J Mol Model. 2025 Aug 20;31(9):251. doi: 10.1007/s00894-025-06481-x.
ABSTRACT
CONTEXT: hRPE65 is an essential enzyme in the retinoid visual cycle. Numerous missense variants of hRPE65 have been linked to retinal disorders, such as retinitis pigmentosa and Leber congenital amaurosis. Moreover, many hRPE65 missense mutations are currently classified as variants of uncertain significance (VUS) due to insufficient evidence for a definitive pathogenicity classification. Addressing this limitation is critical for enabling accurate diagnoses and identifying suitable candidates for gene therapy. For this reason, we developed a hRPE65-tailored computational strategy, based on a consensus of multiple in silico pathogenicity predictions, enabling a rapid and reliable evaluation of the potential pathogenic effect of over 200 hRPE65 VUS. The analysis provided valuable insights to support the reclassification of these variants and assist clinicians in assessing their suitability for gene therapy.
METHODS: In this study, we optimized our recently developed ConPath approach, which combines variant pathogenicity predictions from 19 different computational tools. In particular, we expanded the pool of predictive tools combined in the approach to 27, incorporated 3D-based methods that employ structural information for their prediction, and we refined the statistical framework for selecting the most reliable tools within an extended pool of more than 70 different methods. The tools were assessed based on their ability to discriminate pathogenic from benign hRPE65 missense mutations using an updated and expanded dataset of known hRPE65 variants. The resulting enhanced strategy, ConPath 2.0, was applied to the 210 hRPE65 VUS reported in the ClinVar database.
PMID:40833643 | DOI:10.1007/s00894-025-06481-x
