Results 81 to 90 of about 9,770,147 (265)

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

A cyclic peptide toolkit reveals mechanistic principles of peptidylarginine deiminase IV regulation

Nature Communications
Peptidylarginine deiminase IV (PADI4, PAD4) deregulation promotes the development of autoimmunity, cancer, atherosclerosis and age-related tissue fibrosis.
M. Teresa Bertran, Robert Walmsley, Thomas Cummings, Iker Valle Aramburu, Donald J. Benton, Rocio Mora Molina, Jayalini Assalaarachchi, Maria Chasampalioti, Tessa Swanton, Dhira Joshi, Stefania Federico, Hanneke Okkenhaug, Lu Yu, David Oxley, Simon Walker, Venizelos Papayannopoulos, Hiroaki Suga, Maria A. Christophorou, Louise J. Walport   +18 more
doaj   +1 more source

RocSampler: regularizing overlapping protein complexes in protein-protein interaction networks

BMC Bioinformatics, 2017
Background In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms.
Osamu Maruyama, Yuki Kuwahara
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Protein-protein-interaction network analysis of TFs predicted by at least 4, 5, or 6 tools using STRING Database for gene list analysis.

, 2023
Protein-protein-interaction network analysis of TFs predicted by at least 4, 5, or 6 tools using STRING Database for gene list analysis.
Louis Li (17508116), Tiandao Li (13287207), Guoyan Zhao (24853), Bo Zhang (6559), Kevin Boyer (17508113)   +4 more
core   +1 more source

Modularity detection in protein-protein interaction networks

BMC Research Notes, 2011
Background Many recent studies have investigated modularity in biological networks, and its role in functional and structural characterization of constituent biomolecules.
Narayanan Tejaswini, Gersten Merril, Subramaniam Shankar, Grama Ananth   +3 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

NOXclass: prediction of protein-protein interaction types

BMC Bioinformatics, 2006
Background Structural models determined by X-ray crystallography play a central role in understanding protein-protein interactions at the molecular level.
Sommer Ingolf, Domingues Francisco S, Zhu Hongbo, Lengauer Thomas   +3 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source