With the rapidly-reducing costs of whole genome and exome sequencing, clinical genomic testing is being increasingly applied in the identification of pathogenic disease variants in patients. New sequence variants are often identified, but many are classified as variants of uncertain significance (VUS) due to the lack of functional assays to study their effects. Computational structural modeling of protein structures can provide information at the atomic level and help to predict the pathogenicity of novel mutations by placing variants of uncertain significance in the context of the patient’s disease, pathophysiology, and protein function. Our team collaborates with clinicians and researchers around the world to model novel disease variants and better understand their patients’ disease. Please contact us for a consultation or collaboration.