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Determining human-coronavirus protein-protein interaction using machine intelligence

Medicine in Novel Technology and Devices 2023年第2期18卷 123-142页

作者： arijit Chakraborty Sajal Mitra Mainak Bhattacharjee Debashis De Anindya J.Pal Bachelor of Computer Application Department The Heritage AcademyKolkataIndia Department of Computer Science and Engineering Heritage Institute of TechnologyKolkataIndia Department of Biotechnology Heritage Institute of TechnologyKolkataIndia Department of Computer Science and Engineering Maulana Abul Kalam Azad University of TechnologyKolkataIndia University of Burdwan BurdwanIndia

The Severe Acute Respiratory Syndrome CoronaVirus 2(SARS-CoV-2)virus spread the novel CoronaVirus−19(nCoV-19)pandemic,resulting in millions of fatalities *** research demonstrated that the Protein-Protein Interaction(PPI)between SARS-CoV-2 and human proteins is accountable for viral ***,many of these PPIs are poorly understood and unexplored,necessitating a more in-depth investigation to find latent yet critical *** article elucidates the host-viral PPI through Machine Learning(ML)lenses and validates the biological significance of the same using web-based *** classifiers are designed based on comprehensive datasets with five sequence-based features of human proteins,namely Amino Acid Composition,Pseudo Amino Acid Composition,Conjoint Triad,Dipeptide Composition,and Normalized Auto Correlation.A majority voting rule-based ensemble method composed of the Random Forest Model(RFM),AdaBoost,and Bagging technique is proposed that delivers encouraging statistical performance compared to other models employed in this *** proposed ensemble model predicted a total of 111 possible SARS-CoV-2 human target proteins with a high likelihood factor≥70%,validated by utilizing Gene Ontology(GO)and KEGG pathway enrichment ***,this research can aid in a deeper understanding of the molecular mechanisms underlying viral pathogenesis and provide clues for developing more efficient anti-COVID medications.

关键词： Coronavirus Ensemble learning Machine intelligence Protein-protein interaction

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Deccan volcanism and riff-related magmatic rocks of Kutch, western India

Deccan volcanism and riff-related magmatic rocks of Kutch, w...

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International Conference on Continental Volcanism

作者： D.K.Paul arijit Ray B.Das S.K.Patil S.K.Biswas Department of Geology Presidency CollegeCalcutta 700073India Department of Geology Presidency CollegeCalcutta 700073India Department of Geology Presidency CollegeCalcutta 700073India Indian Institute of Geomagnetism Alibagh 402201MaharashtraIndia Flat 201 C-WingISM House818AThakur VillageKandivali（E）Mumbai 400101India

＜正＞Deccan volcanic eruption started in northwest India. The westernmost on-land exposure of Deccan volcanic activity is found in the Kutch-Saurashtra region. Currently active volcanism at the Reunion Island is considered to be the remaining "tail" of the Deccan plume "head". The Kutch basin originated as a pericratonic rift in late Triassic. The rifting was aborted in Late Cretaceous. Alkaline rocks with pyroxenite, syenite, and lamprophyre occur in

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Preventive Effect of Genetic Knockdown and Pharmacological Blockade of CysLT1R on Lipopolysaccharide （LPS）-induced Memory Deficit and Neurotoxicity in vivo

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神经药理学报 2018年第2期 29-29页

作者： CHEN Fang arijit Ghosh TANG Su-su HONG Hao Department of Pharmacology Key Laboratory of Neuropsychiatric DiseasesChina Pharmaceutical University

The aim of the current study was to find out the role of CysLT1R on lipopolysaccharide（LPS）-induced cognitive deficit and neurotoxicity. sh RNA-mediated knockdown or pharmacological blockade（ by pranlukast） of CysLT1R were performed in ICR mice for 21 days prior to systemic infusion of LPS. From day 22,LPS was administered for 7 days and then a set of behavioral,histopathological and biochemical tests were employed to test memory,neuroinflammation and apoptotic responses in the mouse hippocampus. LPS（ only）-treated mice showed poor performance in both Morris water maze（MWM） and Y-maze tests. However,sh RNA-mediated knockdown or pranlukast-treated blockade of CysLT1R improved performance of the mice in these tests. To find out the possible underlying mechanisms,we assessed several parameters such as microglial activation（ by immunohistochemistry）,level of CysLT1R（ by WB and q RT-PCR） and the inflammatory/apoptotic pathways（ by ELISA or TUNEL or WB） in the mouse hippocampus. LPS-induced memory impairment was accompanied by activation of microglia,higher levels of CysLT1R,IL-1β,TNF-α and nuclear NF-κB p65. LPS also caused apoptosis in the hippocampus as detected by TUNEL staining,further supplemented by detection of increased Caspase-3 and a reduced Bcl-2/Bax ratio. All of these adverse changes in the mouse hippocampus were inhibited by pretreatment with CysLT1R-sh RNA and pranlukast. Through this study we suggest that CysLT1R shares a strong correlation with LPS-associated memory deficit,neuroinflammation and apoptosis and CysLT1R could be a novel target for preventive measures to intervene the progression of Alzheimer's disease（ AD）-like phenotypes.

关键词： Alzheimer’s disease Bcl-2/Bax Caspase-3 CysLT1R IL-1β NF-κB p65 TNF-α

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