Results 91 to 100 of about 11,611,859 (368)
A molecular network for functional versatility of HECATE transcription factors
bioRxiv, 2018 During the plant life cycle, diverse signalling inputs are continuously integrated and engage specific genetic programs depending on the cellular or developmental context. Consistent with an important role in this process, HECATE (HEC) bHLH transcription
Christophe Gaillochet +5 more
semanticscholar +1 more source
Evolutionary interplay between viruses and R‐loops
FEBS Letters, EarlyView.Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi +4 more
wiley +1 more source
FoodsRecent assessments of the correlations between food and medicine underscore the importance of functional foods in disease prevention and management. Functional foods offer health benefits beyond basic nutrition, with fresh fruits and vegetables being ...
Mira Oh +8 more
doaj +1 more source
Molecular Dynamics with Neural Network Potentials [PDF]
, 2020 Molecular dynamics simulations are an important tool for describing the evolution of a chemical system with time. However, these simulations are inherently held back either by the prohibitive cost of accurate electronic structure theory computations or the limited accuracy of classical empirical force fields.
Gastegger, Michael, Marquetand, Philipp
openaire +5 more sources
Circulating histones as clinical biomarkers in critically ill conditions
FEBS Letters, EarlyView.Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez +17 more
wiley +1 more source
Molecular hypergraph neural networks
The Journal of Chemical PhysicsGraph neural networks (GNNs) have demonstrated promising performance across various chemistry-related tasks. However, conventional graphs only model the pairwise connectivity in molecules, failing to adequately represent higher order connections, such as multi-center bonds and conjugated structures.
Junwu Chen, Philippe Schwaller
openaire +3 more sources
Targeting molecular networks for drug research [PDF]
Frontiers in Genetics, 2014 The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks.
Pinto, Jose P. +3 more
openaire +5 more sources
Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools. [PDF]
, 2016 This review discusses the use of molecular modeling tools, together with existing experimental findings, to provide a complete atomic-level description of enzyme dynamics and function.
Chang, Chia-En A +3 more
core +2 more sources
Molecular Packing in Network-Forming Collagens [PDF]
The Scientific World JOURNAL, 2003 Collagen is the most abundant protein among vertebrates and occurs in virtually all multicellular animals. Collagen molecules are classified into 21 different types and differ in their sequence, weight, structure, and function, but they can be broadly subdivided into families.
Carlo Knupp, John M. Squire
openaire +6 more sources