Multimodal interactions of drugs, natural compounds and pollutants with the gut microbiota
AE Lindell, M Zimmermann-Kogadeeva… - Nature Reviews …, 2022 - nature.com
… 797 different foods containing 15,750 detected natural compounds and a further 55,176
expected and predicted compounds. Besides the natural compounds present in our food, we …
expected and predicted compounds. Besides the natural compounds present in our food, we …
Multimodal interactions
T Thomas-Danguin, C Sinding, C Tournier, A Saint-Eve - Flavor, 2016 - Elsevier
… In this chapter, we propose a review of multimodal interactions in the context of food flavor
construction and modulation. In the first part, we focus on interactions within the chemical …
construction and modulation. In the first part, we focus on interactions within the chemical …
Imaging mass spectrometry for metabolites: technical progress, multimodal imaging, and biological interactions
… We introduce some multimodal imaging systems together with examples of their application
in the section entitled ‘Multimodal imaging systems.’ Nowadays, cutting-edge research often …
in the section entitled ‘Multimodal imaging systems.’ Nowadays, cutting-edge research often …
A real-time framework for natural multimodal interaction with large screen displays
N Krahnstoever, S Kettebekov… - … on Multimodal …, 2002 - ieeexplore.ieee.org
… for designing a natural multimodal human computer interaction (HCI) sys… To achieve natural
interaction, both audio and visual … To assess the impact of these multimodal systems (MMS), …
interaction, both audio and visual … To assess the impact of these multimodal systems (MMS), …
Multimodal strategies to fight obesity: research on tailored therapies based on natural and synthetic compounds for prevention, management and treatment
A D'Anneo, M Lauricella - International Journal of Molecular Sciences, 2023 - mdpi.com
… A natural compound that has attracted the interest of researchers is curcumin, a polyphenol
extracted from the rhizome of Curcuma longa L. A consistent piece of evidence has …
extracted from the rhizome of Curcuma longa L. A consistent piece of evidence has …
Toward explainable anticancer compound sensitivity prediction via multimodal attention-based convolutional encoders
… anticancer compound sensitivity using a multimodal attention-… pillars of drug sensitivity:
compounds’ structure in the form of … on intracellular interactions from protein–protein interaction …
compounds’ structure in the form of … on intracellular interactions from protein–protein interaction …
Multifunctional compounds: Smart molecules for multifactorial diseases
Y Bansal, O Silakari - European Journal of Medicinal Chemistry, 2014 - Elsevier
… pharmacophores exerts its activities by interacting with respective receptors of its constituent
pharmacophores. It may also exhibit additional binding interactions with the receptor sites …
pharmacophores. It may also exhibit additional binding interactions with the receptor sites …
Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events
… A doctor or physician prescribing multiple drugs to a patient may cause a drug-to-drug
interaction, or we can say the drug-to-drug interaction is a medication error 1 . A drug interaction …
interaction, or we can say the drug-to-drug interaction is a medication error 1 . A drug interaction …
From target to drug: generative modeling for the multimodal structure-based ligand design
… To capture diverse multimodality, we trained the model with active compounds docked to
their targets. The docked poses might fail to represent the real poses using docking, but we …
their targets. The docked poses might fail to represent the real poses using docking, but we …
[图书][B] Analyzing multimodal interaction: A methodological framework
S Norris - 2004 - taylorfrancis.com
… analysis of multimodal interaction is the need to explicitly link the analysis of interaction to
… Chapter 7 utilizes the complete methodology for analyzing multimodal interaction, showing …
… Chapter 7 utilizes the complete methodology for analyzing multimodal interaction, showing …
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