recommendation Systems in Healthcare Scenarios

Technologies
The rise in the dimension and complexity of information generated in the clinical field has motivated research on the automation of tasks in personalized healthcare.
João António, Ricardo Malheiro, Sandra Jardim   +2 more
doaj   +1 more source

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source

A Method for Extracting Fine-Grained Knowledge of the Wheat Production Chain

Agronomy
The knowledge within wheat production chain data has multiple levels and complex semantic relationships, making it difficult to extract knowledge from them.
Jing Lu, Wanxia Yang, Liang He, Quan Feng, Tingwei Zhang, Seng Yang   +5 more
doaj   +1 more source