Results 101 to 110 of about 11,611,859 (368)

Biological and technical complexities in analyzing extracellular vesicle immune interactions in B‐cell malignancies

open access: yesFEBS Letters, EarlyView.
Extracellular vesicles (EVs) mediate intercellular communication in tumor immune microenvironments. However, their role in B‐cell malignancies remains poorly defined, owing to biological complexity and technical challenges in EV isolation and analysis.
Daniel Bachurski, Michael Hallek
wiley   +1 more source

Fluctuations in Gene Regulatory Networks as Gaussian Colored Noise

open access: yes, 2009
The study of fluctuations in gene regulatory networks is extended to the case of Gaussian colored noise. Firstly, the solution of the corresponding Langevin equation with colored noise is expressed in terms of an Ito integral.
Alon U.   +9 more
core   +1 more source

Origin of life: β‐sheet amyloid conformers as the primordial functional polymers on the early Earth and their role in the emergence of complex dynamic networks

open access: yesFEBS Letters, EarlyView.
The amyloid world hypothesis of the origin‐of‐life posits that the first functional polymers on the early Earth were structurally stable cross‐β‐sheet‐based peptide amyloids capable of Darwinian‐like evolution. Peptide amyloids display self‐replication and information transfer, as well as catalytic, adaptive, and evolutive properties.
Carl Peter J. Maury
wiley   +1 more source

Hierarchical modeling of molecular energies using a deep neural network

open access: yes, 2017
We introduce the Hierarchically Interacting Particle Neural Network (HIP-NN) to model molecular properties from datasets of quantum calculations. Inspired by a many-body expansion, HIP-NN decomposes properties, such as energy, as a sum over hierarchical ...
Barros, Kipton   +2 more
core   +1 more source

Influence of hydrogen bonds on glass transition and dielectric relaxations of cellulose [PDF]

open access: yes, 2011
The molecular dynamics in hydrated cellulose has been investigated by a combination of thermal analyses and dielectric spectroscopy. Differential scanning calorimetry shows the dependence upon hydration of the glass transition temperature Tg.
Dandurand, Jany   +3 more
core   +3 more sources

Metabolomics-Guided Discovery of New Dimeric Xanthones from Co-Cultures of Mangrove Endophytic Fungi Phomopsis asparagi DHS-48 and Phomopsis sp. DHS-11

open access: yesMarine Drugs
The co-culture strategy, which mimics natural ecology by constructing an artificial microbial community, is a useful tool for the activation of biosynthetic gene clusters (BGCs) to generate new metabolites, as well as to increase the yield of respective ...
Jingwan Wu   +4 more
doaj   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

Molecular mechanisms driving the microgels behaviour: a Raman spectroscopy and Dynamic Light Scattering study

open access: yes, 2019
Responsive microgels based on poly(N-isopropylacrylamide) (PNIPAM) exhibit peculiar behaviours due to the competition between the hydrophilic and hydrophobic interactions of the constituent networks. The interpenetration of poly-acrilic acid (PAAc), a pH-
Angelini, Roberta   +7 more
core   +1 more source

NaviCom: a web application to create interactive molecular network portraits using multi-level omics data

open access: yesbioRxiv, 2016
Human diseases such as cancer are routinely characterized by high-throughput molecular technologies, and multi-level omics data are accumulated in public databases at increasing rate.
Mathurin Dorel   +4 more
semanticscholar   +1 more source

Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions [PDF]

open access: yesNature Communications, 2019
Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate predictions of atomistic chemical properties, they do not ...
Kristof T. Schütt   +4 more
semanticscholar   +1 more source

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