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Alfredo Iacoangeli


Personal Informations
Name -- Alfredo Iacoangeli 
Address 61, viale dello scalo s. lorenzo, 00185, Roma
Telephone +393498840857
E-mail alfredo(dot)iacoangeli(at)uniroma1(dot)it
Nationality Italian
Date of birth 13, March, 1986


Dates(from) -- November 2012
Position PhD student in Bioinformatics and Computational Biology (Pasteurian Sciences School).
Institution Department of Molecular Medicine, University of Rome "La Sapienza", P.le Aldo Moro, 5 -- 00185 Rome –Italy.
Dates (from-to)

October 2010 - October 2012.

Title of qualification awarded Master's Degree in Physics of biosystems; grade: 109/110.
Institution  "La Sapienza", University of Rome, Italy.
Dissertation "Use of Homology Information for Replica Exchange Method implementation in Protein Folding Predition".
Supervisor Anna Tramontano,  Professor of Biochemistry,  University of Rome "La Sapienza"
Practical training From December 2011 to October 2012, researcher in the laboratory othe Biocomputing group of Prof. Anna Tramontano,  Professor of Biochemistry,  University of Rome "La Sapienza".
Main topics: implementatio of methods for protein fold prediction (in particular Monte Carlo methods), biological data analysis, statistic analysis on genetic data.
Study abroad From October 2010 to June 2011, visiting student at the dip. of Physics of the "Universidad de Granada" (Spain) 

Dates (from-to) october 2006 - september 2010
Title of qualification awarded Bachelor's degree in Physics; grade: 102/110.


"La Sapienza", University of Rome, Italy.

Quantization of the Magnetic Field in simply connected Superconductors

Study abroad From September 2008 to September 2009, Exchange student (Erasmus programme) at the dip. of Physics of the University of Birmingham (UK) 
Administration and networks Data management and administration: Users management, Data analysis, Backup and recovery duties, entity-relationship (ER) diagram, Database planning, Data security, Database upgrade and management.
Operating systems : Windows 98, Windows 2000 Professional, Windows 2000 Server, Windows XP, Windows Vista, Linux, Unix.
Database: Access, MySql.


Informatics tools: Latex, Ms Office Package, Open Office, Adobe Acrobat.
Mathematical Software: Matlab, R, Origin.
Support system: Software updating, Systems configuration,  backup/restore duties, Help desk Microsoft Office support, Peripheral systems support.
Software development Programming languages: C Language, C++, HTML, Python, Perl.

Bioinformatics skills

Monte Carlo simulations. 

Molecular Dynamics simulations. 

Machine learning on biological data.


Awards and Fellowships



Selected as participant  to attend the “Biomolecular Simulations” EMBO course in Paris July 2014

EMBO fellowship winner to attend the “Biomolecular Simulations” EMBO course in Paris July 2014

CASP11 student fellowship winner to attend CASP11 in Riviera Maya December 2014

Best Scientific Poster winner of CASP11 Experiment



I am currently working on three projects of which I am the main developer:

                                                                                       The first one is about the use of homology information in de-novo protein structure prediction. It is accepted that homologous proteins have similar native structures, thus their energy landscapes and therefore their Hamiltonians must be similar at least near such conformation. This allowed us to develop, starting from a standard ab-initio protocol implemented using the Rosetta modeling suite, a Replica Exchange method in which the Hamiltonians of homologous proteins are used to characterize the replicas.
                          The second project is about protein interaction and peptide design. Considering that protein-peptide interactions adopt similar relative backbone arrangements as those observed between different regions of monomeric proteins, although the similarity is not necessarily present at the level of the amino acid sequence, therefore the backbone interaction motifs present in monomeric structures could be used to guide the design of protein-binding peptides. We are developing a tool that first derives a set of peptide backbones scaffolds from monomeric proteins that harbor the same backbone arrangement as the binding site of the protein of interest and next, designs optimal sequences for the identified peptide scaffolds.

The third one is about the study of the electrostatic distribution of antibody surface. Using the currently available software to solve the Poisson-Boltzmann’s equation we are studying the antibody electrostatic potentials in order to discover electrostatic features that can lead to useful information to predict the antibody’s characteristic starting from their structure alone.

Last Updated ( Tuesday, 28 April 2015 10:58 )