The SCARLET Workshop will be structured on 4 main sessions, with a series of oral presentations, posters and discussions, according to the following general scheme:

Wednesday, April 2nd 13:30-14:00
14:00-17:45
20:00
Registration
Session 1: Laboratory methods: today and tomorrow
Social Dinner at the Legrion Restaurant, Via Candiani 124
Thursday, April 3rd 09:00-12:30
14:00-17:30
since 19:00
Session 2: in silico approach and regulatory perspective
Session 3: in silico approach and industrial use
Apéritif at the Obikà Mozzarella Bar, Via S.ta Redegonda 3
in the centre of Milan, followed by a visit to the exhibition
"The Art of Women" at the Royal Palace in Duomo's Square

Friday, April 4th 09:00-12:30 Session 4: Improvements and perspectives

Oral presentations and discussions will be held in the "Alessandro e Noemi Guasti" Conference Room (also indicated as Conference Room B), at the ground floor of the Mario Negri Institute.
Posters will be displayed for the whole duration of the event in a specific Poster Room, near to the workshop main venue.

Chairman of the session:Raffaella Corvi
14:00-14:15

Welcome and Introduction
Emilio Benfenati

14:15-14:45

Emerging issues in genotoxicity and carcinogenicity that have implications for structure-activity analyses (abstract)
David M. DeMarini

14:45-15:15

Problems of interpretation and prediction from the genotoxicity tests currently used to satisfy European regulations (abstract)
David Kirkland

15:45-16:15

High throughput screening for in vitro toxicity screening: a gradual acceptance of new test methods (abstract)
Willem G. E. J. Schoonen

16:15-16:45

Integration of different lines of evidence for the identification of carcinogenic chemicals (abstract)
Vincent James Cogliano

16:45-17:45

Question time & General Discussion

Chairman of the session: Andrew Worth
09:00-09:30

New findings on QSARs for mutagens and carcinogens (abstract)
Romualdo Benigni

09:30-10:00

A Weight of Evidence approach for the genotoxic evaluation of chemicals using (Q)SARs and for which low exposure is anticipated (abstract)
Etje Hulzebos

10:30-11:00

The Danish experience: integration of QSAR with in vitro and in vivo data for regulatory purposes (abstract)
Jay Niemelä

11:00-11:30

Understanding genotoxic carcinogens through data mining the fingerprints (abstract)
Chihae Yang

11:30-12:30

General Discussion including Posters

Chairman of the session:  Roberta Bursi
14:00-14:30

The false-positive, false negative paradigm in drug safety testing: genotoxicity of non-covalent drug/DNA interactions (abstract)
Ronald D. Snyder

14:30-15:00

The chemical industry, the EPAA initiative and the in silico models for carcinogenicity and mutagenicity (abstract)
Gladys Ouédraogo-Arras

15:00-15:30

The pharmaceutical industry and the use of in silico models for carcinogenicity and mutagenicity (abstract)
Wolfgang Muster

16:00-16:30

The food industry and the use of in silico models for carcinogenicity and mutagenicity (abstract)
Benoît Schilter

16:30-17:00

In vitro genetox battery results to predict carcinogenicity - decision theory approach (abstract)
Joanna Jaworska

17:00-17:30

Question Time & General Discussion

Chairman of the session: Giuseppina Gini
09:00-09:30

Carcinogenicity and Mutagenicity Data: New Initiatives to Improve Access & Utility for Modeling (abstract)
Ann M. Richard

09:30-10:00

The EC funded projects on in silico models for regulatory purposes and for carcinogenicity and mutagenicity (abstract)
Emilio Benfenati

10:00-10:30

Estimation of Carcinogenicity using Hierarchical Clustering and Nearest Neighbor Methodologies (abstract)
Todd M. Martin

11:00-12:30

General Discussion and Conclusions

The 12 posters presented at the SCARLET Workshop will be displayed on boards in the Poster Room. Boards will be indicated by the name of the main presenter and a number, according to the table below.
All posters will be accessible for the whole duration of the workshop, for consultation and comments, in particular during coffee and lunch breaks. As from the programme above, a specific session of discussion (on Thursday, April 3rd, 11:30-12:30) will be particularly dedicated to themes and inputs from posters.

Niu Bing

Predicting Bis[(acridine-4-carboxamides)propyl]methylamines analog Compounds by Using Support Vector Regression
Niu Binga, Lu WenConga,b

Cecilia Bossa

A new module for predicting mutagens / carcinogens implemented in Toxtree v. 1.40
Cecilia Bossaa, Romualdo Benignia

Minne Heringa

Application of QSARs to screen detected pollutants of (drinking) water for human health hazards
Minne Heringaa

Natalja Fjodorova

Modeling of carcinogenicity for regulatory purpose using counter propagation artificial neural networks (CP ANN)
Natalja Fjodorovaa, Marjana Novicha, Marjan Vrachkoa, Marjan Tushara

Andreas Maunz

Instance-based Regression Models for Quantitative Biological Activities using Support Vector Machines and Multilinear Models
Andreas Maunza, Christoph Helmaa,b

Richard Williams

Validating Alerts in Derek for Windows
Richard Williamsa, Carol A. Marchanta, Elizabeth M. Covey-Crumpa, Kate Langtona, Russell T. Navena

Rodolfo Gonella Diaza

Coupling carcinogenicity with mutagenicity models to improve its predictive power
Rodolfo Gonella Diazaa,Chiara Porcellia,Alessandra Roncaglionia,Nadège Piclinb,Marco Pintoreb,Jacques Chretienb,Emilio Benfenatia

Andrey A. Toropov

QSAR modelling of carcinogenicity and mutagenic potentials by optimal SMILES-based descriptors
Andrey A. Toropova,b, Alla P. Toropovaa,b, Emilio Benfenatia

Yana K. Koleva

Category Formation for the Mutagenicity of Compounds Acting by Michael-Type Addition and SNAr Mechanisms
Yana K. Kolevaa, Mark T.D. Cronina, Judith C. Maddena

Mark T.D. Cronin

A Structure-Mutagenicity Relationship for α,β-Unsaturated Carbonyl Compounds and a Comparison with Acute Toxicity
Yana K. Kolevaa, Judith C. Maddena, Mark T.D. Cronina

Steven J. Enoch

A Comparison of the Mechanisms of Action Required to Predict Mutagenicity and Skin Sensitisation
Steven J. Enocha, Mark Hewitta, Yana K. Kolevaa, Judith C. Maddena, Mark T. D. Cronina

Thomas Ferrari

A new Predictive Model of Mutagenicity, with statistical analysis and validation using data mining tools in WEKA
Thomas Ferraria, Giuseppina Ginia

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