The Role of Protein Modelling in Predicting the Disease Severity of Cystinuria
Author:
Publisher
Elsevier BV
Subject
Urology
Reference5 articles.
1. The genetic diversity of cystinuria in a UK population of patients;Wong;BJU Int,2015
2. ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids;Ashkenazy;Nucleic Acids Res,2010
3. 3DLigandSite: predicting ligand-binding sites using similar structures;Wass;Nucleic Acids Res,2010
4. firestar—advances in the prediction of functionally important residues;Lopez;Nucleic Acids Res,2011
5. The Phyre2 web portal for protein modeling, prediction and analysis;Kelley;Nat Protoc,2015
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1. Clinical Course and Mutational Analysis of Patients with Cystine Stone: A Single-Center Experience;Biomedicines;2023-10-11
2. 3DLigandSite: structure-based prediction of protein–ligand binding sites;Nucleic Acids Research;2022-04-12
3. Non-contrast computed tomography characteristics in a large cohort of cystinuria patients;World Journal of Urology;2020-11-09
4. Hypertension and renal impairment in patients with cystinuria: findings from a specialist cystinuria centre;Urolithiasis;2019-02-25
5. Cystinuria: genetic aspects, mouse models, and a new approach to therapy;Urolithiasis;2018-12-04
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