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Amyloidogenic Propensity of Metabolites in the Uric Acid Pa..:

Monisha Patel ; Ankita Jaiswal ; Anam Naseer...
doi:10.1021/acschemneuro.3c00563.s001. , 2024

Link: https://doi.org/10.1021/acschemneuro.3c00563.s001

RT Journal
T1 <Title>Amyloidogenic Propensity of Metabolites in the Uric Acid Pathway and Urea Cycle Critically Impacts the Etiology of Metabolic Disorders</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_25242702&Exemplar=1&LAN=DE
				
A1 Monisha Patel
A1 Ankita Jaiswal
A1 Anam Naseer
A1 Ankita Tripathi
A1 Aayushi Joshi
A1 Tarun Minocha
A1 Aanand Kautu
A1 Shilpi Gupta
A1 Khashti Ballabh Joshi
A1 Manoj Kumar Pandey
A1 Randhir Kumar
A1 Kshatresh Dutta Dubey
A1 Aamir Nazir
A1 Sandeep Verma
A1 Nidhi Gour
YR 2024
K1 Biophysics
K1 Biochemistry
K1 Neuroscience
K1 Biotechnology
K1 Ecology
K1 Immunology
K1 Cancer
K1 Computational Biology
K1 Chemical Sciences not elsewhere classified
K1 uric acid pathway
K1 hydrogen bonding interactions
K1 compelling phenomenon wherein
K1 common etiological link
K1 atomic force microscopy
K1 aggregative property exhibited
K1 lns )
K1 xanthinuria
K1 mtt assay revealed
K1 involved metabolites could
K1 tem )
K1 afm )
K1 vivo </
K1 vitro </
K1 vital roles
K1 urea cycle
K1 unified perspective
K1 toxic effects
K1 targeted interventions
K1 specifically hypoxanthine
K1 simulation underscore
K1 principal metabolites
K1 potentially providing
K1 pathological implications
K1 ordered assembly
K1 molecular dynamics
K1 metabolite amyloids
K1 metabolic disorders
K1 mechanistically characterize
K1 insights obtained
K1 inborn errors
K1 hence report
K1 cytotoxic trait
K1 assembly process
K1 amyloidogenic propensity
K1 amyloidogenic nature
K1 amyloid nature
K1 aggregation profiles
JF doi:10.1021/acschemneuro.3c00563.s001
LK http://dx.doi.org/https://doi.org/10.1021/acschemneuro.3c00563.s001
DO https://doi.org/10.1021/acschemneuro.3c00563.s001
SF ELIB - SuUB Bremen

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