Transcript Diapositiva 1 - CINVESTAV Unidad Irapuato

DR. STEFANO DONADIO
Fundador y Presidente
KtedoGen, Italia.
http://www.ktedogen.com/stefano.html
Miercoles 20 de Octubre
12:00pm
Sala de Seminarios
4º PISO, Edificio B
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There is an urgent need for new antibiotics effective against the increasing
number of multidrug resistant pathogens. Natural products have
represented and still represent an important source of chemical diversity.
Our core technology is represented by a microbial product platform
acquired from the former Biosearch Italia/Vicuron and we are thus
undertaking different approaches to discover previously unreported
chemical classes or significantly improved variants of existing classes. One
approach is represented by data mining from a database of previously
generated HTS data; the other approach consists in directly screening new
actinomycete taxa. For the data mining approach, we have looked at a
program aimed at identifying inhbitors of cell wall biosynthesis. From it, we
have identified several novel lantibiotics from diverse actinomycete genera,
revised the structure of a previously reported molecule and compared their
bioactivities to those of NAI-107, produced by a Microbispora strain, the
most advanced compound in this series. NAI-107 shows excellent activity
against all isolates of Staphylococcus aureus, Streptococcus pneumoniae
and enterococci, irrespective of their reisistance phenotype. This molecule
is also efficacious in several models of experimental infections. Other
lantibiotics structurally related to NAI-107 have been characterized and
their properties will be presented. Concerning the second approach, in the
course of an isolation program aimed at identifying actinomycetes
belonging to new taxa, we isolated hundreds of different representatives of
a new taxon within the suborder Thermomonosporaceae, initially
denominated "alpha" and
independently named Actinoallomurus. We
present a phylogenetic analysis of some strains from our collection and the
preliminary results from a screening program, with the first metabolites
identified from the genus Actinoallomurus.