ArticleEnzyme research2012
Computational prediction of protein-protein interactions of human tyrosinase.
Article in Enzyme research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Metabolic Basis and Clinical Evidence for Skin Lightening Effects of Thiol Compounds.Antioxidants (Basel, Switzerland) · 2022Review
- Identification of L-Cysteinamide as a Potent Inhibitor of Tyrosinase-Mediated Dopachrome Formation and Eumelanin Synthesis.Antioxidants (Basel, Switzerland) · 2021Article
- MHC binding peptides for designing of vaccines againstSaudi journal of biological sciences · 2018Article
- Estimation of Inhibitory Effect against Tyrosinase Activity through Homology Modeling and Molecular Docking.Enzyme research · 2015Article
- Epithelial expression of FHL2 is negatively associated with metastasis-free and overall survival in colorectal cancer.British journal of cancer · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The various studies on tyrosinase have recently gained the attention of researchers due to their potential application values and the biological functions. In this study, we predicted the 3D structure of human tyrosinase and simulated the protein-protein interactions between tyrosinase and three binding partners, four and half LIM domains 2 (FHL2), cytochrome b-245 alpha polypeptide (CYBA), and RNA-binding motif protein 9 (RBM9). Our interaction simulations showed significant binding energy scores of -595.3 kcal/mol for FHL2, -859.1 kcal/mol for CYBA, and -821.3 kcal/mol for RBM9. We also investigated the residues of each protein facing toward the predicted site of interaction with tyrosinase. Our computational predictions will be useful for elucidating the protein-protein interactions of tyrosinase and studying its binding mechanisms.
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Registered trials
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