Results 81 to 90 of about 8,324,980 (383)

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

A phenotypic drug discovery approach by latent interaction in deep learning

Royal Society Open Science
Contemporary drug discovery paradigms rely heavily on binding assays about the bio-physicochemical processes. However, this dominant approach suffers from overlooked higher-order interactions arising from the intricacies of molecular mechanisms, such as ...
Tat Wai Billy Yu
doaj   +1 more source

Magic numbers in polymer phase separation -- the importance of being rigid

, 2019
Cells possess non-membrane-bound bodies, many of which are now understood as phase-separated condensates. One class of such condensates is composed of two polymer species, where each consists of repeated binding sites that interact in a one-to-one ...
He, Guanhua, Jonikas, Martin C., Meir, Yigal, Ronceray, Pierre, Weiner, Benjamin G., Wingreen, Ned S., Xu, Bin   +6 more
core   +1 more source

Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions [PDF]

, 2007
3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptional regulation has become increasingly clear in the last few years.
Caselle, Michele, Cora, Davide, Di Cunto, Ferdinando, Provero, Paolo   +3 more
core   +4 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Tuning genetic clocks employing DNA binding sites. [PDF]

PLoS ONE, 2012
Periodic oscillations play a key role in cell physiology from the cell cycle to circadian clocks. The interplay of positive and negative feedback loops among genes and proteins is ubiquitous in these networks.
Shridhar Jayanthi, Domitilla Del Vecchio
doaj   +1 more source

Epstein-Barr virus transcription factor Zta acts through distal regulatory elements to directly control cellular gene expression [PDF]

, 2015
Lytic replication of the human gamma herpes virus Epstein-Barr virus (EBV) is an essential prerequisite for the spread of the virus. Differential regulation of a limited number of cellular genes has been reported in B-cells during the viral lytic ...
Alison J. Sinclair, Anja Godfrey, Bailey, Bark-Jones, Beatty, Ben-Bassat, Bergbauer, Bhende, Bhende, Broderick, Carey, Chang, Chi, Farnham, Feederle, Feng, Flemington, Flower, Gentleman, Gordon Peters, Grabherr, Gupta, Gustems, Halder, Harshil Patel, Heather, Hollyoake, Hsu, Huang da, Huang da, Ijiel B. Naranjo Perez-Fernandez, Inman, Israel, Jiang, Jianmin Zuo, Kalla, Kalla, Kay Osborn, Kenney, Kenney, Klug, Krig, Kuppers, Li, Lieberman, Lieberman, Lieberman, Longnecker, Ma, Machanick, Martin Rowe, McClellan, Miller, Molyneux, Nicolae Balan, Pruitt, Rajaei Al-Mohammad, Ramasubramanyan, Ramasubramanyan, Richard G. Jenner, Rickinson, Rowe, Rowe, Scacheri, Shannon-Lowe, Sharada Ramasubramanyan, Takada, Thorvaldsdottir, Tsai, Tsang, Vetsika, Whyte, Yang, Young, Young, Yuan, Zuo, Zuo   +77 more
core   +1 more source

Thermostable neutral metalloprotease from Geobacillus sp. EA1 does not share thermolysin's preference for substrates with leucine at the P1′ position

FEBS Letters, EarlyView.
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield, Torsten Kleffmann, David J. Saul, Sigurd M. Wilbanks   +3 more
wiley   +1 more source

New ligand-binding sites identified in the crystal structures of β-lactoglobulin complexes with desipramine

IUCrJ, 2022
The homodimeric β-lactoglobulin belongs to the lipocalin family of proteins that transport a wide range of hydrophobic molecules and can be modified by mutagenesis to develop specificity for novel groups of ligands.
Joanna I. Loch, Jakub Barciszewski, Joanna Śliwiak, Piotr Bonarek, Paulina Wróbel, Kinga Pokrywka, Ivan G. Shabalin, Wladek Minor, Mariusz Jaskolski, Krzysztof Lewiński   +9 more
doaj   +1 more source

sc-PDB: a 3D-database of ligandable binding sites—10 years on

Nucleic Acids Res., 2014
The sc-PDB database (available at http://bioinfo-pharma.u-strasbg.fr/scPDB/) is a comprehensive and up-to-date selection of ligandable binding sites of the Protein Data Bank. Sites are defined from complexes between a protein and a pharmacological ligand.
Jérémy Desaphy, G. Bret, D. Rognan, E. Kellenberger   +3 more
semanticscholar   +1 more source