Structural and Computational Insights into Transketolase-like 1 (TKTL-1): Distinction from TKT and Implications for Cancer Metabolism and Therapeutic Targeting
Transketolase-like protein 1 (TKTL-1) has been implicated in altered cancer metabolism, yet its structure and molecular function remain poorly understood. In this study, we established a homology model of TKTL-1 using multiple templates and validated it through sequence alignment and structural comparison with the canonical transketolase (TKT). Binding-site identification was performed using CASTp, receptor cavity mapping, and blind docking, all of which consistently pointed to a conserved region involving interactive residues shared between TKT and TKTL-1. Comparative docking revealed the reduced affinity of TKTL-1 for TDP, supporting functional divergence between TKTL-1 and TKT. We further analyzed conserved residues and receptor surfaces, which enabled us to propose predictive scaffolds as potential modulators of TKTL-1. While these scaffolds remain theoretical, they provide a computational framework to guide future pharmacophore modeling, molecular dynamics simulations, and experimental validation. Together, our study highlights the structural features of TKTL-1, establishes its key differences from TKT, and lays the groundwork for future drug discovery efforts targeting cancer metabolism.
Authors
- Nwaogwugwu Joel Caleb (ORCID: https://orcid.org/0000-0002-4655-8312)
- Sameh H. Abdelwahed (ORCID: https://orcid.org/0000-0002-3445-4065)
- Junaid Ahmad (ORCID: https://orcid.org/0000-0002-0925-1346)
Institutions
- Prairie View A&M University (US)
Publication Details
- Journal
- Molecules
- Published
- 2025-09-27
- DOI
- https://doi.org/10.3390/molecules30193905
- Primary Topic
- Metabolism, Diabetes, and Cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00