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Mattia CF Prosperi University of “Roma TRE” Faculty of Computer Science Engineering Dept. of Computer Science and Automation (DIA) via della vasca navale, 79 -00146- Roma. Use of Bioisosteric Replacement Tools to Obtain Mutation-Resistant Antivirals. Outline.
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Mattia CF Prosperi University of “Roma TRE” Faculty of Computer Science Engineering Dept. of Computer Science and Automation (DIA) via della vasca navale, 79 -00146- Roma Use of Bioisosteric Replacement Tools to Obtain Mutation-Resistant Antivirals
Outline • HIV-1 is a highly mutating virus which is able to develop quickly resistance to antiretrovirals • Combined treatments (HAART) are the current choice to lower the viral load to undetectable levels in the body • Even if the patients’ expected survival time is increased, HIV-1 ultimately can develop cross-resistance • HAARTs are harmful for the body due to toxicity
Aim • Mutational pathways of HIV-1 can be explored with respect to natural evolution and under drug pressure • Phenotypic tests, naïve vs treated population samples • New compounds can be designed not only to be effective against wild type strains, but also against resistant population
Integration of Techniques • Viral Resistance to commercial Drugs • Analyses on in-vitro phenotypic tests and Population sampling • Derivation of different mutational sets • Huge genomic data base • Los Alamos (more than 27,000 HIV-1 protease sequences) • Molecular Modelling and Computer Aided Drug Design • HIV-1 protease 3D structure modelling • Wild type sequences, Mutant sequences • MOL and Modeller • Molecular Interaction Fields • Scaffold Hopping • GRID, SHOP
Results (preliminary) • Two mutant structures of HIV-1 protease were considered • These structures were exhibiting opposite phenotypic behaviour for two compounds (SQV and DRV) • SHOP was able to suggest in both cases the replacement of fragments from one drug to another when considering the mutant structures