Results 61 to 70 of about 9,770,147 (265)
Challenges and opportunities in technologies and methods for lncRNA structure determination
Cell & BioscienceLong non-coding RNAs (lncRNAs) play pivotal roles in diverse cellular processes ranging from gene regulation and chromatin remodeling to RNA stability and epigenetic modifications. Despite the identification of approximately 95,000 lncRNA genes in humans,
Maximilia Frazao De Souza Degenhardt +1 more
doaj +1 more source
Discover protein sequence signatures from protein-protein interaction data
BMC Bioinformatics, 2005 Background The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-protein interaction (PPI) datasets.
Haasl Ryan J +3 more
doaj +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
BMC Genomics, 2021 Background With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations.
Mansheng Li +6 more
doaj +1 more source
Deep learning frameworks for protein–protein interaction prediction
Computational and Structural Biotechnology Journal, 2022 Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. The disorder of PPIs often causes various physical and mental diseases, which makes PPIs become the focus of the research on disease mechanism and clinical ...
Xiaotian Hu +3 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Protein-Protein interaction in Obstructive Sleep Apnea.docx
, 2019 study analyzing the protein-protein interaction in patients with obstructive sleep apnea through high-throughput cell biology ...
Rosalind Silverman (5253824) +2 more
core +1 more source
An artificial immune system for clustering amino acids in the context of protein function classification [PDF]
, 2009 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
AligNet: alignment of protein-protein interaction networks
BMC Bioinformatics, 2020 Background All molecular functions and biological processes are carried out by groups of proteins that interact with each other. Metaproteomic data continuously generates new proteins whose molecular functions and relations must be discovered.
Adrià Alcalá +4 more
doaj +1 more source