Comprehensive bioinformatics analysis of the human PTEN gene and protein using publicly available databases and computational tools.
In silico analysis of selected human PTEN variants using SIFT, PolyPhen-2, I-Mutant 2.0, Project HOPE, and ClinVar to investigate their predicted functional, structural, stability, and clinical significance.
Comprehensive molecular dynamics simulations and drug design analysis for PTEN protein: workflows include protein dynamics, binding site detection, ligand screening, and filtering for therapeutic discovery.
Machine learning and structural dynamics workflows for interpreting PTEN missense mutations shared by cancer and ASD.
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