Results 71 to 80 of about 218 (163)

Diarylpyrimidine−Dihydrobenzyloxopyrimidine Hybrids: New, Wide-Spectrum Anti-HIV-1 Agents Active at (Sub)-Nanomolar Level

open access: yes, 2016
Here, we describe a novel small series of non-nucleoside reverse transcriptase inhibitors (NNRTIs) that combine peculiar structural features of diarylpyrimidines (DAPYs) and dihydro-alkoxy-benzyl-oxopyrimidines (DABOs).
Alberta Samuele (2060419)   +9 more
core   +2 more sources

Discovery of novel diarylpyrimidines as potent HIV-1 NNRTIs by investigating the chemical space of a less explored "hydrophobic channel"

open access: yes, 2018
A new series of diarylpyrimidines (DAPYs) were designed, synthesized and evaluated as novel HIV-1 NNRTIs to further explore the chemical space surrounding the "hydrophobic channel" of the NNRTI binding pocket (NNIBP), guided by the comprehensive analysis
Daelemans, Dirk   +9 more
core   +1 more source

Electric Vehicle Adoption Modeling in France: A Systematic Literature Review [PDF]

open access: yesIEEM 2024, IEEE, Dec 2023, Singapore (SG), Singapore
France is one of the pioneer countries in the use of Electric Vehicles (EVs). The French government aims to complete the transition to EVs by 2040. Therefore, modeling related to the adoption of EVs is needed in order to determine the potential policies needed to achieve this goal.
arxiv  

Diarylpyrimidine-dihydrobenzyloxopyrimidine hybrids: New, wide-spectrum anti-HIV-1 agents active at (Sub)-nanomolar level

open access: yes, 2021
Here, we describe a novel small series of non-nucleoside reverse transcriptase inhibitors (NNRTIs) that combine peculiar structural features of diarylpyrimidines (DAPYs) and dihydro-alkoxy-benzyl-oxopyrimidines (DABOs).
Rotili D.
core  

Cellpose+, a morphological analysis tool for feature extraction of stained cell images [PDF]

open access: yesarXiv
Advanced image segmentation and processing tools present an opportunity to study cell processes and their dynamics. However, image analysis is often routine and time-consuming. Nowadays, alternative data-driven approaches using deep learning are potentially offering automatized, accurate, and fast image analysis.
arxiv  

DAPI: Domain Adaptive Toxicity Probe Vector Intervention for Fine-Grained Detoxification [PDF]

open access: yesarXiv
There have been attempts to utilize linear probe for detoxification, with existing studies relying on a single toxicity probe vector to reduce toxicity. However, toxicity can be fine-grained into various subcategories, making it difficult to remove certain types of toxicity by using a single toxicity probe vector. To address this limitation, we propose
arxiv  

HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator [PDF]

open access: yesarXiv
Computational analysis of multiplexed immunofluorescence histology data is emerging as an important method for understanding the tumour micro-environment in cancer. This work presents HEMIT, a dataset designed for translating Hematoxylin and Eosin (H&E) sections to multiplex-immunohistochemistry (mIHC) images, featuring DAPI, CD3, and panCK markers ...
arxiv  

Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells [PDF]

open access: yesarXiv
Circulating tumor cells (CTCs) are crucial biomarkers in liquid biopsy, offering a noninvasive tool for cancer patient management. However, their identification remains particularly challenging due to their limited number and heterogeneity. Labeling samples for contrast limits the generalization of fluorescence-based methods across different hospital ...
arxiv  

Use of DAPI Staining for Quantitation of Cell Chemotaxis [PDF]

open access: yesBioTechniques, 2001
Boguslawski, George   +3 more
openaire   +4 more sources

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