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Venomous snake byte accidents produce more than 50 thousand deaths each year, particularly in the tropics where these accidents have become a public health problem. Ophidic accidents produce, amongst other symptoms, hemorrhages (SVMPs), myonecrosis (PLAs) and pain, and conventional serotherapies are only partially effective and can produce immune adverse effects. Hence natural antivenom proteins from mammals are being investigated [DM43 (antihemorrhagin) and DM64 (antimyotoxic) from opossum serum (Maruspialia: Didelphis)] which have demonstrated to be more effective. Additionally, venomous PLAs and SVMPs have their normal non-venomous endogenous counterparts (MMPs and PLAs), and when the balance between the latter and their inhibitors is broken, the following pathologies can occur: arthritis, arteriosclerosis, asthma, diabetes, septic shocks, neoplasias, inflammations, psoriasis, etc. It’s because of all these reasons, that an approximation to the 3D structure of DM64 was made here, with in silico homology methods, using the Swiss Model-Deep View system. Besides obtaining a similar model to that previously published by another group for DM43, the work presented here allowed the standardization of the SM-DV modeling technique as a very useful tool in our countries, given its efficency and low costs (SM-DV is freely available).
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