User profiles for P. Chandakkar
Parag S. ChandakkarMachine Learning Engineer, Argo AI Verified email at argo.ai Cited by 513 |
[HTML][HTML] AMP-activated protein kinase signaling activation by resveratrol modulates amyloid-β peptide metabolism
V Vingtdeux, L Giliberto, H Zhao, P Chandakkar… - Journal of Biological …, 2010 - ASBMB
Alzheimer disease is an age-related neurodegenerative disorder characterized by amyloid-β
(Aβ) peptide deposition into cerebral amyloid plaques. The natural polyphenol resveratrol …
(Aβ) peptide deposition into cerebral amyloid plaques. The natural polyphenol resveratrol …
[HTML][HTML] Novel synthetic small-molecule activators of AMPK as enhancers of autophagy and amyloid-β peptide degradation
…, P Chandakkar, H Zhao, C d'Abramo, P Davies… - The FASEB …, 2011 - ncbi.nlm.nih.gov
… ., Marambaud, P. Novel synthetic small-molecule activators of AMPK as enhancers of …
With a molecular weight <500 Da, a log P <5, and <5 H-bond donors and 10 H-bond acceptors (…
With a molecular weight <500 Da, a log P <5, and <5 H-bond donors and 10 H-bond acceptors (…
[HTML][HTML] AMP-activated protein kinase modulates tau phosphorylation and tau pathology in vivo
… In addition, our results show that the phosphorylation pattern of tau Thr 231 is different from
that of p-Thr 172 AMPK following AICAR treatment. These results suggest that tau Thr 231 …
that of p-Thr 172 AMPK following AICAR treatment. These results suggest that tau Thr 231 …
[HTML][HTML] Small-molecule activators of AMP-activated protein kinase (AMPK), RSVA314 and RSVA405, inhibit adipogenesis
…, P Chandakkar, H Zhao, P Davies, P Marambaud - Molecular …, 2011 - Springer
AMP-activated protein kinase (AMPK) is a sensor and regulator of cellular energy metabolism
potentially Implicated In a broad range of conditions, including obesity and Alzheimer’s …
potentially Implicated In a broad range of conditions, including obesity and Alzheimer’s …
[HTML][HTML] Correcting Smad1/5/8, mTOR, and VEGFR2 treats pathology in hereditary hemorrhagic telangiectasia models
S Ruiz, H Zhao, P Chandakkar… - The Journal of …, 2020 - Am Soc Clin Investig
… the levels of phospho-mTOR (p-mTOR) and phospho-S6 (p-S6) in the liver and retina.
Western blot analyses revealed robust increases in p-mTOR and p-S6 levels in whole-liver …
Western blot analyses revealed robust increases in p-mTOR and p-S6 levels in whole-liver …
Tacrolimus rescues the signaling and gene expression signature of endothelial ALK1 loss-of-function and improves HHT vascular pathology
… P-values were adjusted for multiple testing using the FDR method (77). Heat maps were
constructed with MetaR, using the pheatmap R package. Gene annotations were determined …
constructed with MetaR, using the pheatmap R package. Gene annotations were determined …
[HTML][HTML] A mouse model of hereditary hemorrhagic telangiectasia generated by transmammary-delivered immunoblocking of BMP9 and BMP10
S Ruiz, H Zhao, P Chandakkar, PK Chatterjee… - Scientific reports, 2016 - nature.com
… Notably, in BMP9/10-immunoblocked retinas, we found a significant increase in the expression
of Angpt2 (first hit when sorting by adjusted P-values, log2 fold change = 0.71, adjusted P …
of Angpt2 (first hit when sorting by adjusted P-values, log2 fold change = 0.71, adjusted P …
ANG2 blockade diminishes proangiogenic cerebrovascular defects associated with models of hereditary hemorrhagic telangiectasia
…, A Nomura-Kitabayashi, P Chandakkar… - … and Vascular Biology, 2023 - Am Heart Assoc
BACKGROUND: Hereditary hemorrhagic telangiectasia (HHT) is a vascular disorder
characterized by arteriovenous malformations and blood vessel enlargements. However, there are …
characterized by arteriovenous malformations and blood vessel enlargements. However, there are …
Strategies for re-training a pruned neural network in an edge computing paradigm
Construction of robust and accurate deep neural networks (DNNs) is a computationally
demanding and time-consuming process. Such networks also end up being memory intensive. …
demanding and time-consuming process. Such networks also end up being memory intensive. …
Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features
All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening
complication. Early detection and timely treatment can reduce the occurrence of …
complication. Early detection and timely treatment can reduce the occurrence of …