COMPUTATIONAL CHARACTERIZATION AND ANALYSIS OF THE ENZYMATIC CONTENT OF LOA LOA AND ITS COMPARISON WITH THE NEMATODE GENOMIC MODEL LITOMOSOIDES SIGMODONTIS
Katherine M. Subirana
Monica M. Arroyo, PhD
Department of Chemistry
PUCPR in Ponce

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OBJECTIVES

• 1. Characterize the enzymatic content with GO annotation of:
• Loa loa and Litomosoides sigmodontis using bioinformatics
• 2. Compare the enzymatic annotation of L. loa with L. Sigmodontis.
• 3. Analyze a fraction of the gene ontology of the proteome of:
• L. loa in terms of their function, excluding all the putatives.

METHODOLOGY

• Use of emerging and existing computational tools:
• BLAST2GO: Functional annotation and analyses
• of gene or proteins sequences.
• GALAXY Project: Open web based platform for
• accesible computational biomedical research.

RESULTS MOLECULAR FUNCTION LEVEL 2 L. LOA

RESULTS MOLECULAR FUNCTION LEVEL 3 L. LOA

FUTURE PROJECTIONS

• Identify the enzymes that exclusively belong to
• L. loa. This enzymes may be use as targets
• for the posible development of new and
• more effective treatments.