AlphaCRV: A Pipeline for Identifying Accurate Binder Topologies in Mass-Modeling with AlphaFold

Guzmán-Vega, F. J. & Arold, S. T. (2024). bioRxiv. doi: https://doi.org/10.1101/2024.02.07.578780

I developed a pipeline to find the true binding topologies in proteome-wide protein-protein interaction screens.

Leveraging AI Advances and Online Tools for Structure-Based Variant Analysis

Guzmán-Vega, F. J., González-Álvarez, A. C., Peña-Guerra, K. A., Cardona-Londoño, K. J., & Arold, S. T. (2023). Current Protocols, 3, e857. https://doi.org/10.1002/cpz1.857.

I led the design and drafting of a protocol to help clinicians and researchers interpret protein variants from a structural perspective.

Novel Homozygous Variants of SLC13A5 Expand the Functional Heterogeneity of a Homogeneous Syndrome of Early Infantile Epileptic Encephalopathy.

Alsemari, A., Guzmán-Vega, F. J., Meyer, B. F., Arold, S. T. (2024) Pediatric Neurology, 151, 68-72. https://doi.org/10.1016/j.pediatrneurol.2023.10.005.

I modeled the 3D structure of the SLC13A5 dimer and evaluated disease-associated variants that strongly suggested an impairment of the sodium/citrate transport of SLC13A5.

An open-source, automated, and cost-effective platform for COVID-19 diagnosis and rapid portable genomic surveillance using nanopore sequencing.

Ramos-Mandujano, G., Grünberg, R., Zhang, Y., Bi, C., Guzmán-Vega, F. J. et al. (2023). Sci Rep, 13, 20349. https://doi.org/10.1038/s41598-023-47190-w.

I helped implement an automated RNA extraction protocol on a Tecan EVO-200 liquid handling robot.

Rapid Evolution of Plastic-degrading Enzymes Prevalent in the Global Ocean.

Alam, I., Aalismail, N., Martin, C., Kamau, A., Guzmán-Vega, F. J. et al. (2020). bioRxiv. doi: https://doi.org/10.1101/2020.09.07.285692.

I modeled the 3D structure of putative oceanic PETases, and designed a scoring system to rank their potential efficiency compared to the PETase from Ideonella sakaiensis.