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1. Castrignanò T, D'Onorio De Meo P, Carrabino D, Orsini M, Floris M, Tramontano A The MEPS server for identifying protein conformational epitopes Meeting: BITS 2006 - Year: 2006 Full text in a new tab Topic: Combinatorial libraries and drug design Abstract: Missing |
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2. D'Alfonso G, Tramontano A, Lahm A Structural conservation in single domain proteins: implications for homology modeling Meeting: BIOCOMP 2001 - Year: 2001 Full text in a new tab Topic: Abstract: Missing |
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3. Marcatili P, Tramontano A MoVIN server: Motif Validation of Interaction Networks Meeting: BITS 2007 - Year: 2007 Full text in a new tab Topic: Structural biology and drug design Abstract: Missing |
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4. Oliva R, Cavallo L, Tramontano A Bioinformatics and quantum mechanics analysis of tRNA tertiary interactions Meeting: BITS 2007 - Year: 2007 Full text in a new tab Topic: Structural biology and drug design Abstract: Missing |
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5. Oliva R, Morea V, Montanari A, De Luca C, Francisci S, Besagni C, Bolotin-Fukuhara M, Tramontano A, Frontali L Bioinformatics and experimental characterisation of yeast mitochondrial tRNA mutants responsible of defective phenotypes mirroring human pathologies Meeting: BITS 2007 - Year: 2007 Full text in a new tab Topic: Structural biology and drug design Abstract: Missing |
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6. Tramontano A, Angeletti P About Bioinformatics Meeting: BIOCOMP 1999 - Year: 1999 Full text in a new tab Topic: Bioinformatics Abstract: The goal of Bioinformatics, in my view, is to develop and use a combination of computational approaches to learn as much as possible about proteins and the relationship between their sequence, structure and function. Molecular modelling techniques and methods for sequence and structure analysis become extremely powerful when they are combined with the results of experiments designed ad hoc and consequently all my recent projects have been carried out in collaboration with the experimental groups of IRBM. We have modelled the Hepatitis C Virus (HCV) protease, helicase, polymerase and E2 envelope glycoprotein, designed chimeric HCV proteins, analysed biochemical results in the context of the protein structures, modelled the protease domain of HCV-related viruses and, for the HCV vaccine program, we have designed a library aimed at mimicking the hypervariable region 1 of HCV and analysed the results of its selection and screening. These activities span a number of areas of Bioinfomatics and have had an impact on the development of new therapeutical agents. |