Publications by authors named "Carla Al Assaf"

Background: Predict whether a mutation is deleterious based on the custom 3D model of a protein.

Results: We have developed MODICT, a mutation prediction tool which is based on per residue RMSD (root mean square deviation) values of superimposed 3D protein models. Our mathematical algorithm was tested for 42 described mutations in multiple genes including renin (REN), beta-tubulin (TUBB2B), biotinidase (BTD), sphingomyelin phosphodiesterase-1 (SMPD1), phenylalanine hydroxylase (PAH) and medium chain Acyl-Coa dehydrogenase (ACADM).

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Summary: Today's genome browsers and protein databanks supply vast amounts of information about proteins. The challenge is to concisely bring together this information in an interactive and easy to generate format.

Availability And Implementation: We have developed an interactive CIRCOS module called i-PV to visualize user supplied protein sequence, conservation and SNV data in a live presentable format.

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The JAK2 V617F mutation, the thrombopoietin receptor MPL W515K/L mutation and calreticulin (CALR) mutations are mutually exclusive in essential thrombocythemia and support a novel molecular categorization of essential thrombocythemia. CALR mutations account for approximately 30% of cases of essential thrombocythemia. In a retrospective study, we examined the frequency of MPL and CALR mutations in JAK2 V617F-negative cases of essential thrombocythemia (n=103).

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