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Updated: Mar 8, 2026

Zebrafish Model of Neuroblastoma Metastasis
Published on: March 14, 2021
Targeting Neuroblastoma Cell Surface Proteins: Recommendations for Homology Modeling of hNET, ALK, and TrkB
Yazan Haddad1, Zbyněk Heger1, Vojtech Adam1
1Department of Chemistry and Biochemistry, Mendel University in BrnoBrno, Czechia; Central European Institute of Technology, Brno University of TechnologyBrno, Czechia.
Abstract:
Targeted therapy is a promising approach for treatment of neuroblastoma as evident from the large number of targeting agents employed in clinical practice today. In the absence of known crystal structures, researchers rely on homology modeling to construct template-based theoretical structures for drug design and testing. Here, we discuss three candidate cell surface proteins that are suitable for homology modeling: human norepinephrine transporter (hNET), anaplastic lymphoma kinase (ALK), and neurotrophic tyrosine kinase receptor 2 (NTRK2 or TrkB). When choosing templates, both sequence identity and structure quality are important for homology modeling and pose the first of many challenges in the modeling process. Homology modeling of hNET can be improved using template models of dopamine and serotonin transporters instead of the leucine transporter (LeuT). The extracellular domains of ALK and TrkB are yet to be exploited by homology modeling. There are several idiosyncrasies that require direct attention throughout the process of model construction, evaluation and refinement. Shifts/gaps in the alignment between the template and target, backbone outliers and side-chain rotamer outliers are among the main sources of physical errors in the structures. Low-conserved regions can be refined with loop modeling method. Residue hydrophobicity, accessibility to bound metals or glycosylation can aid in model refinement. We recommend resolving these idiosyncrasies as part of "good modeling practice" to obtain highest quality model. Decreasing physical errors in protein structures plays major role in the development of targeting agents and understanding of chemical interactions at the molecular level.
Insights
Homology modeling aids neuroblastoma drug design by creating protein structures. Improving these models enhances the development of targeted therapies by refining molecular interactions.
Area of Science:
- Computational biology
- Structural biology
- Drug discovery
Background:
- Targeted therapy is a key strategy for neuroblastoma treatment.
- Homology modeling is crucial for drug design when crystal structures are unavailable.
Purpose of the Study:
- To discuss homology modeling for three neuroblastoma-related proteins: hNET, ALK, and TrkB.
- To highlight challenges and best practices in homology modeling for drug design.
Main Methods:
- Selecting appropriate templates based on sequence identity and structure quality.
- Addressing modeling idiosyncrasies like alignment gaps and outliers.
- Utilizing loop modeling and residue properties for refinement.
Main Results:
- Homology modeling of hNET can be improved by using related transporter templates.
- Extracellular domains of ALK and TrkB present opportunities for homology modeling.
- Identifying and resolving structural errors is critical for model quality.
Conclusions:
- Adhering to good modeling practices improves the accuracy of protein structures.
- High-quality models are essential for developing effective neuroblastoma targeting agents.
- Refined models enhance understanding of molecular interactions in drug development.

