Real deep learning and artificial neural networks

Si segnala il seminario del Prof. Massimo Buscema (University of Colorado & SEMEION) “Real deep learning and artificial neural networks”, Lunedì 25 marzo 2019, Ore 15:00, Edificio U1 – Aula Marchetti, Università Milano – Bicocca (P.zza della Scienza, 1, 20126 Milano, Italy). A seguire, la Dr.ssa Francesca Grisoni (ETH Zurich, Dept. of Chemistry and Applied Biosciences) presenterà un case study dal titolo: “Recurrent Neural Networks for de novo drug design”. Maggiori informazioni e locandina del seminario.

Milano Chemometrics cited in a book

“Bella e Potente: La chimica dagli inizi del Novecento ai giorni nostri” by Luigi Cerruti (Editori Riuniti University Press) outlines the history of chemistry of the last century until now. Two pages of the book are dedicated to our research group for the fundamental role played in the field of molecular descriptors. [read more…]

Handbook of Bibliometric Indicators

The book “Handbook of Bibliometric Indicators: Quantitative Tools for Studying and Evaluating Research”, published by Wiley and written by Roberto Todeschini and Alberto Baccini is now available. This is the first systematic guide to the growing jungle of citation indices and other bibliometric indicators. Further info here.

PhD position available

AEGIS (Accelerated Early staGe drug dIScovery) is a Marie Skłodowska -Curie Innovative Training Network (ITN) for early stage researchers (ESR) funded by the European Commission under the H2020 Programme, the EU framework programme for research and innovation. The AEGIS ITN will provide a comprehensive and cross-disciplinary structured curriculum for doctoral students in early drug discovery. A key research aim of AEGIS is improving the efficiency and success of early stage drug development by combining innovative methods and techniques to tackle difficult but promising targets (i.e. protein-protein interactions), as potentially valuable drug targets are often neglected due to the high risk associated with their validation. Further info here: http://www.aegis-itn.eu/

Best oral presentation

Matteo Cassotti is the winner for the best oral presentation at the “16th International Workshop on QSAR in Environmental and Health Sciences” held at Istituto di Ricerche Farmacologiche Mario Negri, Milan – Italy. Matteo gave a talk about a QSAR model that can be used in the framework of the European REACH regulation to predict acute toxicity of chemicals towards Daphnia magna.

QSAR software for the study of dyes properties

An agreement has been finalised between REACH&Colours Italia Srl (Milano) and Università degli Studi di Milano – Bicocca (UNIMIB) with the aim of developing a new software, innovative, revolutionary and specifically oriented for the study of organic dyes, able to model the quantitative relations between molecular structure and specific properties of dye molecules (Q-SAR).