In silico sequence analysis, homology modeling and function annotation of leishmanolysin from .

Leishmaniases are a complex of diseases that range from the deadly visceral disease and some self-curing lesions to gross disfigurations. About 12 million peoples from 88 different countries get infected by this protozoan parasite through the sand flies. Visceral leishmaniasis is a potentially fatal disease endemic to large parts of Asia and Africa, primarily caused by the protozoan parasite . is a species of , a hemoflagellate parasite and causative agent of visceral leishmaniasis. Leishmanolysin is the major surface protein of the parasitic . Leishmanolysin has been described as a parasite virulence factor and is involved in the direct interaction of promastigotes and host macrophage receptors and interaction with the complement cascade. In the current study we predicted the 3D structure of leishmanolysin using homology modeling as 3D structure prediction approach. Leishmanolysin is a stable extracellular stable protein of 561 amino acid residues. 3D structure of the leishmanolysin was determined using Protein Structure Prediction Server (PS Server) selecting MODELLER as 3D structure prediction method. Quality analysis of the model through its Ramchandran Plot and ERRAT value (94.25) indicated that it is a reliable model. Functional annotation showed that this protein is a member of the superfamily cl18220. The information thus discussed provides insight to the molecular understanding of structure and function of leishmanolysin from . The predicted 3-D model may be further used in characterizing the protein in wet laboratory.