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Narsimha Reddy Penthala

University of Arkansas for Medical Sciences, College of Pharmacy, Department of Pharmaceutical Sciences

Little Rock, AR

United States

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Aggregate Interactome Based on Protein-Crosslinking Interfaces Predicts Drug Targets to Limit Aggregation in Neurodegenerative Diseases

Number of pages: 41 Posted: 01 Apr 2019
Meenakshisundaram Balasubramaniam, Srinivas Ayyadevara, Akshatha Ganne, Samuel Kakraba, Narsimha Reddy Penthala, Xiuxia Du, Peter A. Crooks, Sue T. Griffin and Robert J. Shmookler Reis
Central Arkansas Veterans Healthcare Service - McClellan Veterans Medical Center, Central Arkansas Veterans Healthcare Service - McClellan Veterans Medical Center, University of Arkansas for Medical Sciences - Bioinformatics Program, University of Arkansas for Medical Sciences - Bioinformatics Program, University of Arkansas for Medical Sciences, College of Pharmacy, Department of Pharmaceutical Sciences, University of North Carolina (UNC) at Charlotte - Department of Bioinformatics & Genomics, University of Arkansas for Medical Sciences, College of Pharmacy, Department of Pharmaceutical Sciences, Central Arkansas Veterans Healthcare Service - McClellan Veterans Medical Center and Central Arkansas Veterans Healthcare Service - McClellan Veterans Medical Center
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Alzheimer’s Disease, Neurodegeneration, Protein Aggregation, Protein Interaction, NSAID, Nonsteroidal Anti-Inflammatory Drug, Disordered Proteins, Neural Network